CN110704642B - Ontology-based multi-level scientific and technological resource management method - Google Patents

Ontology-based multi-level scientific and technological resource management method Download PDF

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CN110704642B
CN110704642B CN201910969540.3A CN201910969540A CN110704642B CN 110704642 B CN110704642 B CN 110704642B CN 201910969540 A CN201910969540 A CN 201910969540A CN 110704642 B CN110704642 B CN 110704642B
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代风
顾新建
顾复
纪杨建
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Zhejiang University ZJU
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    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/30Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F16/36Creation of semantic tools, e.g. ontology or thesauri
    • G06F16/367Ontology
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    • G06COMPUTING; CALCULATING OR COUNTING
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    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
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    • G06F16/30Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
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    • G06F16/335Filtering based on additional data, e.g. user or group profiles

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Abstract

The invention discloses a body-based multi-level scientific and technological resource management method, which comprises the following steps: creating an ontology library; acquiring information to be searched; judging whether matching body information matched with the information to be searched exists in the body library or not; if the matching body information exists in the body library, optimizing the information to be searched based on the matching body information to obtain optimized information to be searched; obtaining a corresponding search result based on the optimized information to be searched; and if the matching body information does not exist in the body library, optimizing the body library based on the information to be searched to obtain an optimized body library. By adopting a bottom-up management method, a large number of actual users actively manage the ontology base, so that the management accuracy of multi-level ontology resources is improved, and the real-time management of the ontology base is realized, thereby improving the management efficiency of the ontology resources.

Description

Ontology-based multi-level scientific and technological resource management method
Technical Field
The invention relates to the technical field of knowledge ontology management, in particular to a multi-level scientific and technological resource management method based on an ontology.
Background
The scientific and technological resources are a collection of elements for creating scientific and technological achievements and promoting the development of the whole economy and society, and are a general term for the elements such as scientific and technological talent resources, scientific and technological financial resources, scientific and technological information resources, scientific and technological organization resources and the like. With the continuous development of science and technology, a large number of scientific and technological resources emerge. Promoting the sharing of the scientific and technological resources is an effective way to improve the utilization rate of the scientific and technological resources and avoid the waste of the scientific and technological resources.
An ontology is a collection of concept entities recognized in the field. In the process of sharing scientific and technological resources, because the sharers come from different fields and the sharing approaches and sharing environments are different, the descriptions of the same scientific and technological resource corresponding to each sharer are different, so that the retrieval accuracy of people on the scientific and technological resources is reduced, and the sharing efficiency of the scientific and technological resources is also reduced.
In the prior art, in order to manage different ontologies, an ontology library is often established by a small number of experts in the field, and is maintained by a large number of management personnel, so that the description of different ontologies in different fields is as accurate as possible. On the one hand, in the current information era, as the technical fields are continuously mined and subdivided, the number of ontologies in the ontology base is greatly increased, the speciality is continuously increased, and meanwhile, ontology information shows the condition of dynamic evolution, so that the traditional management method has low management efficiency on each ontology and has lower and lower management accuracy on the ontology base; on the other hand, as the similar body information is more and more, the user cannot acquire accurate search information through simple search information, and the user experience is greatly reduced.
Disclosure of Invention
In order to overcome the technical problems of inaccurate management and low management efficiency of ontology resources in the prior art, the embodiment of the invention provides a multi-level scientific and technological resource management method based on an ontology.
In order to achieve the above object, an embodiment of the present invention provides a multi-level scientific and technological resource management method based on an ontology, where the management method includes: creating an ontology library; acquiring information to be searched; judging whether matching body information matched with the information to be searched exists in the body library or not; if the matching body information exists in the body library, optimizing the information to be searched based on the matching body information to obtain optimized information to be searched; obtaining a corresponding search result based on the optimized information to be searched; and if the matching body information does not exist in the body library, optimizing the body library based on the information to be searched to obtain an optimized body library.
