WO2013140767A1

WO2013140767A1 - Context processing device, information processing device, context processing method, and computer program

Info

Publication number: WO2013140767A1
Application number: PCT/JP2013/001764
Authority: WO
Inventors: 洋介本橋; 秀和坂上
Original assignee: 日本電気株式会社
Priority date: 2012-03-23
Filing date: 2013-03-15
Publication date: 2013-09-26

Abstract

[Problem] To provide a technology whereby, while context information which is gathered from an induction object is scaled to other context information which has a high correlation with the induction object, said context information is not scaled to other context information which has no or a low correlation therewith. [Solution] A context processing device comprises: an ontology information storage unit (11) which stores ontology information including ontology node information and relationality information between the ontology node information; an ontology search rule information storage unit (12) which stores ontology search rule information whereby a search is permitted which reaches the relationality with respect to the ontology node information; a context acquisition unit (13); an ontology information search unit (14) which sequentially executes a search process which searches, among other ontology node information which has a relationality with the ontology node information which correlates with the context information, for that for which the search is permitted by the ontology search rule information, and adds each piece of the searched ontology node information to a scaled context list; and a scaled context list output unit (15).

Description

Context processing device, information processing device, context processing method, and computer program

The present invention relates to a context processing device that processes context information used in inference processing, an information processing device that performs inference processing using such a context processing device, a context processing method, and a computer program.

An information processing apparatus that obtains an inference result by applying an inference rule to input context information and presents the obtained inference result is known. Here, the context information is information collected from an inference process target. For example, the context information is character information or image information included in the document data, measurement data output from the sensor device, or operation log data for the device or application software.

As an inference method used by such an information processing apparatus, for example, there is deductive inference. When deductive inference is used, the information processing apparatus holds an inference rule expressed in an IF-THEN format as shown in the following equation (1), for example.
IF temperature> 100 & liquid == water THEN liquid → (change) → gas ・・・ Formula (1)
The first line of Equation (1) represents a condition (IF information) that “the temperature is 100 degrees Celsius or more and the liquid is water”. Further, the second line of the formula (1) represents an event (THEN information) that “the liquid changes to a gas” when the IF information is satisfied.
The information processing apparatus using such an inference rule infers that the THEN information set for the IF information is generated when the input context information satisfies the IF information.

For example, such an information processing apparatus holds in advance, as inference rules, case information such as important past cases and defect cases and the conditions under which such cases may occur in the design of a certain device. Then, the information processing apparatus extracts context information from the design document data of the apparatus, and applies an inference rule to the extracted context information. In this case, the information processing apparatus can present, as an inference result, failure cases that may occur due to the design based on such design document data, important past cases related to the design, and the like. As a result, the information processing apparatus can support the user's work of checking the contents of the design document data.

By the way, in such an information processing apparatus, the expression of the input context information and the expression used in the IF information of the held inference rule may be similar but slightly different. In such a case, the information processing apparatus does not apply such an inference rule to the input context information. As a result, the information processing apparatus may not be able to present all deep knowledge inherently related to the original inference target from which the context information is extracted as an inference result.

For example, an information processing device that infers and presents knowledge about a part holds an inference rule having IF information “IF part type = bypass capacitor” and knowledge related to the THEN information of the inference rule. And At this time, it is assumed that context information “component type = capacitor” is input. In this case, this component may be a “bypass capacitor”. However, this information processing apparatus cannot determine whether or not this component is a bypass capacitor by deductive reasoning. Therefore, this information processing apparatus does not apply the inference rule having the IF information “IF component type = bypass capacitor” to this context information. As a result, the information processing apparatus cannot present knowledge related to the inference rule even though the component may be a bypass capacitor. Thus, this information processing apparatus cannot present all of the knowledge deeply related to the original inference object from which the context information is extracted as an inference result.

As a related technique for solving such a problem, there is a technique for extending input context information using ontology information (see, for example, Patent Document 1). Here, ontology information is information including information representing various concepts in a target field and information representing relationships between concepts.

The information processing apparatus described in Patent Document 1 obtains a similarity between individual knowledge stored in a design case database by a distance calculation method using ontology information. And this information processing apparatus infers other individual knowledge similar to a certain individual knowledge according to the calculated similarity. Specifically, this information processing apparatus has ontology information that hierarchically represents context information in the target field. Then, this information processing apparatus calculates the distance between the context information included in certain individual knowledge and the context information included in other individual knowledge based on the number of connections between the context information in the hierarchical structure of ontology information. That is, this information processing apparatus calculates that the distance is longer as the number of connections between the context information is larger, and the similarity between the individual knowledge including the context information is lower.

Also, there is an information processing device described in Patent Document 1 that expands input context information to other similar context information based on ontology information (see, for example, Patent Document 2). The information processing apparatus described in Patent Document 2 sets a stop mark on a node representing a general concept among nodes constituting a hierarchical structure of ontology information. When this information processing apparatus expands the input context information based on ontology information, the node set with the stop mark is set as the end point of the upper search.

JP-A-11-161696 JP 2009-80675 A

However, the information processing apparatus described in Patent Document 1 can present more individual knowledge related to a certain individual knowledge, but has the following problems.

This information processing apparatus calculates the similarity between individual knowledge based on the distance between context information in the hierarchical structure of ontology information. For this reason, this information processing apparatus can present other individual knowledge including context information whose distance is close to the context information included in a certain individual knowledge. Here, in order to present more individual knowledge inherently related to an individual knowledge, it is necessary to expand the context information included in the individual knowledge to context information included in a range up to a far distance. .

For example, Patent Document 1 describes an example in which the context information “tub” is extended to other context information based on ontology information shown in FIG. In this case, this information processing apparatus expands the context information “tub” to context information up to a distance of 3 connections in FIG. Then, for example, context information “桶” is obtained. It is considered that the context information “関連” is highly related to the original individual knowledge from which the context information “tub” is extracted. However, this information processing apparatus extends the context information “tub” to not only “桶” but also other “drainage traps”, “hot water supply facilities”, etc. up to a distance of 3 connections. Much of this context information may be unrelated or low with respect to the original individual knowledge. As a result, although this information processing apparatus can present individual knowledge including “桶” that is highly relevant to the original individual knowledge from which the context information “tub” is extracted, as an inference result, there is no or low relevance “ Individual knowledge including “drainage trap” and “hot water supply equipment” is also presented as inference results.

As described above, the information processing apparatus described in Patent Document 1 is configured so that the context information collected from the inference target is expanded to other context information that is highly relevant to the inference target. There was a problem of extending to the context information.

Further, the information processing apparatus described in Patent Document 2 can suppress the input context information from being expanded to other inappropriate context information, but has the following problems.

This information processing apparatus uses the node for which the stop mark is set as the end point of the upper search in the ontology information. Therefore, this information processing apparatus can suppress the input context information from being expanded to a superordinate concept that is not highly relevant. However, in the hierarchical structure of ontology information, the relevance of the concept of the same hierarchy or lower hierarchy may not be high with respect to the input context information. In such a case, this information processing apparatus cannot suppress expansion to context information that does not have high relevance unless a stop mark is set in a node that is a superordinate concept of such a node that does not have high relevance. For example, in the ontology information shown in FIG. 24, the information processing apparatus described in Patent Document 2 does not expand the context information “tub” to “drainage trap” or “hot water supply equipment”. Must be set. However, if a stop mark is set for “facility”, the information processing apparatus cannot expand the context information “tub” to “桶” having high relevance.

As described above, even when the related technique described in Patent Document 2 is applied to an information processing apparatus that expands context information collected from an inference target, the inference object is not related to or low in other context information. There was a problem to suppress expansion. The problem is that the extension to other highly relevant context information is suppressed.

The present invention has been made in order to solve the above-described problem. The context information collected from the inference object is expanded to other context information highly relevant to the inference object, but is not relevant or low. An object of the present invention is to provide a technique for reducing expansion to other context information.

The context processing apparatus of the present invention includes ontology information storage means for storing ontology information including ontology node information representing each concept in a target field and relationship information representing a relationship between the ontology node information, and the ontology node. In a search process that traces the relationship between information, ontology search rule information storage means for storing ontology search rule information indicating permission to search for the ontology node information, context acquisition means for acquiring context information, and By referring to the ontology information including the ontology node information corresponding to context information, a search is permitted by the ontology search rule information among other ontology node information having a relationship with the ontology node information. Ontology A search process for searching information is executed, and the searched ontology node information is sequentially executed by referring to the ontology information storage means and the ontology search rule information storage means, and each searched ontology node information is searched. Ontology information search means for adding to the extended context list, and extended context list output means for outputting the extended context list.

An information processing apparatus according to the present invention includes the above-described context processing apparatus, knowledge information storage means for storing knowledge information, inference rule storage means for storing an inference rule related to the knowledge information, and the context processing apparatus. An inference means for obtaining the knowledge information related to the applied inference rule as an inference result by applying the inference rule to each context information included in the extended context list to be output, and presenting the inference result Inference result presentation means.

The context processing method of the present invention stores ontology information including ontology node information representing each concept in a target field and relationship information representing a relationship between the ontology node information, and the ontology node information In the search process for tracing the relationship between the ontology node information, the ontology search rule information indicating that the search for the ontology node information is permitted is stored, and when the context information is acquired, the ontology node information corresponding to the context information is obtained. A search process for searching for ontology node information permitted to be searched by the ontology search rule information among other ontology node information having a relationship with the ontology node information by referring to the ontology information including Execute and search on ontology node information There are, along with sequentially executes the search processing by referring to the ontology information and the ontology search rule information, add each ontology node information of searching the extended context list, and outputs the extended context list.

The computer program of the present invention includes ontology information storage unit that stores ontology information including ontology node information representing each concept in a target field and relationship information representing a relationship between the ontology node information; and Context in which context information is acquired using an ontology search rule information storage unit that stores ontology search rule information that represents permitting a search for ontology node information in a search process that traces the relationship between ontology node information Among the other ontology node information having a relationship with the ontology node information by referring to the ontology information including the ontology node information corresponding to the context information, the ontology search rule Search allowed by information A search process for searching for the ontology node information that has been performed, and for the searched ontology node information, the search process is sequentially executed and searched by referring to the ontology information storage unit and the ontology search rule information storage unit An ontology information search step of adding each ontology node information to the extended context list and an extended context list output step of outputting the extended context list are caused to be executed by a computer device.

