CN107908637B - Entity updating method and system based on knowledge base - Google Patents

Entity updating method and system based on knowledge base Download PDF

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CN107908637B
CN107908637B CN201710883591.5A CN201710883591A CN107908637B CN 107908637 B CN107908637 B CN 107908637B CN 201710883591 A CN201710883591 A CN 201710883591A CN 107908637 B CN107908637 B CN 107908637B
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product service
attribute
knowledge base
product
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CN107908637A (en
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郑宇宏
陈文浩
郑烨翰
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Beijing Baidu Netcom Science and Technology Co Ltd
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    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
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    • G06F16/2379Updates performed during online database operations; commit processing
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    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
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    • G06N5/022Knowledge engineering; Knowledge acquisition

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Abstract

The application provides an entity updating method and system based on a knowledge base, wherein the method comprises the following steps: determining a product service association entity based on a knowledge base; generating a new attribute for the product service associated entity according to the product service requirement, and calling a knowledge base operator to update the product service associated entity; and sending the updated product service association entity to a product service application party. The problem that in the prior art, entity attribute data are captured based on batch processing scheduling, and service requirements of various products cannot be met can be solved. Aiming at different product service requirements, a unified technical scheme can be used to generate entity newly-added attributes, verify and update entity data, and update a knowledge base while meeting the product service requirements.

Description

Entity updating method and system based on knowledge base
[ technical field ] A method for producing a semiconductor device
The present application relates to the field of internet data processing technologies, and in particular, to a method and a system for entity update based on a knowledge base.
[ background of the invention ]
With the rapid growth of internet data, the internet gradually changes from the original document web containing only hyperlinks that refer web pages to each other to the data web containing a large number of data webs describing various entities and rich relationships between entities, and the whole internet becomes more three-dimensional. Under the background, internet companies take the situation as a basis and improve the service quality by constructing a knowledge base.
A knowledge base, also called a knowledge graph, is intended to describe various entities existing in the real world and attributes or relationships among the entities, and from the viewpoint of data processing, an objective thing in the real world is called an entity, which is any distinguishable and identifiable thing in the real world. An entity may be a person, thing, event, concept, etc. A knowledge graph can be viewed as a large graph, with nodes representing entities and edges being formed by attributes or relationships. The knowledge base is constructed by structured data items of entity names and attribute data thereof. In particular, the knowledge base may provide knowledge operators externally, which may be viewed as a data interface through which data may be collected from the internet.
The existing knowledge acquisition method belongs to an off-line batch processing scheduling grabbing method, and generally extracts concepts, entities, attributes and relationships from data such as open webpages and on-line encyclopedias. Entity attribute data is usually captured based on batch scheduling, for example, a full amount of entity data is captured from a website in a multithreading crawler form, and then a single entity is used as a granularity, a unified data specification (schema) is used for cleaning, fusing and establishing a connection between entities, so that a knowledge base with the entity as a core is constructed. With the increase of product services, the existing knowledge acquisition method is difficult to meet the rapidly-growing requirements of various product services, and has the following problems:
(1) separating the knowledge base from the knowledge base operator, and increasing the difficulty in acquiring entity data because the abundant entity attributes and the relationship network in the knowledge base cannot be utilized;
(2) the effectiveness of the data of the captured and returned entity attribute is difficult to check due to the lack of the data of the knowledge base;
(3) and the entity attribute data which is captured and returned does not have a unified database building and landing, and the universality and the reusability are poor.
[ summary of the invention ]
Aspects of the present application provide a method and system for entity update based on a knowledge base, which are used to meet business requirements of different products and reduce difficulty in acquiring entity data.
In one aspect of the present application, a method for entity update based on a knowledge base is provided, which includes:
determining a product service association entity based on a knowledge base;
generating a new attribute for the product service associated entity according to the product service requirement; calling a knowledge base operator to update the product service associated entity;
and sending the updated product service association entity to a product service application party.
The above-mentioned aspect and any possible implementation manner further provide an implementation manner, where the obtaining a product service association entity includes:
searching in a knowledge base according to the service field of the product, and screening out a product service associated entity; alternatively, the first and second electrodes may be,
and establishing an entity in the knowledge base according to the service field of the product, wherein the entity is used as a product service association entity.
As for the above-mentioned aspects and any possible implementation manner, further providing an implementation manner, where generating a new attribute for the product service association entity according to a product service requirement includes:
judging whether the attribute of the product service associated entity can meet the product service requirement; and if not, generating a new attribute for the product service associated entity according to the product service requirement.
As for the above-mentioned aspects and any possible implementation manner, further providing an implementation manner, where generating a new attribute for the product service association entity according to a product service requirement includes:
and generating one or more newly added attributes for the product service associated entity according to the product service requirement.