Preferably, the determining whether there is matching ontology information matching the information to be searched in the ontology library includes: obtaining screening operation of a user; if the screening operation comprises upper-layer body screening operation, acquiring matched upper-layer body information corresponding to the information to be searched from the body library according to a preset upper-layer matching rule; if the screening operation comprises similar body screening operation, acquiring matched similar body information corresponding to the information to be searched from the body library according to a preset similar matching rule; if the screening operation comprises lower-layer body screening operation, acquiring matched lower-layer body information corresponding to the information to be searched from the body library according to a preset lower-layer matching rule; acquiring the selection operation of the user in the matching upper-layer body information and/or the matching similar body information and/or the matching lower-layer body information; and generating corresponding matching body information based on the selection operation.
Preferably, the optimizing the information to be searched based on the matching ontology information to obtain optimized information to be searched includes: taking the matching body information as the optimized information to be searched; or combining the matching body information and the information to be searched to be used as the optimized information to be searched.
Preferably, the optimizing the ontology base based on the information to be searched to obtain an optimized ontology base includes: and generating new ontology information based on the information to be searched, and optimizing the ontology base based on the new ontology information to obtain an optimized ontology base.
Preferably, the multi-level ontology resource includes a parent-level ontology resource and at least one child-level ontology resource, where the parent-level ontology resource includes a layer standard ontology information, and each child-level ontology resource includes a layer standard ontology information and at least one layer associated ontology information, and the management method further includes: counting the body use information of each layer of standard body information and the layer of associated body information in real time and acquiring corresponding statistical information; updating the layer standard body information and the layer correlation body information of the current layer based on the statistical information to obtain updated layer standard body information and updated layer correlation body information; and generating an updated ontology base based on the updated rear-layer standard ontology information and the updated rear-layer associated ontology information.
Preferably, the updating the layer standard ontology information and the layer association ontology information based on the statistical information to obtain updated layer standard ontology information and updated layer association ontology information includes: acquiring the most frequently-used ontology information with the most use times in the layer standard ontology information and the layer correlation ontology information based on the statistical information; taking the most common ontology information as the updated back-level standard ontology information; and using the body information except the most common body information in the layer standard body information and the layer correlation body information as the updated layer correlation body information.
Preferably, the association method further comprises: acquiring first search frequency information of the user on the information to be searched and second search frequency information of the matching body information based on the statistical information; acquiring measurement information of each body information in the information to be searched and the matching body information based on the first searching frequency information and the second searching frequency information; and updating the ontology base based on the measurement information to obtain an updated ontology base.
In another aspect, the present invention also provides a computer-readable storage medium, on which a computer program is stored, which when executed by a processor implements the method provided by the present invention.
In another aspect, the present invention further provides a server, including: a processor; and the storage device is used for storing computer program instructions and is connected with the processor, and the computer program instructions are loaded in the processor and execute the method provided by the invention.
Through on the basis of current ontology base, put every user under the authority to the management of ontology base and maintenance, thereby allow every user all to carry out real-time management and update to the ontology base, compare in traditional top-down's management mode, greatly reduced every administrator's work load, the managerial efficiency to the ontology base has been improved, the real-time nature and the accuracy nature managed to the ontology base have still further been improved to the real-time management of ontology base simultaneously, more accurate ontology base can provide more accurate search information for the user simultaneously, thereby user experience has been improved.
Additional features and advantages of the invention will be set forth in the detailed description which follows.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
fig. 1 is a flowchart illustrating a specific implementation of a multi-level scientific and technical resource management method based on an ontology according to an embodiment of the present invention;
fig. 2 is a flowchart illustrating a specific implementation of determining whether there is matching ontology information in an ontology library in the ontology-based multi-level technology resource management method according to the embodiment of the present invention.
Detailed Description
In order to overcome the technical problems of inaccurate management and low management efficiency of ontology resources in the prior art, the embodiment of the invention provides a multi-level scientific and technological resource management method based on an ontology.
The following detailed description of embodiments of the invention refers to the accompanying drawings. It should be understood that the detailed description and specific examples, while indicating the present invention, are given by way of illustration and explanation only, not limitation.