The present invention reduces the expansion of context information collected from the target of inference processing to other context information that is highly relevant to the inference target, but is not relevant or low. Technology can be provided.

It is a functional block diagram of the context processing apparatus as the first embodiment of the present invention. It is a flowchart explaining operation | movement of the context processing apparatus as the 1st Embodiment of this invention. It is a flowchart explaining the detail of the context expansion process of the context processing apparatus as the 1st Embodiment of this invention. It is a functional block diagram of the context processing apparatus as the 2nd Embodiment of this invention. It is a figure explaining an example of the information memorized by ontology information storage part in a 2nd embodiment of the present invention. It is a figure explaining an example of the information memorized by ontology search rule information storage part in a 2nd embodiment of the present invention. It is a flowchart explaining the detail of the context expansion process of the context processing apparatus as the 2nd Embodiment of this invention. It is a functional block diagram of the context processing apparatus as the 3rd Embodiment of this invention. It is a figure explaining an example of the information memorize | stored in the context acquisition availability information storage part in the 3rd Embodiment of this invention. It is a flowchart explaining the operation | movement which the ontology search rule information produces | generates by the context processing apparatus as the 3rd Embodiment of this invention. It is a flowchart explaining the detail of the ontology search rule information generation process of the context processing apparatus as the 3rd Embodiment of this invention. It is a functional block diagram of the context processing apparatus as the 4th Embodiment of this invention. It is a figure explaining an example of the information memorized by the context acquisition possibility information storage part in a 4th embodiment of the present invention. It is a flowchart explaining the detail of the ontology search rule information generation process of the context processing apparatus as the 4th Embodiment of this invention. It is a functional block diagram of the context processing apparatus as the 5th Embodiment of this invention. It is a figure explaining an example of the information memorize | stored in the context acquisition availability information storage part in the 5th Embodiment of this invention. It is a figure explaining an example of the information memorized by ontology search rule information storage part in a 5th embodiment of the present invention. It is a flowchart explaining the detail of the ontology search rule information generation process of the context processing apparatus as the 5th Embodiment of this invention. It is a block diagram which shows the structure of the information processing system as the 6th Embodiment of this invention. It is a functional block diagram of each apparatus which comprises the information processing system as the 6th Embodiment of this invention. It is a figure explaining an example of the information memorized by the knowledge information storage part in a 6th embodiment of the present invention. It is a figure explaining an example of the information memorized by an inference rule storage part in a 6th embodiment of the present invention. It is a flowchart explaining operation | movement of the information processing system as the 6th Embodiment of this invention. It is a figure which shows an example of ontology information used by related technology.

Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings.

(First embodiment)
FIG. 1 shows a functional block configuration of the context processing apparatus 1 as the first embodiment of the present invention. In FIG. 1, the context processing apparatus 1 includes an ontology information storage unit 11, an ontology search rule information storage unit 12, a context acquisition unit 13, an ontology information search unit 14, and an extended context list output unit 15. Here, the context processing device 1 is configured by a computer device including a CPU (Central Processing Unit), a RAM (Random Access Memory), a ROM (Read Only Memory), and a storage device such as a hard disk. The ontology information storage unit 11 and the ontology search rule information storage unit 12 are configured by a storage device. The context acquisition unit 13, the ontology information search unit 14, and the extended context list output unit 15 are configured by a CPU that reads a computer program stored in a ROM or a storage device into the RAM and executes it. Note that the hardware configuration of each functional block of the context processing device 1 is not limited to the above configuration.

The ontology information storage unit 11 stores one or more pieces of ontology information. The ontology information is information including ontology node information that represents each concept in the target field and relationship information that represents the relationship between the ontology node information. For example, the ontology information storage unit 11 may store ontology information including two ontology node information having a relationship and information indicating “relevant”.

The ontology search rule information storage unit 12 stores one or more ontology search rule information. The ontology search rule information is information indicating that the search for the ontology node information is permitted in the search process for tracing the relationship between the ontology node information. For example, ontology search rule information related to certain ontology node information X represents permitting a search for ontology node information X. Here, the search follows the relationship from other ontology node information having a relationship with ontology node information X.

The context acquisition unit 13 acquires context information from the outside. The context information is information collected from the inference processing target. For example, the context information may be character information or image information included in document data, measurement data output from a sensor device, operation log data for an apparatus or application software, or the like.

The ontology information search unit 14 performs a search process for tracing the relationship from ontology node information corresponding to the context information acquired by the context acquisition unit 13. Further, the ontology information search unit 14 adds each searched ontology node information to the extended context list. The extended context list includes at least context information acquired by the context acquisition unit 13. At this time, the ontology information search unit 14 searches for ontology node information permitted to be searched by the ontology search rule information, among other ontology node information having a relationship with the corresponding ontology node information. Hereinafter, the corresponding ontology node information is also referred to as search source ontology node information. Further, other ontology node information having a relationship with the search-source ontology node information is also referred to as search-destination ontology node information. That is, the ontology information search unit 14 adds the search destination ontology node information to the extended context list when the search from the ontology node information of the search source to the ontology node information of the search destination is permitted by the ontology search rule information. Then, the ontology information search unit 14 further executes a search process using the ontology node information added to the extended context list as a search source.

The extended context list output unit 15 outputs an extended context list.

The operation of the context processing apparatus 1 configured as described above will be described with reference to FIGS.

In FIG. 2, first, the context acquisition unit 13 acquires context information (step S1).

Next, the ontology information search unit 14 executes the context extension process using the ontology node information corresponding to the context information acquired in step S1 as a search source (step S2). Details of this step will be described later.

Next, the extended context output unit 15 outputs the extended context list generated in step S2 (step S3).

Thus, the context processing device 1 ends the operation.

Next, FIG. 3 shows details of the context extension processing in step S2.

Here, first, the ontology information search unit 14 searches the ontology information storage unit 11 for ontology information including search source ontology node information (step S11).

Here, if there is a search result (Yes in step S12), the ontology information search unit 14 executes the following steps S13 to S16 for each searched ontology information.

Here, first, the ontology information search unit 14 obtains search destination ontology node information having a relationship with the search source ontology node information from the ontology information (step S13).

Next, the ontology information search unit 14 determines whether or not the ontology search rule information that permits the search to the ontology node information of the search destination obtained in step S13 is stored in the ontology search rule information storage unit 12. (Step S14).

If it is determined that the corresponding ontology search rule information is stored, the ontology information search unit 14 adds the search destination ontology node information obtained in step S13 to the extended context list (step S15). . It is assumed that the context information acquired by the context acquisition unit 13 is included in the extended context list in the initial state.

Next, the ontology information search unit 14 recursively executes the context extension processing from step S11 using the ontology node information of the search destination added to the extension context list in step S15 as a new search source (step S16).

Next, the ontology information search unit 14 executes the processing from step S13 for the next ontology information searched in step S11.

On the other hand, if it is determined in step S14 that the corresponding ontology search rule information is not stored, the ontology information search unit 14 ends the processing related to the ontology information, and the next ontology information searched in step S11 is processed as a step. The process from S13 is executed.

If the ontology information including the search source ontology node information is not searched in step S11 (No in step S12), the context processing device 1 ends the context extension process.

Next, the effect of the first embodiment of the present invention will be described.

The context processing apparatus according to the first embodiment of the present invention is not related to while expanding the context information collected from the inference processing target to other context information highly related to the inference target, or Extension to other low context information can be reduced.

The reason is that the ontology information search unit expands the ontology node information permitted to be searched by the ontology search rule information, among other ontology node information having a relationship with the ontology node information corresponding to the given context information. This is because it is added to the context list. Here, the ontology information storage unit stores information representing the relationship between the ontology node information. Also, ontology search rule information storage unit stores ontology search rule information indicating that a search for ontology node information is permitted. This is because the ontology information search unit performs a search based on the ontology search rule information from the ontology node information added to the extended context list. As a result, the context processing apparatus according to the present embodiment is allowed to search by ontology search rule information while advancing the search to ontology node information having a relationship with ontology node information corresponding to the input context information. The search will not proceed for ontology node information that is not yet available. As a result, the context processing apparatus according to the present embodiment does not expand the context information collected from the inference target to context information that is low or unrelated to the inference target.

(Second Embodiment)
Next, a second embodiment of the present invention will be described in detail with reference to the drawings. Note that, in each drawing referred to in the description of the present embodiment, the same reference numerals are given to the same configuration and steps that operate in the same manner as in the first embodiment of the present invention, and the detailed description in the present embodiment. Description is omitted.

First, FIG. 4 shows a functional block configuration of the context processing device 2 as the second embodiment of the present invention. 4, the context processing device 2 is different from the ontology information storage unit 11 in the ontology information storage unit 21 and the ontology search rule information storage unit with respect to the context processing device 1 as the first embodiment of the present invention. The difference is that the ontology search rule information storage unit 22 is replaced with 12 and the ontology information search unit 24 is replaced with the ontology information search unit 14.

The ontology information storage unit 21 stores, in the ontology information according to the first embodiment of the present invention, relationship information having directionality as relationship information between ontology node information. The relationship information having directionality may be, for example, “parent and child” in a hierarchical structure or “causal” in a causal relationship structure. An example of information stored in the ontology information storage unit 21 is shown in FIG. In FIG. 5, ontology information indicated by each row includes two ontology node information (X node and Y node) and relationship information. In this example, the ontology information storage unit 21 represents the hierarchical structure between ontology node information by storing ontology information including at least relationship information “parent and child”. For example, the ontology information on the first line indicates that “memory” is the parent of “volatile memory”. In this example, the ontology information whose relationship information is “parent-child” specifies that the X node is the parent of the Y node. In addition, the ontology information may include a registration date and a user ID of the registrant.