The above aspect and any possible implementation manner further provide an implementation manner, and the updating the product service association entity includes:
and acquiring corresponding data from an external webpage or external equipment through a knowledge base operator to be used as attribute values of one or more newly added attributes of the product service associated entity.
The above-described aspects and any possible implementations further provide an implementation, and the method further includes:
and performing data verification on the attribute value of the newly added attribute, and determining the data validity of the attribute value of the newly added attribute.
The above-described aspect and any possible implementation further provide an implementation, where the data check includes:
performing combined check on the attribute value of the newly added attribute and the attribute value of the attribute of the product service associated entity in the knowledge base; alternatively, the first and second electrodes may be,
and performing cross check on the attribute value of the newly added attribute and the attribute values of the same newly added attributes of other entities.
The above-described aspects and any possible implementations further provide an implementation, and the method further includes:
and updating the knowledge base by using the updated product service association entity.
In another aspect of the present application, a knowledge-base-based entity updating system is provided, including:
the knowledge base entity scheduling module is used for determining a product service association entity based on a knowledge base;
the knowledge base calculation module is used for generating a new attribute for the product service associated entity according to the product service requirement and calling a knowledge base operator to update the product service associated entity;
and the entity data broadcasting module is used for sending the updated product service associated entity to the product service application party.
The above-described aspect and any possible implementation further provide an implementation, where the knowledge base entity scheduling module is specifically configured to:
searching in a knowledge base according to the service field of the product, and screening out a product service associated entity; alternatively, the first and second electrodes may be,
and establishing an entity in the knowledge base according to the service field of the product, wherein the entity is used as a product service association entity.
The above-described aspect and any possible implementation further provides an implementation, where the knowledge base calculation module is further configured to:
judging whether the attribute of the product service associated entity can meet the product service requirement; and if not, calling a knowledge base operator to generate a new attribute for the product service associated entity based on the product service associated entity according to the product service requirement.
The above-described aspect and any possible implementation further provide an implementation, where the knowledge base computing module is specifically configured to:
and generating one or more newly added attributes of the product service associated entity according to the product service requirement.
The above-described aspect and any possible implementation further provide an implementation, where the knowledge base computing module is specifically configured to:
and acquiring corresponding data from an external webpage or external equipment through a knowledge base operator to be used as attribute values of one or more newly added attributes of the product service associated entity.
The foregoing aspect and any possible implementation manner further provide an implementation manner, where the system further includes a new attribute value checking module, configured to:
and performing data verification on the attribute value of the newly added attribute, and determining the data validity of the attribute value of the newly added attribute.
The above-described aspect and any possible implementation further provide an implementation, where the data check includes:
performing combined check on the attribute value of the newly added attribute and the attribute value of the attribute of the product service associated entity in the knowledge base; alternatively, the first and second electrodes may be,
and performing cross check on the attribute value of the newly added attribute and the attribute values of the same newly added attributes of other entities.
The above-described aspect and any possible implementation further provide an implementation, where the entity data broadcasting module is further configured to:
and updating the knowledge base by using the updated product service association entity.
In another aspect of the present application, there is provided an apparatus, comprising:
one or more processors;
a storage device for storing one or more programs,
when executed by the one or more processors, cause the one or more processors to implement any of the above-described methods.
In another aspect of the present application, a computer-readable storage medium is provided, on which a computer program is stored, wherein the program, when executed by a processor, implements any of the above-mentioned methods.
According to the technical scheme, the entity new attribute can be generated, the entity data can be verified and updated by using the unified technical scheme aiming at different product service requirements, and the knowledge base can be updated while the product service requirements are met.
[ description of the drawings ]
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present application, and those skilled in the art can also obtain other drawings according to the drawings without inventive labor.
Fig. 1 is a schematic flowchart of an entity updating method based on a knowledge base according to an embodiment of the present application;
FIG. 2 is a schematic diagram of a knowledge-base-based entity update system according to another embodiment of the present application;
FIG. 3 is a block diagram of an exemplary computer system/server suitable for use in implementing embodiments of the present invention.
[ detailed description ] embodiments
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
In addition, the term "and/or" herein is only one kind of association relationship describing an associated object, and means that there may be three kinds of relationships, for example, a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" herein generally indicates that the former and latter related objects are in an "or" relationship.
Fig. 1 is a schematic flowchart of an entity updating method based on a knowledge base according to an embodiment of the present application, as shown in fig. 1, including the following steps:
step 101: and determining a product business association entity based on the knowledge base.
Preferably, the knowledge base entity scheduling module obtains a product service association entity according to the obtained product service requirement and the service field of the product; wherein, the product service direct correlation entity can be a subscriber of the product service.
Preferably, the product business association entity can be screened out by searching in the knowledge base according to the business field of the product.