It should be noted that the embodiments and features of the embodiments may be combined with each other without conflict.
The terms "system" and "network" in embodiments of the present invention may be used interchangeably. The "plurality" means two or more, and in view of this, the "plurality" may also be understood as "at least two" in the embodiments of the present invention. "and/or" describes the association relationship of the associated objects, meaning that there may be three relationships, e.g., a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" generally indicates that the preceding and following related objects are in an "or" relationship, unless otherwise specified. In addition, it should be understood that the terms first, second, etc. in the description of the embodiments of the invention are used for distinguishing between the descriptions and are not intended to indicate or imply relative importance or order to be construed.
Referring to fig. 1, the present invention provides a multi-level technology resource management method based on ontology, the management method includes:
s10) creating an ontology library;
s20) obtaining information to be searched;
s30) judging whether the matching body information matched with the information to be searched exists in the body library;
s40) if the matching body information exists in the body library, optimizing the information to be searched based on the matching body information to obtain optimized information to be searched;
s50) obtaining a corresponding search result based on the optimized information to be searched;
s60) if the matching ontology information does not exist in the ontology base, optimizing the ontology base based on the information to be searched to obtain an optimized ontology base.
In a possible implementation manner, the body information of the clothing industry needs to be managed, so that a technician first establishes a corresponding body library according to the existing body information, for example, by inputting the existing body information in a server, and then the server automatically generates the corresponding body library according to the body information, and performs cloud sharing on the body library at a cloud.
In the management process, the user A needs to search a certain clothing body, for example, needs to search a skirt, so the user A firstly inputs information to be searched, for example, the user A inputs the 'skirt', and the service automatically analyzes the information to be searched and matches the information with the body library. In the embodiment of the invention, the ontology library comprises a multi-level ontology, for example, in the field of clothing, the first-layer ontology is clothing, the second-layer ontology is top-dress, bottom-dress, underwear, full-body dress, protective dress and the like, each ontology of the second layer further comprises other ontologies of the third layer, the server determines that matching ontology information exists in the ontology library according to 'skirt' input by the user a, in the embodiment of the invention, the matching ontology information comprises similar ontology information and/or top-layer ontology information and/or bottom-layer ontology information, the server optimizes the information to be searched according to the searched similar ontology information and/or top-layer ontology information and/or bottom-layer ontology information, so as to obtain optimized information to be searched, at the moment, corresponding search results are obtained according to the optimized information to be searched, and the search results are fed back to the user a, thereby obtaining a more accurate search result for the user.
Further, if the server does not match the matching body information corresponding to the information to be searched, the body library is optimized according to the information to be searched, and therefore the optimized body library is obtained.
In the embodiment of the invention, the body base is automatically matched with the information to be searched in each searching process of each user, so that the searching information of the user is optimized in a multi-level body information manner, the effective searching range of the user is greatly enlarged, and the searching accuracy of the user is improved; on the other hand, once unmatched ontology information is found, the ontology base is optimized from bottom to top immediately according to the information to be searched of the user, so that the ontology base is optimized and updated accurately in real time, and the management accuracy and the management efficiency of ontology resources are greatly improved.
Referring to fig. 2, in the embodiment of the present invention, the determining whether there is matching ontology information matching the information to be searched in the ontology library includes:
s31) obtaining the screening operation of the user;
s32) if the screening operation comprises an upper-layer body screening operation, acquiring matched upper-layer body information corresponding to the information to be searched from the body library according to a preset upper-layer matching rule;
s33) if the screening operation comprises similar ontology screening operation, acquiring matching similar ontology information corresponding to the information to be searched from the ontology library according to a preset similar matching rule;
s34) if the screening operation comprises a lower-layer ontology screening operation, acquiring matched lower-layer ontology information corresponding to the information to be searched from the ontology library according to a preset lower-layer matching rule;
s35) obtaining the selection operation of the user in the matching upper-layer ontology information and/or the matching similar ontology information and/or the matching lower-layer ontology information;
s36) generating corresponding matching ontology information based on the selection operation.