The ontology search rule information storage unit 22 further indicates the direction of the relationship that is permitted to be traced when searching for the ontology node information corresponding to the ontology search rule information according to the first embodiment of the present invention. Contains information to represent. An example of information stored in the ontology search rule information storage unit 22 is shown in FIG. In FIG. 6, ontology search rule information indicated by each row includes ontology node information and search route information. Here, the search route information represents the direction of the relationship in which the search is permitted. For example, the search rule information on the first line indicates that a search from the child of the memory to the parent memory is permitted in the direction from the child to the parent. In addition, ontology search rule information may include user IDs of searchable users.

The ontology information search unit 24 includes ontology node information that is permitted to be searched in the direction of the relationship by the ontology search rule information among the ontology node information of the search destination having the relationship with the ontology node information of the search source. Explore. The ontology information search unit 24 starts such a search process from ontology node information corresponding to the context information acquired by the context acquisition unit 13. Then, the ontology information search unit 24 adds the searched ontology node information to the extended context list and continues the search process in the same manner using the added ontology node information as a search source. Moreover, the ontology information search part 24 should just complete | finish a search process, when a search destination is no longer found.

Specifically, for example, the ontology information search unit 24 searches for ontology information including ontology node information corresponding to the context information acquired by the context acquisition unit 13 as an X node or a Y node. Then, the ontology information search unit 24 may determine whether search from the corresponding node to the other node is permitted in the searched ontology information based on the ontology search rule information.

The operation of the context processing device 2 configured as described above will be described with reference to the drawings. The context processing device 2 operates in substantially the same manner as the context processing device 1 as the first embodiment of the present invention described with reference to FIG. 2, but the details of the context extension processing in step S2 are different. Details of the context extension processing in the present embodiment are shown in FIG.

In FIG. 7, first, the ontology information search unit 24 searches the ontology information storage unit 21 for ontology information including search source ontology node information (step S21).

Here, when there is a search result (Yes in step S22), the ontology information search unit 24 executes the following steps S23 to S27 for each searched ontology information.

Here, first, the ontology information search unit 24 obtains search destination ontology node information having a relationship with the search source ontology node information from the ontology information (step S23).

Next, the ontology information search unit 24 extracts search route information from the ontology information (step S24).

Here, the search route information is information representing the direction of the relationship from the search source ontology node information to the search destination ontology node information in the target ontology information. For example, a case will be described in which ontology information (first line in FIG. 5) including the search source ontology node information “volatile memory” in “Y node” is acquired in step S21. In this case, the search source ontology node information “volatile memory” is a Y node, and the relationship information is “parent-child”. Therefore, the ontology information search unit 24 extracts “child → parent” as search route information from the search source “volatile memory” (Y node) to the search destination “memory” (X node).

Next, the ontology information search unit 24 stores in the ontology search rule information storage unit 22 the ontology search rule information that permits the search in the direction of the search route information extracted in step S24 with respect to the ontology node information of the search destination. It is determined whether or not there is (step S25).

For example, a case will be described in which ontology information on the first line in FIG. 5 is targeted and “child → parent” is extracted as search route information in step S24. In this case, if the ontology information search unit 24 determines whether or not the search rule information having the search route information of “child → parent” exists in the ontology search rule information storage unit 22 for the search target “memory”. Good.

If it is determined in step S25 that there is corresponding ontology search rule information, the ontology information search unit 24 adds search destination ontology node information to the extended context list (step S26). Specifically, the ontology information search unit 24 may add ontology node information included in the corresponding ontology search rule information to the extended context list as context information.

Next, the ontology information search unit 24 recursively executes the context extension processing from step S21 using the ontology node information of the search destination added to the extension context list in step S26 as a new search source (step S27).

Next, the ontology information search unit 24 executes the processing from step S23 for the next ontology information searched in step S21.

On the other hand, if it is determined in step S25 that the corresponding ontology search rule information is not stored, the ontology information search unit 24 ends the processing related to the ontology information, and the next ontology information searched in step S21 The process from S23 is executed.

If the ontology information including the corresponding ontology node information is not searched in step S21 (No in step S22), the context processing device 2 ends the context extension process.

Next, a specific example of the operation of the context processing apparatus 2 will be described. Here, description will be made on the assumption that the information shown in FIG. 5 is stored in the ontology information storage unit 21 and the information shown in FIG. 6 is stored in the ontology search rule information storage unit 22.

First, it is assumed that the context acquisition unit 13 acquires the context information “DRAM” (step S1).

Then, the ontology information search unit 24 stores the ontology node information “DRAM” (search source) in the second row (Y node), the fourth row (X node), the fifth row ( X node) (step S21).

Therefore, the ontology information search unit 24 executes steps S23 to S27 for the ontology information on the second, fourth, and fifth lines, respectively.

<Processing of ontology information on the 4th line>
First, for the ontology information in the fourth row, the ontology information search unit 24 has found the search source in the X node, and acquires the Y node “SDRAM” as the search destination (step S23).

Next, “parent → child” is extracted as search route information from the search source to the search destination (step S24).

Next, the ontology information search unit 24 determines that there is no ontology search rule information “SDRAM, parent → child” for the search destination “SDRAM” (No in step S25).

Therefore, the ontology information search unit 24 finishes the processing related to the ontology information on the fourth line.

<Process on ontology information on line 5>
Similarly, for the ontology information in the fifth row, the ontology information search unit 24 has found the search source in the X node, and acquires the Y node “DRAM module” as the search destination (step S23).

Next, the ontology information search unit 24 extracts “parent → child” as search route information from the search source to the search destination (step S24).

Next, since the ontology search rule information “DRAM module, parent → child” does not exist for the search destination “DRAM module” (No in step S25), the ontology information search unit 24 finishes the process related to the ontology information on the fifth line. To do.

<Processing of ontology information on the second line>
Next, for the ontology information in the second row, the ontology information search unit 24 has found the search source in the Y node, and acquires the X node “volatile memory” as the search destination (step S23).

Next, the ontology information search unit 24 extracts “child → parent” as search route information from the search source to the search destination (step S24).

Next, the ontology information search unit 24 determines that there is ontology search rule information “volatile memory, child → parent” for the search target “volatile memory” (Yes in step S25).

Therefore, the ontology information search unit 24 adds “volatile memory” to the extended context list (step S26).

Next, the ontology information search unit 24 further executes a context extension process using the search target “volatile memory” as a new search source.

First, the ontology information search unit 24 finds ontology node information “volatile memory” in the first row (Y node) and the third row (X node) of the ontology information storage unit 21 in FIG. 5 (step S21). ).

Note that although the “volatile memory” is also present in the X node in the second row, the ontology information search unit 24 determines that the route has already been taken in the second row and excludes it from the target of the search process.

Therefore, the ontology information search unit 24 executes steps S23 to S27 for the ontology information in the first row and the third row, respectively.

<Processing of ontology information on the first line>
First, since the ontology information search unit 24 has found a search source in the Y node, the ontology information search unit 24 acquires the X node “memory” as the search destination (step S23).

Next, the ontology information search unit 24 determines that there is ontology search rule information “memory, child → parent” for the search destination “memory” (Yes in step S25).

Therefore, the ontology information search unit 24 adds “memory” to the extended context list (step S26).

Next, the ontology information search unit 24 further executes context expansion processing using the search destination “memory” as a search source. Then, the ontology information search unit 24 finds the ontology node information “memory” in the sixth line (Y node) of the ontology information storage unit 21 in FIG. 5 (step S21). However, since there is no ontology search rule information “route, child → parent” (No in step S25), the ontology information search unit 24 ends the process related to the ontology information on the first line.

<Processing of ontology information on the third line>
First, since the ontology information search unit 24 has found a search source in the X node, the ontology information search unit 24 acquires the Y node “SRAM” as the search destination (step S23).

Next, the ontology information search unit 24 determines that there is ontology search rule information “SRAM, parent → child” for the search destination “SRAM” (Yes in step S25).

Therefore, the ontology information search unit 24 adds “SRAM” to the extended context list (step S26).

Next, the ontology information search unit 24 further executes context expansion processing using the search destination “SRAM” as the search source, but cannot find the ontology node information “SRAM” in the ontology information storage unit 21 any more (step S22). No). Therefore, the ontology information search unit 24 ends the process related to the ontology information on the third line.

Next, the extended context list output unit 15 outputs an extended context list including four context information of “DRAM”, “volatile memory”, “memory”, and “SRAM” (step S3).

As described above, the context processing device 2 expands the input context information “DRAM” to the context information of “volatile memory”, “memory”, and “SRAM”, and the “SDRAM” and “DRAM module” Do not expand.

This completes the description of the specific example of the operation of the context processing device 2.

In addition, in this Embodiment, it demonstrated centering on the example in which the ontology information storage part 21 memorize | stores ontology information including the relationship information of the type of "parent and child". In addition, the ontology information storage unit 21 may store other types of relationship information in the ontology information. Further, in this case, the ontology search rule information storage unit 22 may store ontology search rule information including other types of relationship information as search route information as necessary. For example, it is assumed that the ontology information storage unit 21 stores ontology information “X node: DRAM, Y node: SRAM, relationship: sibling”. In this case, the ontology search rule information storage unit 22 may store ontology search rule information “ontology node information: SRAM, search route information: siblings”. When the ontology information search unit 24 obtains ontology node information “DRAM” as a search source in the search process, it is assumed that a search in the “sibling” direction is permitted for “SRAM” as the search destination. , “SRAM” may be added to the extended context list.

Next, the effect of the second embodiment of the present invention will be described.

The context processing apparatus according to the second embodiment of the present invention can expand context information more appropriately by using ontology information having a directional relationship between nodes.