Preferably, since the user volume of the product service is dynamically changed, and the product service associated entity may not exist in the knowledge base before, entity initialization may be performed in the knowledge base according to the service field of the product, and the entity is newly created, and the newly created entity is used as the product service associated entity.
Preferably, the repository entity scheduling module sends the data of the product service association entity to the repository computation module via a middleware interface, such as a KAFKA distributed message queue. The KAFKA is a distributed message system based on publication/subscription, supports offline data processing and real-time data processing, and can meet the requirement of product business with sensitive knowledge timeliness. The knowledge base entity scheduling module 21 as a Producer uses the push model to issue messages to the broker server.
The data of the product service associated entity may be a plurality of ternary sets of data including an identifier, an attribute, and an attribute value of the entity, where the identifier of the entity is used to identify the entity, and a set unique identifier such as a character string and a uniform resource locator may be used as the identifier of the entity. Taking the product service requirement as a product service requirement sensitive to knowledge timeliness, such as a road condition reminding service as an example, the entity data is ternary group data such as (user a, home address, XX cell), (user a, unit address, XX office building) and the like. In the above entity data, the identifier of the entity is written as "user a", "home address" is an attribute corresponding to "user a", and "XX cell" is an attribute value corresponding to "home address".
Step 102: and generating a new attribute for the product service associated entity according to the product service requirement, and calling a knowledge base operator to update the product service associated entity.
The knowledge base calculation module reads the data of the product service associated entity sent by the knowledge base entity scheduling module through a middleware interface, such as a KAFKA distributed message queue; the knowledge base calculation module subscribes and consumes messages from the broker server in a first-in first-out mode as a concurer by using pull mode.
Preferably, whether the attribute of the product service associated entity can meet the product service requirement is judged; if yes, the entity data is directly sent to a product service application party through an entity data broadcasting module; and if not, generating a new attribute for the product service associated entity according to the product service requirement. In this embodiment, for example, the attribute of the product service association entity in the knowledge base does not meet the product service requirement for the moment.
Preferably, one or more newly added attributes of the product service associated entity are generated according to the product service requirement; and acquiring corresponding data through a knowledge base operator, wherein the corresponding data are used as attribute values of one or more newly added attributes of the product service associated entity, and the product service associated entity is updated.
The knowledge base operator can be regarded as an interface between the knowledge base and an external webpage or an external device; the method can be a generalized operator or a newly established operator according to the product service requirement. And the knowledge base operator is used for acquiring corresponding data from an external webpage or external equipment as the attribute value of the entity attribute.
For example, according to the requirement of the road condition reminding service, the attribute of the product service associated entity user a only includes a home address and a company address, and the geographic position of the user is changed in real time, so that the existing attribute cannot meet the requirement of the road condition reminding service, and therefore, a new attribute of the geographic position is generated for the product service associated entity; and calling a geographic position operator of the knowledge base to continuously acquire the geographic position coordinate of the user A from a positioning module of the user equipment in real time, and acquiring new triple data (the user A, the geographic position and the XX longitude and latitude) by taking the XX longitude and latitude as an attribute value of a newly added attribute of the geographic position. Further, based on the existing entity attributes, such as the home address attribute of the user, the company address attribute, etc., an attribute of "road condition from the geographical location of the user a to the home address" new addition attribute, and a road condition from the geographical location to the company address "new addition attribute are established for the" user a "; and combining a road condition congestion operator of the knowledge base to generate a road condition congestion condition from the geographic position of the user A to the home address as an attribute value and a road condition congestion condition from the geographic position of the user A to the company address as an attribute value in real time.
Step 103: performing data verification on the attribute value of the newly added attribute, and determining the data validity of the newly added attribute; and updating the product service associated entity.
Preferably, the newly added attribute value verification module performs data verification on the attribute value of the newly added attribute, which may include but is not limited to:
judging whether the attribute value of the newly added attribute is correct or not according to a preset check rule; and if the attribute value of the newly added attribute is judged to be incorrect, deleting the attribute information with the incorrect attribute value from the attribute value of the newly added attribute.
Preferably, the preset verification rule includes:
performing combined check on the attribute value of the newly added attribute and the attribute value of the attribute of the associated entity in the knowledge base; alternatively, the first and second electrodes may be,
and performing cross check on the attribute value of the newly added attribute and the attribute values of the same newly added attributes of other entities.
It can be understood that, a reasonable value range of the attribute value may be defined in the preset check rule, and if the attribute value does not conform to the reasonable value range, the attribute value is wrong and belongs to wrong data, so that the attribute value needs to be deleted.
For example,
and performing combined verification on the geographical position coordinate of the user and the nearest position coordinate of the user, wherein if the geographical position coordinate of the user is in the Guangdong in the last minute and the geographical position coordinate of the user is in the Beijing in the next minute, the attribute value obviously does not conform to the reality, and the attribute value of the current newly added attribute is directly ignored.