In a possible implementation manner, the B user needs to search for information related to the suit, so as to input "suit" for searching, the server further obtains screening operation information of the user after obtaining the information to be searched, for example, by setting three options of "similar body", "upper body" and "lower body" on the user interface to prompt the user, for example, in an embodiment of the present invention, the B user clicks the "lower body" to further screen the body expansion operation of the "suit", after obtaining the "lower body" option selected by the B user, the server obtains matching lower body information corresponding to the "suit" according to a preset lower body screening operation, for example, the matching lower body information includes information of a collar, a sleeve, a pocket, a widget shape, an upper body front body, an upper body back body and the like, and at the moment, the server further obtains the selection operation of the user B on the matching lower-layer body information, for example, the user B selects a collar, sleeves and a pocket, and the server generates corresponding matching body information according to the collar, sleeves and pocket selected by the user B and the 'suit'.
It should be noted that the user may also select multiple pieces of screening information according to actual needs, for example, two screening options of a "similar body" and a "upper body" may be simultaneously selected, and at this time, the server obtains the body information corresponding to the information to be searched according to the two screening options, which also belongs to the protection scope of the present invention and is not described in detail herein.
In the embodiment of the invention, the searching operation of the user is subjected to multi-layer ontology searching and supplementing through the ontology library with a large amount of ontology information, so that the searching accuracy of the user in the searching process is greatly improved, and meanwhile, the user can further select the extended information provided by the server according to actual needs, so that the searching accuracy of the user is further improved, and the user experience is improved.
In this embodiment of the present invention, the optimizing the information to be searched based on the matching ontology information to obtain optimized information to be searched includes: taking the matching body information as the optimized information to be searched; or combining the matching body information and the information to be searched to be used as the optimized information to be searched.
In a possible implementation manner, when the user C searches for a "skirt", the server generates corresponding body extension information, such as information of an extra-short skirt, a cylindrical skirt, an inclined skirt and the like, according to the screening operation of the user C, and the user C considers that the extension information is more accurate, so that the extension information is selected as the information to be searched after optimization and the original search information is deleted, thereby obtaining a more accurate search result and greatly improving user experience.
In this embodiment of the present invention, the optimizing the ontology base based on the information to be searched to obtain an optimized ontology base includes: and generating new ontology information based on the information to be searched, and optimizing the ontology base based on the new ontology information to obtain an optimized ontology base.
Further, in this embodiment of the present invention, the multi-level ontology resource includes a parent-level ontology resource and at least one child-level ontology resource, where the parent-level ontology resource includes a layer standard ontology information, and each child-level ontology resource includes a layer standard ontology information and at least one layer associated ontology information, and the management method further includes: counting the body use information of each layer of standard body information and the layer of associated body information in real time and acquiring corresponding statistical information; updating the layer standard body information and the layer correlation body information of the current layer based on the statistical information to obtain updated layer standard body information and updated layer correlation body information; and generating an updated ontology base based on the updated rear-layer standard ontology information and the updated rear-layer associated ontology information.
In this embodiment of the present invention, the updating the layer standard ontology information and the layer associated ontology information based on the statistical information to obtain updated layer standard ontology information and updated layer associated ontology information includes: acquiring the most frequently-used ontology information with the most use times in the layer standard ontology information and the layer correlation ontology information based on the statistical information; taking the most common ontology information as the updated back-level standard ontology information; and using the body information except the most common body information in the layer standard body information and the layer correlation body information as the updated layer correlation body information.
In a possible implementation manner, during the process that the user uses the current ontology library, the server also performs statistical record on the use information of each ontology information of the user in real time, for example, the current ontology library includes a parent-level ontology resource and two sub-level ontology resources, wherein the parent-level ontology resource is "clothing", the first sub-level ontology resource includes "top dressing", "bottom dressing" and "underwear", the second sub-level ontology resource corresponding to the "top dressing" includes "shirt", "overcoat", "jacket" and "T-shirt", etc., the second sub-level ontology resource corresponding to the "bottom dressing" includes "skirt" and "trousers", etc., the "underwear" has no corresponding second sub-level ontology resource, and the "shirt" in the "top dressing" is used as the layer standard ontology information of the second sub-level during the actual use process, and along with the change of the using times of the user, the using times of the T-shirt is larger than that of the shirt, so that the server automatically changes the layer standard information of the second sub-layer into the T-shirt, and the use of the user is more convenient.