The reason is that the ontology information search unit expands the context information in accordance with the search rule information that is permitted to follow the direction of the relationship from the ontology node information of the search source to the ontology node information of the search destination.
Here, the ontology information storage unit stores the ontology information including information indicating the direction of the relationship between the ontology node information.
Further, the ontology search rule information storage unit stores the ontology search rule information including information indicating the direction of the relationship permitting the search. As a result, the context processing apparatus as the present embodiment has no relationship with the ontology node information having high relevance when tracing the relationship from the ontology node information corresponding to the context information collected from the inference object, or This is because low ontology node information can be distinguished with higher accuracy.

(Third embodiment)
Next, a third embodiment of the present invention will be described in detail with reference to the drawings. Note that, in each drawing referred to in the description of the present embodiment, the same reference numerals are given to the same configuration and steps that operate in the same manner as in the second embodiment of the present invention, and the detailed description in the present embodiment. Description is omitted.

First, FIG. 8 shows a functional block configuration of the context processing device 3 as the third embodiment of the present invention. In FIG. 8, in addition to the same configuration as the context processing device 2 as the second embodiment of the present invention, the context processing device 3 further includes a context acquisition availability information storage unit 36 and an ontology search rule information generation unit. 37. Here, the context acquisition availability information storage unit 36 is configured by a storage device. The ontology search rule information generation unit 37 is configured by a CPU that reads a computer program stored in a ROM or a storage device into a RAM and executes it. Note that the hardware configuration of each functional block constituting the context processing device 3 is not limited to the above-described configuration.

The context acquisition availability information storage unit 36 stores context acquisition availability information for each ontology node information. Here, the context acquisition availability information is information indicating whether each ontology node information can be acquired as context information by an external context collection device. The external context collection device is a device that outputs context information to the context acquisition unit 13. For example, an apparatus that collects and outputs context information from design document data corresponds to an external context collection apparatus.

An example of information stored in the context acquisition availability information storage unit 36 is shown in FIG. In FIG. 9, the context acquisition availability information indicated by each row includes context information and a context acquisition availability flag. In FIG. 9, for example, the context information “DRAM” can be acquired by the context collection device. Further, the context information “SDRAM” cannot be acquired by the context collection device.

Here, whether or not context information can be acquired will be described with a specific example. For example, assume that there is design drawing data for a device including an electrolytic capacitor as a part. At this time, the context collection apparatus may extract the context information “capacitor” from the design drawing data, but may not be able to extract the context information “electrolytic capacitor”. The reason is that the context information “capacitor” is always included in the “location in the drawing that is a capacitor” in the design drawing data. On the other hand, among such “locations in the drawing that are capacitors”, the “location in the drawing that is actually an electrolytic capacitor” does not necessarily include the information “this capacitor is an electrolytic capacitor”. Because there is. Alternatively, even if the information “This capacitor is an electrolytic capacitor” is included, the context collection device may extract the context information “electrolytic capacitor” from the location in the drawing depending on the extraction logic employed. This is because there are cases where it is not possible. Therefore, in such a case, the context acquisition availability information storage unit 36 stores a context acquisition availability flag “◯ (possible)” for “capacitor”, and a context acquisition availability flag “× (not)” for “electrolytic capacitor”. Is memorized.

The ontology search rule information generation unit 37 generates ontology search rule information for each ontology node information based on the context acquisition availability information stored in the context acquisition availability information storage unit 36. Then, the ontology search rule information generation unit 37 stores the generated ontology search rule information in the ontology search rule information storage unit 22.

For example, the ontology search rule information generation unit 37 permits the search in the “parent → child” direction for the corresponding ontology node information with respect to the ontology node information in which the context acquisition permission information indicates “× (not)”. Ontology search rule information to be generated may be generated. In addition, the ontology search rule information generation unit 37 permits ontology search rule information that permits a search in the “child → parent” direction for each ontology node information, regardless of whether the context acquisition availability information indicates availability. May be generated.

The operation of the context processing device 3 configured as described above will be described with reference to the drawings. Note that the operation of expanding the context information by the context processing device 3 is the same as that of the context processing device 2 as the second embodiment of the present invention, and thus detailed description thereof will be omitted. Here, an operation in which the context processing device 3 generates ontology search rule information will be described with reference to FIGS.

In FIG. 10, first, the ontology search rule information generation unit 37 acquires ontology node information that is a child node of the “root node” among the ontology information in the ontology information storage unit 21 (step S31). For example, in the example of the ontology information storage unit 21 illustrated in FIG. 5, the ontology search rule information generation unit 37 acquires the Y node of ontology information including “root” in the “X node” as a child node of the route. Good.

Next, the ontology search rule information generation unit 37 executes an ontology search rule information generation process for each of the ontology node information that is a child node of the route (step S32).

Details of the ontology search rule information generation process are shown in FIG.

Here, first, the ontology search rule information generation unit 37 acquires ontology node information that is a child node of the ontology node information (step S41). For example, in the example of the ontology information storage unit 21 illustrated in FIG. 5, the ontology search rule information generation unit 37 has “relationship information” as “parent and child” and includes “ontology node information” in the “X node”. What is necessary is just to acquire Y node of ontology information.

When a child node is acquired in step S41 (Yes in step S42), the ontology search rule information generation unit 37 executes the following steps S43 to S47 for each ontology node information that is a child node.

First, the ontology search rule information generation unit 37 acquires the context acquisition availability flag of the target ontology node information from the context acquisition availability information storage unit 36 (step S43).

Next, the ontology search rule information generation unit 37 determines whether the acquired context acquisition permission flag is “O” (Yes) or “No” (Step S44).

Here, when the context acquisition permission information indicates ○ (possible), the operation of the context processing device 3 proceeds to step S46.

On the other hand, when the context acquisition availability information indicates x (no), the ontology search rule information generation unit 37 permits the search for the target ontology node information following the relationship in the direction of “parent → child”. Ontology search rule information to be generated is generated and stored in the ontology search rule information storage unit 22 (step S45).

Next, the ontology search rule information generation unit 37 generates ontology search rule information that permits a search by following the relationship in the direction of “child → parent” with respect to the target ontology node information, and the ontology search rule The information is stored in the information storage unit 22 (step S46). This step is executed regardless of the determination result of step S44.

Next, the ontology search rule information generation unit 37 recursively executes the ontology search rule information generation processing from step S41 on the target ontology node information (step S47).

On the other hand, when no child node is searched in step S41 (No in step S42), the context processing device 3 ends the ontology search rule information generation process.

By operating as described above, the ontology search rule information generation unit 37 generates ontology search rule information that permits searching by following the relationship in the “child → parent” direction for all ontology node information. To do. Further, the ontology search rule information generation unit 37 permits an ontology that permits a search following the relationship in the “parent → child” direction with respect to ontology node information whose context acquisition permission / prohibition flag information indicates “× (not)”. Search rule information is generated.

Next, the effect of the third embodiment of the present invention will be described.

The context processing apparatus according to the third embodiment of the present invention has no relevance while expanding the context information collected from the inference processing target to more context information having high relevance to the inference target. Alternatively, ontology search rule information for avoiding expansion to low context information can be generated with high accuracy.

The reason is that the ontology search rule information generation unit generates ontology search rule information based on the context acquisition availability information. Here, the context acquisition availability information storage unit stores context acquisition availability information indicating whether each ontology node information can be acquired as context information by the context collection device.
For example, the ontology search rule information generation unit, for ontology node information indicating that the context acquisition availability information is not permitted, permits an ontology that allows searching in both directions of “parent → child” and “child → parent”. Search rule information is generated. On the other hand, the ontology search rule information generation unit generates ontology search rule information that permits a search following the direction of “child → parent” for the ontology node information indicating that the context acquisition possibility information is permitted.

For example, ontology node information indicating that context acquisition permission / non-permission information is possible is almost certainly extracted as context information by the context collection device if included in the inference processing target information. Therefore, if such context information is not input to the context processing apparatus of the present embodiment, it is considered that the context information is not included in the target information almost certainly. That is, such context information is considered to have no or low relevance to the inference target. Therefore, in order to prevent the input context information from being expanded to the context information indicating that such context acquisition availability information is permitted, the ontology search rule information generation unit in the present embodiment has the context information as a child. Does not generate ontology search rule information that permits searching in the direction.

Further, ontology node information indicating whether or not context acquisition availability information is included is not necessarily extracted by the context collection device even if it is originally included in the target information. Even if such context information is not input to the context processing apparatus of the present embodiment, there is a possibility that the target information includes the context information. That is, such context information is considered highly relevant to the inference target. Therefore, in order to extend the input context information to context information indicating that such context acquisition permission information is not, the ontology search rule information generation unit in the present embodiment searches in a direction in which the context information becomes a child. Ontology search rule information that permits

Note that, even if the context acquisition availability information of the context information that has not been input to the context processing apparatus according to the present embodiment because it was not collected by the context collection apparatus indicates whether or not it is possible, such a process is performed during the search process. When ontology node information corresponding to such context information is acquired as a search destination, such ontology node information is considered to be a superordinate concept of search-source ontology node information that has already been searched. Therefore, the ontology node information of such a search destination can be regarded as highly relevant to the inference target. Therefore, the ontology search rule information generation unit in the present embodiment generates ontology search rule information that permits a search from the child to the parent for all the ontology node information.

As described above, the context processing apparatus according to the present embodiment generates ontology search rule information with high accuracy using the context acquisition availability information. As a result, the context processing apparatus according to the present embodiment does not need to set ontology search rule information in advance, and can achieve the same effects as those of the second embodiment of the present invention.

(Fourth embodiment)
Next, a fourth embodiment of the present invention will be described in detail with reference to the drawings. Note that in each drawing referred to in the description of the present embodiment, the same reference numerals are given to the same configuration and steps that operate in the same manner as in the third embodiment of the present invention, and the detailed description in the present embodiment. Description is omitted.

First, FIG. 12 shows a functional block configuration of the context processing device 4 as the fourth embodiment of the present invention. In FIG. 12, the context processing device 4 is different from the ontology search rule information storage unit 22 in the context processing device 3 according to the third embodiment of the present invention. Context acquisition unit 43 instead of unit 13, ontology information search unit 44 instead of ontology information search unit 24, context acquisition availability information storage unit 46 instead of context acquisition availability information storage unit 36, and ontology search rule information generation The difference is that an ontology search rule information generation unit 47 is provided instead of the unit 37.