Or, because different users have the same road condition track at the current moment, the congestion conditions theoretically have almost the same difference, cross verification can be performed based on the attribute values of the same newly added attributes, if the congestion conditions have a larger difference, the attribute values obviously do not conform to the reality, and the attribute values of the current newly added attributes are directly ignored.
Preferably, after the data verification, manual data verification may be performed again to further improve the data validity of the new attribute.
Preferably, if the attribute value of the newly added attribute is successfully verified, the newly added attribute value verification module sends the updated entity data to the entity data broadcasting module.
Step 104: and sending the updated product service association entity to a product service application party, and updating the knowledge base based on the updated product service association entity.
Preferably, the updated entity comprises: the method comprises the steps of creating an entity, adding an attribute entity and updating an attribute value entity.
Preferably, the entity data broadcasting module receives the updated entity data from the newly added attribute value checking module, and sends the updated entity data to the product service application party according to a callback interface registered in advance by the product service application party, so that the product service application party makes a corresponding service policy based on the updated entity data. For example, the traffic condition reminding service application party provides the track of work and the traffic jam condition of the track to the user in real time according to the received updated data of the product service associated entity.
Preferably, after sending the updated entity data to the application party, the entity data broadcasting module recharges the updated entity to the knowledge base to update the knowledge base. The updated entity includes: the entity with the added attribute and the entity with the updated attribute value. Wherein updating the knowledge base comprises: adding new entities, updating existing entities, updating associations between entities, or any combination thereof.
It should be noted that the foregoing method embodiments are described as a series of acts or combinations for simplicity in explanation, but it should be understood by those skilled in the art that the present application is not limited by the order of acts described, as some steps may occur in other orders or concurrently depending on the application. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and modules referred to are not necessarily required in this application.
Fig. 2 is a block diagram of an entity updating system based on a knowledge base according to another embodiment of the present application, as shown in fig. 2, including:
and the knowledge base entity scheduling module 21 is configured to determine the product service association entity based on the knowledge base.
Preferably, the knowledge base entity scheduling module 21 obtains a product service associated entity according to the obtained product service requirement and the service field of the product, and sends the product service associated entity to the knowledge base computing module 22; wherein, the product service direct correlation entity can be a subscriber of the product service.
Preferably, the knowledge base entity scheduling module 21 may search in the knowledge base according to the service field of the product, and screen out the product service associated entity.
Preferably, since the user amount of the product service is dynamically changed and there may not be a product service associated entity in the knowledge base before, the knowledge base entity scheduling module 21 may perform entity initialization according to the service field of the product in the knowledge base, and create an entity, and use the created entity as the product service associated entity.
Preferably, the repository entity scheduling module 21 sends the data of the product service association entity to the repository computation module 22 through a middleware interface, such as KAFKA distributed message queue. The KAFKA is a distributed message system based on publication/subscription, supports offline data processing and real-time data processing, and can meet the requirement of product business with sensitive knowledge timeliness. The knowledge base entity scheduling module 21 as a Producer uses the push model to issue messages to the broker server. Wherein the data of the product service associated entity
The method can be a plurality of ternary groups of data comprising the identification, the attribute and the attribute value of the entity, wherein the identification of the entity is used for identifying the entity, and the set unique identification such as a character string, a uniform resource locator and the like can be used as the identification of the entity. Taking the product service requirement as a product service requirement sensitive to knowledge timeliness, such as a road condition reminding service as an example, the entity data is ternary group data such as (user a, home address, XX cell), (user a, unit address, XX office building) and the like. In the above entity data, the identifier of the entity is written as "user a", "home address" is an attribute corresponding to "user a", and "XX cell" is an attribute value corresponding to "home address".
And the knowledge base calculation module 22 is configured to generate a new attribute for the product service associated entity according to the product service requirement, and invoke a knowledge base operator to update the product service associated entity.
Preferably, the knowledge base calculation module 22 reads the data of the product service associated entity sent by the knowledge base entity scheduling module 21 through a middleware interface, such as KAFKA distributed message queue; the knowledge base computation module 22 subscribes and consumes messages from the broker server in a first-in-first-out manner as a consumer using pull mode.
Preferably, whether the attribute of the product service associated entity can meet the product service requirement is judged; if yes, the entity data is directly sent to the product service application party through the entity data broadcasting module 24; and if not, generating a new attribute for the product service associated entity according to the product service requirement. In this embodiment, for example, the attribute of the product service association entity in the knowledge base does not meet the product service requirement for the moment.
Preferably, according to the product service requirement, one or more newly added attributes of the product service associated entity are generated, and corresponding data is acquired through a knowledge base operator request and used as attribute values of the one or more newly added attributes of the product service associated entity.