In the embodiment of the invention, each ontology in the ontology library is automatically optimized according to the actual use habit of each user, so that the real-time and accurate optimization of the whole ontology library is realized, and the management efficiency and the management accuracy of the ontology library are improved.
In this embodiment of the present invention, before generating the updated ontology library based on the updated standard ontology information and the updated associated ontology information, the management method further includes: acquiring personal identity information of the user; acquiring modification authority information of the user based on the personal identity information; judging whether the user has corresponding modification authority or not based on the modification authority information; under the condition that the user has the modification authority, generating an updated ontology base based on the updated standard ontology information and the updated associated ontology information; and feeding back corresponding prompt information under the condition that the user does not have the modification authority.
In the embodiment of the invention, the modification authority of the user is further obtained before the ontology library is modified, so that the problems of management confusion and management errors caused by random modification of the ontology library by irrelevant personnel in the prior art are avoided, the management reliability of the ontology library is effectively ensured, and the user experience is improved.
In the embodiment of the present invention, the association method further includes: acquiring first search frequency information of the user on the information to be searched and second search frequency information of the matching body information based on the statistical information; acquiring measurement information of each body information in the information to be searched and the matching body information based on the first searching frequency information and the second searching frequency information; and updating the ontology base based on the measurement information to obtain an updated ontology base.
In a possible embodiment, after obtaining statistical information of each ontology information in the ontology library used by the user, the server further obtains the information to be searched and metric information of each ontology in the matching ontology information, for example, by monitoring a search process of the user in real time, the server obtains a total number of search times T of currently input ontology information, further obtains a matching ontology L (the matching ontology L includes an upper-layer ontology, a similar ontology, and a lower-layer ontology of the currently input ontology information) selected when the user expands the currently input ontology, and obtains a total number of selection times O of the ontology in the matching ontology L, thereby calculating a formula according to the similar ontology:
Figure BDA0002231608000000101
acquiring a calculation method for similar ontologies in an ontology library, and according to calculation formulas of an upper ontology and a lower ontology:
Figure BDA0002231608000000102
the method comprises the steps of obtaining calculation methods of an upper body and a lower body, obtaining measurement information of each body to be searched and the body information matched according to the calculation methods, sequencing according to a preset sequencing rule, for example, the preset sequencing rule is that a default value of a similar body is set to be 0.5, a value interval of the similar body is (0,1), the default value of the upper body and the lower body is set to be 2.5, the value interval of the upper body and the lower body is (2,3), after the measurement information of each body to be searched is calculated, sequencing according to a sequence from small to large, and then adjusting the hierarchy attribute of each body in a body library according to a sequencing result, so that each body in the body library is updated, and the updated body library is obtained.
In the embodiment of the invention, real-time dynamic evolution of the ontology library is realized by performing real-time dynamic optimization on each ontology in the ontology library according to ontology calculation formulas of different levels instead of fixedly setting the level attributes of each ontology, so that the level attributes of each ontology in the ontology library better conform to actual use habits and cognition of a user, and the management accuracy of the ontology library is further improved.
Further, an embodiment of the present invention also provides a computer-readable storage medium, on which a computer program is stored, which when executed by a processor implements the method of the present invention.
The preferred embodiments of the present invention have been described in detail with reference to the accompanying drawings, however, the present invention is not limited to the specific details of the above embodiments, and various simple modifications can be made to the technical solution of the present invention within the technical idea of the present invention, and these simple modifications are within the protective scope of the present invention.
It should be noted that the various technical features described in the above embodiments can be combined in any suitable manner without contradiction, and the invention is not described in any way for the possible combinations in order to avoid unnecessary repetition.