The context acquisition unit 43 acquires the context collection device ID for identifying the context collection device that outputs the context information together with the context information.

As shown in FIG. 13, the context acquisition availability information storage unit 46 stores the context acquisition availability information including a context collection device ID for identifying the context collection device. Hereinafter, a device whose context collection device ID is X is also referred to as a context collection device X. In FIG. 13, for example, the context collection device A can acquire the context information “memory”, “volatile memory”, and “SRAM” from the inference target. Further, for example, the context collection device B can acquire the context information “memory” from the same inference object, but cannot acquire the context information “volatile memory” and “SRAM”.

The ontology search rule information generation unit 47 is different from the ontology search rule information generation unit 37 in the third embodiment of the present invention in that it generates ontology search rule information for each context collection device ID. Specifically, the ontology search rule information generation unit 47 generates ontology search rule information based on the context acquisition availability information, and uses the generated ontology search rule information as the context collection device ID included in the context acquisition availability information. Correspondingly, the ontology search rule information storage unit 42 stores them.

The ontology search rule information storage unit 42 stores the ontology search rule information in association with the context collection device ID.

The ontology information search unit 44 is based on the ontology search rule information associated with the context collection device ID acquired by the context acquisition unit 43, and the ontology information search unit 24 in the second and third embodiments of the present invention. The same search process is executed.

The operation of the context processing device 4 configured as described above will be described with reference to the drawings.

First, the operation in which the context processing device 4 generates ontology search rule information will be described. The context processing device 4 operates in substantially the same manner as the context processing device 3 according to the third embodiment of the present invention described with reference to FIG. 10, but the details of the ontology search rule information generation processing in step S32 are different. . FIG. 14 shows details of the ontology search rule information generation process in the present embodiment. In FIG. 14, the context processing device 4 replaces steps S43 to S46 with respect to details of the ontology search rule information generation processing in the third embodiment of the present invention described with reference to FIG. ~ S57 is executed differently.

In step S53, the ontology search rule information generation unit 47 acquires context acquisition availability information regarding the corresponding ontology node information (step S53). At this time, the context acquisition possibility information storage unit 46 may store a plurality of pieces of context acquisition possibility information having different context collection device IDs for the corresponding ontology node information. Accordingly, in this step, the ontology search rule information generation unit 47 acquires one or more context acquisition availability information.

Next, the ontology search rule information generation unit 47 executes steps S54 to S57 for each context acquisition availability information acquired in step S53.

Here, first, the ontology search rule information generation unit 47 acquires a context acquisition permission flag and a context collection device ID included in the context acquisition permission information (step S54).

Next, the ontology search rule information generation unit 47 permits ontology search rule information that permits a search in the “parent → child” direction for the ontology node information whose context acquisition permission flag is “x” (no) (No in step S55). Is generated. Then, the ontology search rule information generation unit 47 stores the generated ontology search rule information in the ontology search rule information storage unit 42 in association with the context collection device ID (step S56).

Also, the ontology search rule information generation unit 47 generates ontology search rule information that permits a search in the “child → parent” direction for this ontology node information, regardless of whether or not the context acquisition flag is set. Then, the ontology search rule information generation unit 47 stores the generated ontology search rule information in the ontology search rule information storage unit 42 in association with the context collection device ID (step S57).

Thereafter, the ontology search rule information generation unit 47 recursively performs the ontology search rule information generation process for the corresponding ontology node information in the same manner as the ontology search rule information generation unit 37 in the third embodiment of the present invention. Execute.

This is the end of the description of the operation in which the context processing device 4 generates ontology search rule information.

Next, the operation of the context processing device 4 extending the context information will be described. The context processing device 4 operates in substantially the same manner as the context processing device 2 as the second embodiment of the present invention described with reference to FIGS. 2 and 7, but the details of the processing in steps S1 and S25 are different. .

In step S1, the context acquisition unit 43 acquires the context collection device ID that collected the context information together with the context information.

In step S25, the ontology information search unit 44 obtains in step S1 out of the ontology search rule information that permits the search in the direction of the search route information extracted in step S24 for the ontology node information of the search destination. It is determined whether or not there is one associated with the context collection device ID that has been assigned.

Thereafter, the context processing device 4 proceeds with the search processing according to the ontology search rule information associated with the corresponding context collection device ID as in the second embodiment of the present invention, and expands the searched ontology node information. Include in context list.

This is the end of the description of the operation in which the context processing device 4 expands the context information.

Next, the effect of the fourth embodiment of the present invention will be described.

The context processing device as the fourth exemplary embodiment of the present invention is more highly accurate and highly related to the context information collected by the context collection device according to the difference in the context information that can be acquired by the context collection device. It can be extended to context information and not extended to unrelated or low context.

The reason is that the ontology information search unit expands the context information according to the ontology search rule information associated with the context collection device ID that collected the context information acquired by the context acquisition unit. Here, the context acquisition availability information storage unit stores, along with the context collection device ID, a context acquisition availability flag that indicates whether the context collection device can acquire context information. Further, the ontology search rule information generation unit generates ontology search rule information in association with the context collection device ID. This is because the context processing device according to the present embodiment generates ontology search rule information with higher accuracy corresponding to context acquisition availability information that differs depending on the context collection device.

(Fifth embodiment)
Next, a fifth embodiment of the present invention will be described in detail with reference to the drawings. Note that in each drawing referred to in the description of the present embodiment, the same reference numerals are given to the same configuration and steps that operate in the same manner as in the third embodiment of the present invention, and the detailed description in the present embodiment. Description is omitted.

First, FIG. 15 shows a functional block configuration of a context processing device 5 as a fifth embodiment of the present invention. In FIG. 15, the context processing device 5 is different from the ontology search rule information storage unit 22 in terms of the ontology search rule information storage unit 52 and the ontology information with respect to the context processing device 3 according to the third embodiment of the present invention. An ontology information search unit 54 instead of the search unit 24, a context acquisition availability information storage unit 56 instead of the context acquisition availability information storage unit 36, and an ontology search rule information generation unit 57 instead of the ontology search rule information generation unit 37. Is different.

The context acquisition availability information storage unit 56 stores the context acquisition possibility information in the same context acquisition availability information as in the third embodiment of the present invention. Here, the context obtainable probability represents the probability that context information that is inherently highly relevant to the inference target is obtained by the context collection device. For example, the context acquisition probability may be a probability that context information representing a part originally included in the device indicated by the design drawing data to be inferred is acquired from the design drawing data by the context collection device. An example of information stored in the context acquisition availability information storage unit 56 is shown in FIG. In FIG. 16, for example, the context acquisition availability information on the third line has a probability of 0.6 (60%) that the context collection device acquires context information “SRAM” from the design drawing data of the device including “SRAM”. ). The context acquisition availability information on the eighth line has a probability of acquiring context information “special DRAM” by the context collection device from the design drawing data of the device including “special DRAM” (that is, it must be acquired). Is not).

The ontology search rule information storage unit 52 stores the ontology search rule information similar to that of the third embodiment of the present invention, further including information indicating the search priority. Here, the search priority represents the priority of the search route that is followed when the ontology information search unit 54 searches for ontology information. An example of information stored in the ontology search rule information storage unit 52 is shown in FIG. In FIG. 17, for example, the ontology search rule information on the fourth line indicates that the priority of the search route in the “parent → child” direction to the ontology node information “SRAM” is 0.4. In this example, the search priority is represented by a value between 0 and 1. In this case, the ontology search rule information having a search priority of 1 represents a rule that the route to the search destination is always followed when the corresponding ontology node information is in the search destination. The ontology search rule information with a search priority of 0 represents a rule that does not follow the route to the search destination even when the corresponding ontology node information exists at the search destination.

The ontology search rule information generation unit 57 is configured in substantially the same manner as the ontology search rule information generation unit 37 in the third embodiment of the present invention, and further, the search priority of the generated ontology search rule information Is calculated. At this time, the ontology search rule information generation unit 57 calculates the search priority of the search route to the ontology node information based on the context acquisition probability regarding the ontology node information. For example, the ontology search rule information generation unit 57 may calculate the search priority using the following equation (2).

b2 = (1-a1) × b1 Formula (2)
Here, b2 is the search priority of the search route in the “parent → child” direction to the ontology node information. Further, a1 is the context acquisition probability of the ontology node information. Also, b1 is the search priority of the search route in the “parent → child” direction with respect to the parent ontology node information of the ontology node information. However, when there is no ontology search rule information that permits a search in the “parent → child” direction with respect to the parent ontology node information, 1 is applied to b1.

Thereby, the search priority of the search route in the “parent → child” direction to a certain ontology node information increases as the context acquisition probability of the ontology node information decreases. Further, the priority of the search route in the “parent → child” direction to certain ontology node information increases as the priority of the search route in the “parent → child” direction with respect to the parent of the ontology node information increases.

The ontology search rule information generation unit 57 sets the search priority to 1 for the search priority of the search route in the “child → parent” direction to the ontology node information regardless of the equation (2).

The ontology information search unit 54 is different from the ontology information search unit 24 according to the third embodiment of the present invention in that it refers to the search priority of the ontology search rule information when performing search processing. For example, the ontology information search unit 54 sets the search priority of the search route to the ontology node information according to the ontology search rule information among the ontology node information of the search destination having a relationship with the ontology node information of the search source. You may search the thing set above.

The operation of the context processing device 5 configured as described above will be described with reference to the drawings. First, an operation in which the context processing device 5 generates ontology search rule information will be described. The context processing device 5 operates in substantially the same manner as the context processing device 3 according to the third embodiment of the present invention described with reference to FIG. 10, but the details of the ontology search rule information generation processing in step S32 are different. . FIG. 18 shows details of the ontology search rule information generation process in the present embodiment. In FIG. 18, the context processing device 5 performs steps S63 to S63 instead of steps S43 to S46 with respect to the details of the ontology search rule information generation processing in the third embodiment of the present invention described with reference to FIG. The difference is that S67 is executed.