The knowledge base operator can be regarded as an interface between the knowledge base and an external webpage or an external device; the method can be a generalized operator or a newly established operator according to the product service requirement. And the knowledge base operator is used for acquiring corresponding data from an external webpage or external equipment as the attribute value of the entity attribute.
For example, according to the requirement of the road condition reminding service, the attribute of the product service associated entity user a only includes a home address and a company address, and the geographic position of the user is changed in real time, so that the existing attribute cannot meet the requirement of the road condition reminding service, and therefore, a new attribute of the geographic position is generated for the product service associated entity; and calling a geographic position operator of the knowledge base to continuously acquire the geographic position coordinate of the user A from a positioning module of the user equipment in real time, and acquiring new triple data (the user A, the geographic position and the XX longitude and latitude) by taking the XX longitude and latitude as an attribute value of a newly added attribute of the geographic position. Further, based on the existing entity attributes, such as the home address attribute of the user, the company address attribute, etc., an attribute of "road condition from the geographical location of the user a to the home address" new addition attribute, and a road condition from the geographical location to the company address "new addition attribute are established for the" user a "; and (4) combining a road condition congestion operator of the knowledge base, calling road condition data from an external server, and generating a road condition congestion condition from the geographic position of the user A to the home address as an attribute value and a road condition congestion condition from the geographic position of the user A to the company address as an attribute value in real time.
A newly added attribute value verification module 23, configured to perform data verification on the attribute value of the newly added attribute, and determine data validity of the newly added attribute; and updating the product service associated entity.
The method for performing data check on the attribute value of the added attribute may include, but is not limited to:
judging whether the attribute value of the newly added attribute is correct or not according to a preset check rule; and if the attribute value of the newly added attribute is judged to be incorrect, deleting the attribute information with the incorrect attribute value from the attribute value of the newly added attribute.
Preferably, the preset verification rule includes:
performing combined check on the attribute value of the newly added attribute and the attribute value of the attribute of the associated entity in the knowledge base; alternatively, the first and second electrodes may be,
and performing cross check on the attribute value of the newly added attribute and the attribute values of the same newly added attributes of other entities.
It can be understood that, a reasonable value range of the attribute value may be defined in the preset check rule, and if the attribute value does not conform to the reasonable value range, the attribute value is wrong and belongs to wrong data, so that the attribute value needs to be deleted.
For example,
and performing combined check on the geographical position coordinate of the user A and the nearest position coordinate of the user A, wherein if the geographical position coordinate of the user A is in the Guangdong in the last minute and the geographical position coordinate of the user A is in the Beijing in the next minute, the attribute value obviously does not meet the reality, and the attribute value of the current newly added attribute is directly ignored.
Or, because different users have the same road condition track at the current moment, the congestion conditions theoretically have almost the same difference, cross verification can be performed based on the attribute values of the same newly added attributes, if the congestion conditions have a larger difference, the attribute values obviously do not conform to the reality, and the attribute values of the current newly added attributes are directly ignored.
Preferably, after the data verification, manual data verification may be performed again to further improve the data validity of the new attribute.
Preferably, if the verification of the attribute value of the newly added attribute is successful, the updated entity data is sent to the entity data broadcasting module 24.
And the entity data broadcasting module 24 is configured to send the updated product service associated entity to the product service application party, and update the knowledge base based on the updated product service associated entity.
Preferably, the updated entity comprises: the method comprises the steps of creating an entity, adding an attribute entity and updating an attribute value entity.
The entity data broadcasting module is used as an external interface module and provides interfaces for various product service application parties to register callback interfaces; and the callback interface is used for returning the entity data to the application party.
Preferably, the entity data broadcasting module 24 receives the updated entity data from the newly added attribute value checking module 23, and sends the updated entity data to the product service application party according to a callback interface registered in advance by the product service application party, so that the product service application party makes a corresponding service policy based on the updated entity data. For example, the traffic condition reminding service application party provides the track of work and the traffic jam condition of the track to the user in real time according to the received updated data of the product service associated entity.
Preferably, after the updated entity data is sent to the application party, the updated entity is recharged to the knowledge base, and the knowledge base is updated. The updated entity includes: the entity with the added attribute and the entity with the updated attribute value. Wherein updating the knowledge base comprises: adding new entities, updating existing entities, updating associations between entities, or any combination thereof.
In an embodiment of the application, the product service requirement is a product service requirement sensitive to knowledge timeliness, for example, the road condition reminding service is subscribed by a user, and the road condition reminding service can set the commuting time, the home address and the company address by the user and inform the commuting traffic congestion information to the user on time. The user is an entity, and the work-on and work-off time, the home address and the company address are entity attributes. However, the online time, the home address and the company address are all fixed and are static entity attributes; however, the current coordinate position of the user is an attribute that changes frequently, and it is difficult for the knowledge base based on pure offline batch processing to meet the high timeliness requirement of the road condition reminding service.