Those skilled in the art will understand that all or part of the steps in the method according to the above embodiments may be implemented by a program, which is stored in a storage medium and includes several instructions to enable a single chip, a chip, or a processor (processor) to execute all or part of the steps in the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
In addition, any combination of the various embodiments of the present invention is also possible, and the same should be considered as the disclosure of the present invention as long as it does not depart from the spirit of the present invention.

Claims (8)

1. A multi-level scientific and technical resource management method based on an ontology is characterized by comprising the following steps:
creating an ontology library;
acquiring information to be searched;
judging whether matching body information matched with the information to be searched exists in the body library or not;
if the matching body information exists in the body library, optimizing the information to be searched based on the matching body information to obtain optimized information to be searched;
obtaining a corresponding search result based on the optimized information to be searched;
if the matching body information does not exist in the body library, optimizing the body library based on the information to be searched to obtain an optimized body library;
the multi-level ontology resource comprises a parent-level ontology resource and at least one sub-level ontology resource, wherein the parent-level ontology resource comprises a layer standard ontology information, each sub-level ontology resource comprises a layer standard ontology information and at least one layer associated ontology information, and the management method further comprises:
counting the body use information of each layer of standard body information and the layer of associated body information in real time and acquiring corresponding statistical information;
updating the layer standard body information and the layer correlation body information of the current layer based on the statistical information to obtain updated layer standard body information and updated layer correlation body information;
and generating an updated ontology base based on the updated rear-layer standard ontology information and the updated rear-layer associated ontology information.
2. The method according to claim 1, wherein the determining whether there is matching ontology information matching the information to be searched in the ontology library comprises:
obtaining screening operation of a user;
if the screening operation comprises upper-layer body screening operation, acquiring matched upper-layer body information corresponding to the information to be searched from the body library according to a preset upper-layer matching rule;
if the screening operation comprises similar body screening operation, acquiring matched similar body information corresponding to the information to be searched from the body library according to a preset similar matching rule;
if the screening operation comprises lower-layer body screening operation, acquiring matched lower-layer body information corresponding to the information to be searched from the body library according to a preset lower-layer matching rule;
acquiring the selection operation of the user in the matching upper-layer body information and/or the matching similar body information and/or the matching lower-layer body information;
and generating corresponding matching body information based on the selection operation.
3. The management method according to claim 1, wherein the optimizing the information to be searched based on the matching ontology information to obtain optimized information to be searched comprises:
taking the matching body information as the optimized information to be searched; or
And combining the matching body information and the information to be searched to serve as the optimized information to be searched.
4. The method for managing according to claim 1, wherein the optimizing the ontology library based on the information to be searched to obtain an optimized ontology library comprises:
and generating new ontology information based on the information to be searched, and optimizing the ontology base based on the new ontology information to obtain an optimized ontology base.
5. The method according to claim 1, wherein the updating the layer standard ontology information and the layer associated ontology information of the current layer based on the statistical information to obtain updated layer standard ontology information and updated layer associated ontology information includes:
acquiring the most frequently-used ontology information with the most use times in the layer standard ontology information and the layer correlation ontology information based on the statistical information;
taking the most common ontology information as the updated back-level standard ontology information;
and using the body information except the most common body information in the layer standard body information and the layer correlation body information as the updated layer correlation body information.
6. The management method according to claim 5, further comprising:
acquiring first search frequency information of the information to be searched of a user and second search frequency information of the matching body information based on the statistical information;
acquiring measurement information of each body information in the information to be searched and the matching body information based on the first searching frequency information and the second searching frequency information;
and updating the ontology base based on the measurement information to obtain an updated ontology base.
7. A computer-readable storage medium, on which a computer program is stored, which program, when being executed by a processor, is adapted to carry out the method of any one of claims 1 to 6.
8. A server, comprising:
a processor; and
a storage device storing computer program instructions, coupled to the processor, wherein the computer program instructions load and execute the method of any of claims 1-6.
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