In step S63, the ontology search rule information generation unit 57 acquires the context acquisition possibility flag regarding the corresponding ontology node information together with the context acquisition probability.

Here, when the context acquisition availability information indicates x (No) (No in step S64), the ontology search rule information generation unit 57 indicates the relationship of the direction of “parent → child” with respect to the ontology node information. The search priority of the searched search route is calculated based on the context acquisition probability (step S65). For example, as described above, the ontology search rule information generation unit 57 may calculate the search priority using Expression (2).

Next, the ontology search rule information generation unit 57 sets the search priority of the search route that follows the relationship of the “parent → child” direction to the ontology node information to the value calculated in step S65. Ontology search rule information is generated. Then, the ontology search rule information generation unit 57 stores the generated ontology search rule information in the ontology search rule information storage unit 52 (step S66).

Next, the ontology search rule information generation unit 57 generates ontology search rule information in which the search priority of the search route that follows the relationship of the “child → parent” direction to this ontology node information is 1. Then, the ontology search rule information generation unit 57 stores the generated ontology search rule information in the ontology search rule information storage unit 52 (step S67). This step is executed regardless of the determination result of step S64.

Thereafter, the ontology search rule information generation unit 57 recursively performs the ontology search rule information generation process for the corresponding ontology node information in the same manner as the ontology search rule information generation unit 37 in the third embodiment of the present invention. Execute.

This is the end of the description of the operation in which the context processing device 5 generates ontology search rule information.

Next, a specific example of the operation for generating such ontology search rule information will be described. Here, it is assumed that the information shown in FIG. 5 is stored in the ontology information storage unit 21 and the information shown in FIG. 16 is stored in the context acquisition availability information storage unit 56.

First, the ontology search rule information generation unit 57 acquires ontology node information “memory” that is a child of the root node from the sixth line of the ontology information storage unit 21 in FIG. 5 (step S31).

Next, the ontology search rule information generation unit 57 executes an ontology search rule information generation process for the ontology node information “memory” (step S32).

Here, the ontology search rule information generation unit 57 acquires ontology node information “volatile memory” that is a child of “memory” from the first row of the ontology information storage unit 21 of FIG. 5 (in steps S41 and S42). Yes).

Next, the ontology search rule information generation unit 57 sets “O (Yes)” as the context acquisition availability flag of “volatile memory” and 1 as the context acquisition probability from the context acquisition availability information storage unit 56 of FIG. Is acquired (step S63).

Therefore, the ontology search rule information generation unit 57 generates ontology search rule information “volatile memory, child → parent, search priority 1” and stores it in the ontology search rule information storage unit 52 (Yes in step S64). S67). This corresponds to the ontology search rule information on the first line in the ontology search rule information storage unit 52 of FIG.

Next, the ontology search rule information generation unit 57 further executes an ontology search rule information generation process for “volatile memory” (step S47).

Here, the ontology search rule information generation unit 57 obtains ontology node information “DRAM” and “SRAM”, which are children of “volatile memory”, from the second and third lines of the ontology information storage unit 21 in FIG. Obtain (Yes in steps S41 and S42).

<Processing related to DRAM>
Next, the ontology search rule information generation unit 57 obtains “◯ (possible)” as the context acquisition availability attribute of “DRAM” and 1 as the context acquisition probability from the context acquisition availability information storage unit 56 of FIG. (Step S63).

Therefore, the ontology search rule information generation unit 57 generates ontology search rule information “DRAM, child → parent, search priority 1” and stores it in the ontology search rule information storage unit 52 (Yes in step S64, S67). . This corresponds to the ontology search rule information on the second line in the ontology search rule information storage unit 52 of FIG.

Thereafter, the ontology search rule information generation unit 57 sequentially generates the ontology search rule information related to the descendant nodes by recursively executing the ontology search rule information generation process for “DRAM”.

<Processing related to SRAM>
Next, the ontology search rule information generation unit 57 sets “× (No)” as the context acquisition availability flag of “SRAM” and “0.6 as the context acquisition probability from the context acquisition availability information storage unit 56 of FIG. "Is acquired (step S63).

Then, the ontology search rule information generation unit 57 calculates the search priority “0.4” using Expression (2) (No in step S64, S65).

More specifically, the ontology search rule information generation unit 57 applies 0.6, which is a context acquisition probability of “SRAM”, as a1 in Equation (2). Further, the ontology search rule information generation unit 57 sets 1 as b1 in the expression (2) because there is no search rule information for “parent → child” to “volatile memory” that is the parent of “SRAM”. Apply. Accordingly, the ontology search rule information generation unit 57 calculates 0.4 as the search priority b2 in the “parent → child” direction for “SRAM”.

Next, the ontology search rule information generation unit 57 generates ontology search rule information “SRAM, parent → child, search priority 0.4” and stores it in the ontology search rule information storage unit 52 (step S66). This corresponds to the ontology search rule information on the fourth line in the ontology search rule information storage unit 52 of FIG.

Next, the ontology search rule information generation unit 57 generates ontology search rule information “SRAM, child → parent, search priority 1” and stores it in the ontology search rule information storage unit 52 (step S67). This corresponds to the ontology search rule information on the third line in the ontology search rule information storage unit 52 of FIG.

Thereafter, the ontology search rule information generation unit 57 recursively executes the ontology search rule information generation process for “SRAM”, thereby sequentially generating ontology search rule information regarding its descendant nodes.

Above, description of the specific example of the operation | movement which the context processing apparatus 5 produces | generates ontology search rule information is complete | finished.

Next, the operation of expanding the context information by the context processing device 5 will be described. The context processing device 5 operates in substantially the same manner as the operation of the context processing device 2 as the second embodiment of the present invention described with reference to FIGS. 2 and 7, but the details of the processing in step S25 are different. .

In step S25, the ontology information search unit 54 determines that the ontology search rule information whose search priority in the direction of the search route information extracted in step S24 is greater than or equal to a threshold with respect to the search destination ontology node information is the ontology search rule information. It is determined whether or not it is in the storage unit 52.

Thereafter, the context processing device 5 proceeds with the search processing in the same manner as in the second embodiment of the present invention in accordance with ontology search rule information having a search priority equal to or higher than the threshold, and sets the search target ontology node information as an extended context list. Include in

Above, description of operation | movement of the context processing apparatus 5 is complete | finished.

Next, the effect of the fifth embodiment of the present invention will be described.

The context processing apparatus according to the fifth embodiment of the present invention has context information that is highly relevant to the inference target when the context information collected from the inference processing target is expanded to other context information. It is possible to discriminate the context information having no or low nature from the context information with higher accuracy so that the context information is not expanded.

The reason is that, when the ontology information search unit advances the search process from the ontology node information corresponding to the input context information, it follows the search route indicated by the ontology search rule information whose search priority is equal to or higher than the threshold. Here, the ontology search rule information storage unit stores the search priority for the ontology node information included in the ontology search rule information. As a result, the context processing apparatus as the present embodiment expands the input context information to ontology node information on the search route having a higher search priority, and is on the search route having a lower search priority. The ontology node information is not expanded.

Furthermore, when the context acquisition availability information storage unit stores the context acquisition probability of ontology node information, the ontology search rule information generation unit uses the context acquisition probability to search priority for the ontology node information. To decide. As a result, when the ontology information search unit advances the search process from the ontology node information corresponding to the input context information, the ontology node information corresponding to the context information that is more difficult to be acquired by the context collection device is given priority. The search process can proceed. Therefore, in this case, the context processing apparatus according to the present embodiment uses the context collection apparatus to expand the input context information to other context information even though the context processing apparatus originally has high relevance to the inference target. This is because it is preferentially extended to context information that is more difficult to obtain.

(Sixth embodiment)
Next, a sixth embodiment of the present invention will be described in detail with reference to the drawings. In the present embodiment, an information processing system including an information processing apparatus that performs inference processing using the context processing apparatus of the present invention and a terminal will be described. Note that, in each drawing referred to in the description of the present embodiment, the same reference numerals are given to the same configuration and steps that operate in the same manner as in the first embodiment of the present invention, and the detailed description in the present embodiment. Description is omitted.

First, FIG. 19 shows the configuration of an information processing system 600 as a sixth embodiment of the present invention. In FIG. 19, the information processing system 600 includes an information processing device 60 and a terminal 90. Further, the information processing apparatus 60 and the terminal 90 are communicably connected to each other via a network constituted by the Internet, a LAN (Local Area Network), a public line network, a wireless communication network, or a combination thereof. In FIG. 19, one information processing device 60 and one terminal 90 are shown, but the number of devices included in the information processing system of the present invention is not limited.

Next, functional block configurations of the information processing apparatus 60 and the terminal 90 are shown in FIG. In FIG. 20, the information processing device 60 includes a context processing device 1 as a first embodiment of the present invention, a knowledge information storage unit 61, an inference rule storage unit 62, an inference unit 63, and an inference result presentation unit. 64. Here, in addition to the same hardware configuration as the context processing device 1 as the first embodiment of the present invention, the information processing device 60 is configured by a computer device that further includes a network interface. The knowledge information storage unit 61 and the inference rule storage unit 62 are configured by a storage device. The inference unit 63 is configured by a CPU that reads a computer program stored in a ROM or a storage device into the RAM and executes the computer program. The inference result presentation unit 64 includes a network interface and a CPU that reads a computer program stored in a ROM or a storage device into a RAM and executes the computer program. Note that the hardware configuration of each functional block constituting the information processing apparatus 60 is not limited to the above-described configuration.

In FIG. 20, the terminal 90 includes a context collection unit 91 and an information presentation unit 92. Here, the terminal 90 is configured by a computer device including a CPU, a RAM, a ROM, a storage device such as a hard disk, an input device, a display device, and a network interface. The context collection unit 91 includes an input device, a network interface, and a CPU that reads a computer program stored in the ROM or the storage device into the RAM and executes the computer program. The information presentation unit 92 includes a display device, a network interface, and a CPU that reads a computer program stored in a ROM or a storage device into the RAM and executes the computer program. Note that the hardware configuration of each functional block constituting the terminal 90 is not limited to the above-described configuration.