The knowledge base entity scheduling module 21 is used for screening out entities related to the road condition reminding service from the knowledge base according to the requirements of the road condition reminding service and the service fields of the products; or newly building a road condition in the knowledge base to remind the entity associated with the service.
The entity associated with the road condition reminding service is a user, such as user a, who subscribes to the road condition reminding service.
The knowledge base entity scheduling module 21 sends the data of the product business association entity to the knowledge base calculation module 22.
Entity data such as triple data (user a, home address, XX cell), (user a, unit address, XX office building), etc. In the above entity data, the identifier of the entity is written as "user", "home address" is an attribute corresponding to "user a", and "XX cell" is an attribute value corresponding to the attribute of "home address".
According to the road condition reminding service requirement, the attribute of the product service associated entity user A only comprises a home address and a company address, and the geographic position of the user is changed in real time, so that the existing attribute cannot meet the road condition reminding service requirement, and therefore, the knowledge base calculation module 22 generates a new attribute of the geographic position for the product service associated entity according to the road condition reminding service requirement; and calling a geographic position operator of the knowledge base to continuously acquire the geographic position coordinate of the user A from a positioning module of the user equipment in real time, and acquiring new triple data (the user A, the geographic position and the XX longitude and latitude) by taking the XX longitude and latitude as an attribute value of a newly added attribute of the geographic position. Further, based on the existing entity attributes, such as the home address attribute of the user, the company address attribute, etc., an attribute of "road condition from the geographical location of the user a to the home address" new addition attribute, and a road condition from the geographical location to the company address "new addition attribute are established for the" user a "; and (4) combining a road condition congestion operator of the knowledge base, calling road condition data from an external server, and generating a road condition congestion condition from the geographic position of the user A to the home address as an attribute value and a road condition congestion condition from the geographic position of the user A to the company address as an attribute value in real time.
The newly added attribute value verification module 23 performs data verification on the attribute value of the newly added attribute of the geographic position to determine the data validity of the newly added attribute. The method comprises the following steps:
and performing combined verification on the geographic position coordinate of the user A and the nearest position of the user A, wherein if the last minute is in Guangdong and the next minute is in Beijing, the attribute value obviously does not conform to reality, and the attribute value of the current newly added attribute is directly ignored.
Or, because different users have the same road condition track at the current moment, the congestion conditions theoretically have almost the same difference, cross verification can be performed based on the attribute values of the same newly added attributes, if the congestion conditions have a larger difference, the attribute values obviously do not conform to the reality, and the attribute values of the current newly added attributes are directly ignored.
When the attribute value of the newly added attribute is successfully verified, the newly added attribute value verification module 23 sends the updated product service associated entity to the entity data broadcasting module 24.
The entity data broadcasting module 24 sends the updated product service associated entity to the road condition reminding service application party, and meanwhile, updates the knowledge base based on the updated product service associated entity.
Preferably, the traffic condition reminding service application side provides the track of work and the traffic jam condition of the track to the user in real time according to the received updated data of the product service associated entity.
According to the scheme, the timeliness requirement of the road condition reminding service is met, the user's on-duty track and the traffic jam condition of the track are continuously known in real time in the whole entity monitoring process, and the knowledge base can be fed back, so that the coverage rate of the entities and the entity attributes in the knowledge base is improved.
In another embodiment of the present application, the product service requirement is a movie showing reminding service, and the user subscribes to a showing reminding service of a certain movie, and the movie showing reminding service can be set by the user as a movie name and a movie watching cinema; before the movie is shown, the user is notified by text message or other means that the movie will be shown in the XX theater after X days.
And the knowledge base entity scheduling module 21 is used for screening out entities related to the movie showing reminding services from the knowledge base according to the requirements of the movie showing reminding services and the service fields of the products.
And the entity associated with the movie showing reminding service is a user subscribed with the movie showing reminding service.
The knowledge base entity scheduling module 21 sends the data of the product business association entity to the knowledge base calculation module 22.
Because the attribute of 'movie showing time' does not exist in the knowledge base, the knowledge base calculation module 22 generates a new attribute of 'movie showing time' for the product service associated entity according to the movie showing reminding service requirement; and calling a capture operator of the knowledge base to capture the movie showing time from an external movie booking website as an attribute value of a newly added attribute of the movie showing time. The crawling operator can be a generalized knowledge base operator or an added knowledge base operator for crawling the characteristic webpage information.
The newly added attribute value verification module 23 performs data verification on the attribute value of the newly added attribute of the 'movie showing time', and determines the data validity of the newly added attribute. The method comprises the following steps:
and carrying out combined check on the movie showing time and the current time, wherein if the movie showing time is earlier than the current time or later than the current time for too long, the attribute value obviously does not conform to the reality, and the attribute value of the current newly added attribute is directly ignored.