Next, each functional block of the information processing apparatus 60 will be described.

The knowledge information storage unit 61 stores one or more pieces of knowledge information. This knowledge information represents knowledge in the target field. The knowledge information storage unit 61 stores such knowledge information together with a knowledge ID for identifying knowledge information. An example of information stored in the knowledge information storage unit 61 is shown in FIG. In FIG. 21, the knowledge information indicated by each row includes a knowledge ID and knowledge content. In the example of FIG. 21, the knowledge content is represented by a URL (UniformUniResource Locator) indicating a location where information representing the knowledge content is stored. The knowledge content may be information itself representing the knowledge content. Further, the knowledge information may include a knowledge title as shown in FIG. In addition, the knowledge information may include a registrant's user ID, registration date and time, or access right information.

The inference rule storage unit 62 stores one or more inference rules. Such an inference rule represents an event that occurs according to the content of the context information. The inference rule may be, for example, an IF-THEN type rule including a condition (IF information) and an event (THEN information) that occurs when the condition is satisfied. Such inference rules are related to knowledge information stored in the knowledge information storage unit 61. For example, the inference rule may include a knowledge ID as THEN information. The inference rule storage unit 62 stores such an inference rule together with an inference rule ID for identifying the inference rule.

An example of information stored in the inference rule storage unit 62 is shown in FIG. In FIG. 22, the inference rule indicated by each line includes an inference rule ID, IF information, and THEN information. In addition, the inference rule may include the registration date and the user ID of the registrant. The inference rule may include a plurality of IF information. An inference rule including a plurality of IF information may mean that THEN information is inferred when all IF information is satisfied.

The inference unit 63 obtains an inference result by applying the inference rules stored in the inference rule storage unit 62 to each context information included in the extended context list output from the context processing device 1. For example, the inference unit 63 searches for inference rules having IF information that matches the context information. Then, the inference unit 63 estimates that THEN information included in the retrieved inference rule occurs. In addition, when the THEN information of the applied inference rule satisfies the IF information of another inference rule, the inference unit 63 may repeat a chain inference process that further applies another inference rule. Further, if there are a plurality of inference rules applicable to the acquired context information or the THEN information of the applied inference rule, the inference unit 63 may execute a plurality of inference processes based on the respective inference rules. And the inference part 63 makes the knowledge information relevant to each applied inference rule the inference result. In this case, the inference unit 63 may use the knowledge ID indicated by the THEN information of each applied inference rule as the inference result.

The inference result presentation unit 64 presents the inference result obtained by the inference unit 63. Specifically, the inference result presentation unit 64 transmits the inference result to the terminal 90 via the network.

Next, each functional block of the terminal 90 will be described.

The context collection unit 91 collects context information from the inference target and transmits it to the information processing apparatus 60. For example, the context collection unit 91 may collect context information from design document data stored in its own device.

The information presentation unit 92 displays the inference result received from the information processing device 60 on the display device.

The inference operation of the information processing system 600 configured as described above will be described with reference to FIG. In FIG. 23, the left diagram represents the operation of the terminal 90, the right diagram represents the operation of the information processing apparatus 60, and the dashed arrows connecting the left and right represent the data flow.

First, the context collection unit 91 of the terminal 90 collects context information from the inference target and transmits it to the information processing apparatus 60 (step S81). For example, as described above, the context collection unit 91 may collect context information from design document data stored in its own device.

Next, the context acquisition unit 13 of the information processing device 60 receives context information (step S82).

Next, the ontology information search unit 14 executes context extension processing on ontology information including ontology node information corresponding to the context information acquired in step S82 (step S83). The details of this context extension processing are the same as the context extension processing in the first embodiment of the present invention described with reference to FIG.

Next, the inference unit 63 applies the inference rule stored in the inference rule storage unit 62 to each context information included in the extended context list generated in step S83. Then, the inference unit 63 obtains knowledge information as an inference result (step S84).

At this time, as described above, the inference unit 63 may execute a chain inference process that further applies an inference rule applicable to information guided by the applied inference rule. In this case, the inference unit 63 may acquire knowledge information related to each inference rule applied until there is no applicable inference rule as an inference result. At this time, the inference unit 63 may acquire related knowledge information based on the knowledge ID included in the inference rule.

Next, the inference result presentation unit 64 transmits the knowledge information as the inference result acquired in step S84 to the terminal 90 (step S85). At this time, the inference result presentation unit 64 may further acquire information indicating the importance of the knowledge information acquired in step S84, and transmit the inference result together with the acquired importance.

Next, the information presentation unit 92 of the terminal 90 receives the knowledge information as the inference result and displays it on the display device (step S86). At this time, the information presentation unit 92 may display the knowledge information in an order based on the importance.

Thus, the information processing system 600 ends the operation.

Next, effects of the sixth embodiment of the present invention will be described.

The information processing system as the sixth exemplary embodiment of the present invention presents more knowledge information that is highly relevant to the inference processing target, but more knowledge information that is not or less relevant to the inference target. It can be avoided.

That is, the information processing apparatus as the sixth exemplary embodiment of the present invention does not decrease the precision while increasing the recall in the inference process. Here, the recall rate is a value calculated by “the number of inference results that should be presented” / “the total number of inference results that should be presented”. The relevance ratio is a value calculated by “the number of inference results to be originally presented” / “total number of inference results presented”.

The reason is that the ontology node information searched by the context processing device by following the search route permitted by the ontology search rule information when expanding the context information acquired from the terminal by following the relationship between the ontology node information. It is because it extends to. Thereby, the information processing apparatus according to the present embodiment has no or low relevance while expanding the context information collected from the inference processing target to other context information having a high relevance to the inference target. Reduce extension to context information. Therefore, the information processing apparatus as the present embodiment can perform inference based on context information that is highly relevant to the inference object. Thereby, the information processing apparatus as the present embodiment can present more knowledge information that is originally highly relevant to the inference target, and can increase the recall rate. In addition, the information processing apparatus according to the present embodiment reduces inferences based on context information that has no or low relevance to the inference target. Thereby, the information processing apparatus as the present embodiment does not reduce the relevance rate by not presenting knowledge information that is not related to or low in the inference object. As a result, a user who uses the terminal can browse more useful knowledge information without browsing unnecessary knowledge information that is not relevant to the inference target or low.

In the present embodiment, the information processing device 60 replaces the context processing device 1 as the first embodiment of the present invention with the context processing device as the second to fifth embodiments of the present invention. Either of these may be provided. In this case, the context collection unit 91 of the terminal 90 in the present embodiment corresponds to the context collection device in the third to fifth embodiments of the present invention.

Further, in each of the embodiments of the present invention described above, description has been made mainly on examples in which ontology information is represented by a hierarchical structure, but ontology information is represented by a network structure or a causal relationship structure. May be. Here, the network structure is a structure having a non-directional relationship between nodes and not having a hierarchy. In this case, the ontology information storage unit may store ontology information including the two ontology node information for the two ontology node information having a relationship. The causal relationship structure is a structure having a directional relationship “causal” between nodes and not having a hierarchical property. In this case, the ontology information storage unit may store ontology information including the ontology node information that is the source of the relationship “causal” and the previous ontology node information.

Further, in each of the embodiments of the present invention described above, the example in which the context information is character information has been mainly described. However, the context information may be any kind of information that can be collected from the inference target. Information other than characters, such as information, may be used. Further, in each of the embodiments of the present invention described above, description has been made mainly on an example in which ontology node information is character information. However, ontology node information is information of a type other than characters, such as image information and numerical information. Also good. The ontology node information may be information further including class information and attribute information in addition to information representing the concept of the target field. In this case, the ontology information search unit may determine the ontology node information corresponding to the input context information based on class information, attribute information, and the like.

In each embodiment of the present invention described above, the operation of the context processing device described with reference to each flowchart is stored in a storage device (storage medium) of the computer device as a computer program of the present invention. Such a computer program may be read and executed by the CPU. In such a case, the present invention is constituted by the code of the computer program or a storage medium.

Also, the above-described embodiments can be implemented in appropriate combination.

The present invention is not limited to the above-described embodiments, and can be implemented in various modes.
Although the present invention has been described with reference to the exemplary embodiments and examples, the present invention is not limited to the above exemplary embodiments and examples. Various changes that can be understood by those skilled in the art within the scope of the present invention can be made to the configuration and details of the present invention.
This application claims priority based on Japanese Patent Application No. 2012-067280 filed on Mar. 23, 2012, the entire disclosure of which is incorporated herein.

A part or all of each of the above-described embodiments can be described as in the following supplementary notes, but is not limited thereto.
(Appendix 1)
Ontology information storage unit for storing ontology information including ontology node information representing each concept in a target field and relationship information representing a relationship between the ontology node information; and
An ontology search rule information storage unit that stores ontology search rule information indicating that a search for the ontology node information is permitted in a search process that traces the relationship between the ontology node information;
A context acquisition unit for acquiring context information;
By referring to the ontology information including the ontology node information corresponding to the context information, a search is permitted by the ontology search rule information among other ontology node information having a relationship with the ontology node information. A search process for searching for the ontology node information that has been performed, and for the searched ontology node information, the search process is sequentially executed and searched by referring to the ontology information storage unit and the ontology search rule information storage unit An ontology information search unit for adding each ontology node information to the extended context list;
An extended context list output unit for outputting the extended context list;
A context processing device.
(Appendix 2)
In an external context collection device that collects the context information and outputs the context information to the context acquisition unit, a context storing context acquisition availability information indicating whether each ontology node information can be acquired as the context information An availability information storage unit;
For each ontology node information, an ontology search rule information generation unit that generates the ontology search rule information based on the context acquisition availability information and stores the generated ontology search rule information in the ontology search rule information storage unit;
The context processing apparatus according to appendix 1, further comprising:
(Appendix 3)
The ontology information storage unit stores the ontology information including information indicating the type of the relationship,
The ontology search rule information storage unit stores in the ontology search rule information including information indicating a type of relationship permitted to be followed when a search for the ontology node information is performed,
In the ontology information search unit, as the search process, among other ontology node information having a relationship with the corresponding ontology node information, a search that traces the type of the relationship by the ontology search rule information is permitted. The context processing device according to Supplementary Note 1 or Supplementary Note 2, wherein the ontology node information is searched.
(Appendix 4)
The ontology information storage unit stores the ontology information including information indicating the direction of the relationship,
The ontology search rule information storage unit stores in the ontology search rule information including information indicating a direction of a relationship permitted to be followed when a search for the ontology node information is performed,
The ontology information search unit is permitted to search in the direction of the relationship by the ontology search rule information among other ontology node information having a relationship with the corresponding ontology node information as the search process. The context processing device according to any one of supplementary note 1 to supplementary note 3, wherein the ontology node information is searched.
(Appendix 5)
The ontology information storage unit stores the ontology information including information indicating a parent-child relationship as the direction of the relationship,
The ontology search rule information generator generates an ontology search rule that permits a search from a child whose parent is the ontology node information, regardless of whether the context acquisition availability information indicates whether or not each of the ontology node information. Supplementary note 4 is characterized in that, for the ontology node information indicating that the context acquisition permission information is not valid, ontology search rule information that permits a search from a parent whose child is the ontology node information is generated. The context processing device described.
(Appendix 6)
The ontology search rule information storage unit stores information including search priority information in the ontology search rule information,
The context processing device according to any one of appendix 1 to appendix 5, wherein the ontology information search unit performs the search process by applying the ontology search rule based on the search priority.
(Appendix 7)
The context acquisition availability information storage unit stores the context acquisition possibility information including a context acquisition possibility probability that represents the probability that each ontology node information can be acquired by the context collection device as the context information,
The context processing apparatus according to appendix 6, wherein the ontology search rule information generation unit calculates the search priority based on the context acquisition probability.
(Appendix 8)
The ontology search rule information storage unit stores the ontology search rule information in association with information for identifying the context collection device,
The context acquisition unit further acquires information for identifying the context collection device,
The ontology information search unit performs the search process using the ontology search rule information associated with information for identifying the context collection device acquired by the context acquisition unit. The context processing device according to any one of 7.
(Appendix 9)
The context acquisition availability information storage unit stores the context acquisition availability information in association with information for identifying the context collection device,
9. The context processing device according to appendix 8, wherein the ontology search rule information generation unit generates the ontology search rule information for each piece of information that identifies the context collection device.
(Appendix 10)
The context processing device according to any one of appendix 1 to appendix 9,
A knowledge information storage unit for storing knowledge information;
An inference rule storage unit that stores inference rules related to the knowledge information;
An inference unit that obtains the knowledge information related to the applied inference rule as an inference result by applying the inference rule to each context information included in the extended context list output from the context processing device;
An inference result presentation unit for presenting the inference result;
An information processing apparatus comprising:
(Appendix 11)
The information processing apparatus according to appendix 10,
Collecting and transmitting the context information to the information processing device, and receiving and presenting the inference result from the information processing device;
Information processing system with
(Appendix 12)
Storing ontology information including ontology node information representing each concept in the target field and relationship information representing a relationship between the ontology node information;
In the search process that traces the relationship between the ontology node information, the ontology search rule information that represents permitting a search for the ontology node information is stored,
When you get the context information
By referring to the ontology information including the ontology node information corresponding to the context information, a search is permitted by the ontology search rule information among other ontology node information having a relationship with the ontology node information. A search process for searching the acquired ontology node information, and for the searched ontology node information, the search process is sequentially executed by referring to the ontology information and the ontology search rule information, and each searched ontology node information To the extended context list,
A context processing method for outputting the extended context list.
(Appendix 13)
An ontology information storage unit that stores ontology information including ontology node information that represents each concept in the target field and relationship information that represents a relationship between the ontology node information, and a search that traces the relationship between the ontology node information In the processing, using an ontology search rule information storage unit that stores ontology search rule information indicating that the search for the ontology node information is permitted,
A context information acquisition step for acquiring context information;
By referring to the ontology information including the ontology node information corresponding to the context information, a search is permitted by the ontology search rule information among other ontology node information having a relationship with the ontology node information. A search process for searching for the ontology node information that has been performed, and for the searched ontology node information, the search process is sequentially executed and searched by referring to the ontology information storage unit and the ontology search rule information storage unit An ontology information search step of adding each ontology node information to the extended context list;
An extended context list output step for outputting the extended context list;
Is a computer program that causes a computer device to execute.

1, 2, 3, 4, 5

Context processing device

11, 21 Ontology

information storage unit

12, 22, 42, 52 Ontology search rule

information storage unit

13, 43

Context acquisition unit

14, 24, 44, 54 Ontology information search unit 15 Extended context

list output unit

36, 46, 56 Context acquisition availability

information storage unit

37, 47, 57 Ontology search rule information generation unit 600 Information processing system 60 Information processing device 61 Knowledge information storage unit 62 Inference rule storage unit 63 Inference unit 64 Inference Result presentation unit 90 Terminal 91 Context collection unit 92 Information presentation unit

Claims

Ontology information storage means for storing ontology information including ontology node information representing each concept in a target field and relationship information representing a relationship between the ontology node information;
Ontology search rule information storage means for storing ontology search rule information indicating that a search for the ontology node information is permitted in a search process for tracing the relationship between the ontology node information;
A context acquisition means for acquiring context information;
By referring to the ontology information including the ontology node information corresponding to the context information, a search is permitted by the ontology search rule information among other ontology node information having a relationship with the ontology node information. A search process for searching the acquired ontology node information, and for the searched ontology node information, the search process is sequentially executed by referring to the ontology information storage unit and the ontology search rule information storage unit, and the context Ontology information search means for adding each searched ontology node information to the extended context list including information;
Extended context list output means for outputting the extended context list;
A context processing device.
In an external context collection device that collects the context information and outputs the context information to the context acquisition unit, a context that stores context acquisition availability information indicating whether each ontology node information can be acquired as the context information Acquisition availability information storage means;
For each ontology node information, ontology search rule information generating means for generating the ontology search rule information based on the context acquisition availability information and storing the generated ontology search rule information in the ontology search rule information storage means;
The context processing apparatus according to claim 1, further comprising:
The ontology information storage means stores the ontology information including information indicating the type of relationship,
The ontology search rule information storage means stores the ontology search rule information including information indicating a type of relationship permitted to be followed when a search for the ontology node information is performed,
In the ontology information search means, as the search process, among other ontology node information having a relationship with the corresponding ontology node information, a search that traces the type of the relationship by the ontology search rule information is permitted. The context processing apparatus according to claim 1, wherein the ontology node information is searched.
The ontology information storage means stores the ontology information including information indicating the direction of the relationship,
The ontology search rule information storage means stores the ontology search rule information including information indicating a direction of a relationship permitted to be followed when a search for the ontology node information is performed,
The ontology information search means is permitted to search in the direction of the relationship by the ontology search rule information among other ontology node information having a relationship with the corresponding ontology node information as the search process. 4. The context processing apparatus according to claim 1, wherein the ontology node information is searched.
The ontology information storage means stores the ontology information including information representing a parent-child relationship as the direction of the relationship,
The ontology search rule information generation means allows an ontology search rule that permits a search from a child having the ontology node information as a parent, regardless of whether the context acquisition enable / disable information indicates whether or not each of the ontology node information. 5. Ontology search rule information that permits a search from a parent having the ontology node information as a child is generated for the ontology node information indicating that the context acquisition availability information is not valid. The context processing device according to 1.
The ontology search rule information storage means stores the ontology search rule information including information indicating search priority,
The context processing according to any one of claims 1 to 5, wherein the ontology information search means performs the search processing by applying the ontology search rule based on the search priority. apparatus.
The context acquisition availability information storage means stores the context acquisition availability information including a context acquisition probability that represents the probability that each ontology node information can be acquired by the context collection device as the context information,
The context processing apparatus according to claim 6, wherein the ontology search rule information generation unit calculates the search priority based on the context acquisition probability.
A context processing device according to any one of claims 1 to 7,
Knowledge information storage means for storing knowledge information;
Inference rule storage means for storing an inference rule related to the knowledge information;
Inference means for obtaining the knowledge information related to the applied inference rule as an inference result by applying the inference rule to each context information included in the extended context list output from the context processing device;
An inference result presentation means for presenting the inference result;
An information processing apparatus comprising:
Storing ontology information including ontology node information representing each concept in the target field and relationship information representing a relationship between the ontology node information;
In the search process that traces the relationship between the ontology node information, the ontology search rule information that represents permitting a search for the ontology node information is stored,
When you get the context information
By referring to the ontology information including the ontology node information corresponding to the context information, a search is permitted by the ontology search rule information among other ontology node information having a relationship with the ontology node information. A search process for searching for the ontology node information that has been performed, and for the searched ontology node information, the search process is sequentially executed by referring to the ontology information and the ontology search rule information, and an extension including the context information Add each searched ontology node information to the context list,
A context processing method for outputting the extended context list.
An ontology information storage unit that stores ontology information including ontology node information that represents each concept in the target field and relationship information that represents a relationship between the ontology node information, and a search that traces the relationship between the ontology node information In the processing, using an ontology search rule information storage unit that stores ontology search rule information indicating that the search for the ontology node information is permitted,
A context information acquisition step for acquiring context information;
By referring to the ontology information including the ontology node information corresponding to the context information, a search is permitted by the ontology search rule information among other ontology node information having a relationship with the ontology node information. A search process for searching the acquired ontology node information, and for the searched ontology node information, the search process is sequentially executed by referring to the ontology information storage unit and the ontology search rule information storage unit, and the context An ontology information search step of adding each searched ontology node information to the extended context list including information;
An extended context list output step for outputting the extended context list;
Is a computer program that causes a computer device to execute.