Or, because different users subscribe to the same movie showing reminder, theoretically, showing times of different movie theaters will have almost the same difference, cross-checking can be performed based on the attribute values of the same newly added attributes, and if the showing time difference is large, the attribute value obviously does not conform to the reality, and the attribute value of the current newly added attribute is directly ignored.
When the attribute value of the newly added attribute is successfully verified, the newly added attribute value verification module 23 sends the updated product service associated entity to the entity data broadcasting module 24.
The entity data broadcasting module 24 sends the updated product service associated entity to the movie showing reminding service application party, and meanwhile, updates the knowledge base based on the updated product service associated entity.
Preferably, the movie showing reminding service application side notifies the user that the movie will be shown in the XX cinema after X days by a short message or other means before showing the movie according to the received updated data of the product service associated entity.
The scheme of the embodiment can not only meet the requirement of the movie showing reminding service and provide movie showing reminding for users, but also can feed the knowledge base reversely, thereby improving the coverage rate of the entities and the entity attributes in the knowledge base.
By adopting the technical scheme provided by the application, aiming at different product service requirements, a unified technical scheme can be used, entity newly added attributes are generated, entity data are verified and updated, and a knowledge base can be updated while the product service requirements are met.
It should be noted that, for simplicity of description, the above-mentioned method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present application is not limited by the order of acts described, as some steps may occur in other orders or concurrently depending on the application. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and modules referred to are not necessarily required in this application.
In the embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
By adopting the technical scheme provided by the embodiment, the method can be used.
It can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes of the described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in the present application, it should be understood that the disclosed method and apparatus may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional unit.
Fig. 3 illustrates a block diagram of an exemplary computer system/server 012 suitable for use in implementing embodiments of the invention. The computer system/server 012 shown in fig. 3 is only an example, and should not bring any limitations to the function and the scope of use of the embodiments of the present invention.
As shown in fig. 3, the computer system/server 012 is embodied as a general purpose computing device. The components of computer system/server 012 may include, but are not limited to: one or more processors or processing units 016, a system memory 028, and a bus 018 that couples various system components including the system memory 028 and the processing unit 016.
Bus 018 represents one or more of any of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, a processor, or a local bus using any of a variety of bus architectures. By way of example, such architectures include, but are not limited to, Industry Standard Architecture (ISA) bus, micro-channel architecture (MAC) bus, enhanced ISA bus, Video Electronics Standards Association (VESA) local bus, and Peripheral Component Interconnect (PCI) bus.
Computer system/server 012 typically includes a variety of computer system readable media. Such media may be any available media that is accessible by computer system/server 012 and includes both volatile and nonvolatile media, removable and non-removable media.
System memory 028 can include computer system readable media in the form of volatile memory, such as Random Access Memory (RAM)030 and/or cache memory 032. The computer system/server 012 may further include other removable/non-removable, volatile/nonvolatile computer system storage media. By way of example only, storage system 034 may be used to read from and write to non-removable, nonvolatile magnetic media (not shown in FIG. 3, commonly referred to as a "hard drive"). Although not shown in FIG. 3, a magnetic disk drive for reading from and writing to a removable, nonvolatile magnetic disk (e.g., a "floppy disk") and an optical disk drive for reading from or writing to a removable, nonvolatile optical disk (e.g., a CD-ROM, DVD-ROM, or other optical media) may be provided. In such cases, each drive may be connected to bus 018 via one or more data media interfaces. Memory 028 can include at least one program product having a set (e.g., at least one) of program modules configured to carry out the functions of embodiments of the present invention.
Program/utility 040 having a set (at least one) of program modules 042 can be stored, for example, in memory 028, such program modules 042 including, but not limited to, an operating system, one or more application programs, other program modules, and program data, each of which examples or some combination thereof might include an implementation of a network environment. Program modules 042 generally perform the functions and/or methodologies of embodiments of the present invention as described herein.
The computer system/server 012 may also communicate with one or more external devices 014 (e.g., keyboard, pointing device, display 024, etc.), hi the present invention, the computer system/server 012 communicates with an external radar device, and may also communicate with one or more devices that enable a user to interact with the computer system/server 012, and/or with any device (e.g., network card, modem, etc.) that enables the computer system/server 012 to communicate with one or more other computing devices. Such communication may occur through an input/output (I/O) interface 022. Also, the computer system/server 012 may communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network such as the internet) via the network adapter 020. As shown, the network adapter 020 communicates with the other modules of the computer system/server 012 via bus 018. It should be appreciated that although not shown in fig. 3, other hardware and/or software modules may be used in conjunction with the computer system/server 012, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, among others.
The processing unit 016 executes the programs stored in the system memory 028, thereby performing the functions and/or methods of the described embodiments of the present invention.
The computer program described above may be provided in a computer storage medium encoded with a computer program that, when executed by one or more computers, causes the one or more computers to perform the method flows and/or apparatus operations shown in the above-described embodiments of the invention.
With the development of time and technology, the meaning of media is more and more extensive, and the propagation path of computer programs is not limited to tangible media any more, and can also be downloaded from a network directly and the like. Any combination of one or more computer-readable media may be employed. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
A computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Computer program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present application, and not to limit the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions in the embodiments of the present application.

Claims (16)

1. A method for entity update based on a knowledge base is characterized by comprising the following steps:
determining a product service associated entity based on a knowledge base, wherein the product service associated entity is a subscriber of a product service;
generating a new attribute for the product service associated entity according to the product service requirement, and calling a knowledge base operator to update the product service associated entity;
sending the updated product service associated entity to a product service application party; wherein the content of the first and second substances,
the generating of the new attribute for the product service associated entity according to the product service requirement includes:
judging whether the attribute of the product service associated entity can meet the product service requirement; and if not, generating a new attribute for the product service associated entity according to the product service requirement.
2. The method of claim 1, wherein the determining a product business association entity comprises:
searching in a knowledge base according to the service field of the product, and screening out a product service associated entity; alternatively, the first and second electrodes may be,
and establishing an entity in the knowledge base according to the service field of the product, wherein the entity is used as a product service association entity.
3. The method of claim 1, wherein the generating the new attribute for the product service associated entity according to the product service requirement comprises:
and generating one or more newly added attributes for the product service associated entity according to the product service requirement.
4. The method of claim 3, wherein said invoking a knowledge base operator to update the product-service association entity comprises:
and acquiring corresponding data from an external webpage or external equipment through a knowledge base operator to be used as attribute values of one or more newly added attributes of the product service associated entity.
5. The method of claim 4, further comprising:
and performing data verification on the attribute value of the newly added attribute, and determining the data validity of the attribute value of the newly added attribute.
6. The method of claim 5, wherein the data verification comprises:
performing combined check on the attribute value of the newly added attribute and the attribute value of the attribute of the product service associated entity in the knowledge base; alternatively, the first and second electrodes may be,
and performing cross check on the attribute value of the newly added attribute and the attribute values of the same newly added attributes of other entities.
7. The method of claim 1, further comprising:
and updating the knowledge base by using the updated product service association entity.
8. A repository-based entity update system, comprising:
the system comprises a knowledge base entity scheduling module, a product service correlation entity and a product service management module, wherein the knowledge base entity scheduling module is used for determining the product service correlation entity based on a knowledge base, and the product service correlation entity is a subscriber of the product service;
the knowledge base calculation module is used for generating a new attribute for the product service associated entity according to the product service requirement and calling a knowledge base operator to update the product service associated entity;
the entity data broadcasting module is used for sending the updated product service associated entity to a product service application party; wherein the content of the first and second substances,
the knowledge base calculation module is further configured to:
judging whether the attribute of the product service associated entity can meet the product service requirement; and if not, generating a new attribute for the product service associated entity according to the product service requirement.
9. The system of claim 8, wherein the knowledge base entity scheduling module is specifically configured to:
searching in a knowledge base according to the service field of the product, and screening out a product service associated entity; alternatively, the first and second electrodes may be,
and establishing an entity in the knowledge base according to the service field of the product, wherein the entity is used as a product service association entity.
10. The system of claim 8, wherein the knowledge base computation module is specifically configured to:
and generating one or more newly added attributes for the product service associated entity according to the product service requirement.
11. The system of claim 10, wherein the knowledge base computation module is specifically configured to:
and acquiring corresponding data from an external webpage or external equipment through a knowledge base operator to be used as attribute values of one or more newly added attributes of the product service associated entity.
12. The system of claim 11, further comprising a new attribute value check module configured to:
and performing data verification on the attribute value of the newly added attribute, and determining the data validity of the attribute value of the newly added attribute.
13. The system of claim 12, wherein the data verification comprises:
performing combined check on the attribute value of the newly added attribute and the attribute value of the attribute of the product service associated entity in the knowledge base; alternatively, the first and second electrodes may be,
and performing cross check on the attribute value of the newly added attribute and the attribute values of the same newly added attributes of other entities.
14. The system of claim 8, wherein the entity data broadcasting module is further configured to:
and updating the knowledge base by using the updated product service association entity.
15. An electronic device, characterized in that the electronic device comprises:
one or more processors;
a storage device for storing one or more programs,
when executed by the one or more processors, cause the one or more processors to implement the method of any one of claims 1-7.
16. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the method according to any one of claims 1-7.
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