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Method and apparatus for ordering incidence relation search result

A technology of association relationship and search results, which is applied in the direction of instruments, calculations, electrical digital data processing, etc., can solve the problems that the results cannot meet the needs of users, cannot satisfy users, and users cannot search efficiently and accurately

Inactive Publication Date: 2009-08-05
HUAWEI TECH CO LTD +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0014] In the existing search technology, the retrieval of keywords is only a simple word matching in the full text, that is, the retrieval of entities, the retrieved results are far from meeting the user's requirements. However, there is no technical solution for sorting the retrieval results of related relationships in the existing search for related relationships, so that users cannot efficiently and accurately search for the information they want to obtain, and cannot satisfy user needs

Method used

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  • Method and apparatus for ordering incidence relation search result
  • Method and apparatus for ordering incidence relation search result
  • Method and apparatus for ordering incidence relation search result

Examples

Experimental program
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Embodiment 1

[0068] Based on these three key factors affecting the sorting, the embodiment of the present invention proposes a sorting method for association relations, such as figure 1 Shown include the following steps:

[0069] Step 1. Analyze the triple information of each instance of the ontology, and construct an instance association relationship graph according to the triple information of each instance;

[0070] Step 2. According to any two instances in the input ontology, traverse the paths of all association relationships between the two instances in the instance association relationship diagram, and generate search result information of all association relationships between the two instances;

[0071] According to the two instances entered by the user, search is performed in the instance association graph that has been built. The search method is the depth-first search of the graph. During the search process, all other instances and attributes related to the two instances are sav...

Embodiment 2

[0112] Embodiments of the present invention also provide a sorting device for association search results, such as figure 2 shown, including:

[0113] Ontology parsing module 1, used for parsing triplet information of each instance of the ontology, and constructing an instance association graph according to the triplet information of each instance;

[0114]An association relationship search module 2, configured to traverse the paths of all association relationships between the two instances in the instance association relationship diagram according to any two instances in the input ontology, and generate a list of all association relationships between the two instances. search result information;

[0115] The relationship sorting module 3 is used to calculate the field relevance and / or the length of the relationship and / or the frequency of the relationship according to the search result information; according to the field relevance or the length of the relationship or the fre...

Embodiment 3

[0118] Such as image 3 As shown, it is a schematic diagram of the body structure Figure 1 , according to the analysis of the ontology, the following main classes are determined:

[0119] bank account (Account);

[0120] Books;

[0121] The course chosen by the student (Course);

[0122] Customer (Customer);

[0123] An employee of an organization (Employee);

[0124] Faculty in the school: it includes subcategories: professors in universities, and professors include subcategories: professors who are tutors (Adviser);

[0125] Aircraft flight (Flight);

[0126] the leader of an organization;

[0127] Organization or institution (Organization);

[0128] Passenger of the flight;

[0129] Payment method (Payment_Type); there are two subcategories under Payment_Type: one is a credit card (Credit_Card), and the other is a frequent flyer (Frequent_Flier);

[0130] Student (Student), which can be undergraduate, postgraduate or doctoral, etc.; the Student class has a subcla...

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Abstract

The invention discloses a method and device for sorting search results of association relationships. The method includes: analyzing triplet information of each instance of an ontology to construct an instance association relationship graph; and traversing the instance association relationship graph according to two input instances The paths of all association relationships between the two instances are used to generate search result information; the field correlation degree and / or the length of association relationship and / or the frequency of association relationship are calculated; and the search result information is sorted. The device includes: an ontology analysis module, an association relationship search module, and an association relationship sorting module. From the above technical solution, it can be known that by calculating the parameters of field relevance and / or relationship length and / or relationship frequency, the search results can be sorted flexibly, so that users can obtain more accurately and effectively from the search results. to the desired information.

Description

technical field [0001] The invention relates to a sorting method and device for search results, in particular to a sorting method and device for correlation search results. Background technique [0002] One of the main goals of today's Internet is information sharing, that is, no matter what platform, language, and protocol, users can access the information they need. This is the business requirement behind the contemporary Internet. Therefore, in the past decade, web search has focused on the standards to ensure that web information resources can be accessed. The development of the Semantic Web and the development of the hierarchical structure in the Semantic Web system can make computers more efficient in processing information resource retrieval. [0003] The current research on semantic search technology mainly focuses on the search of instances (i.e., instances or entities) in semantic web resources, but in practical applications, what people are most interested in is n...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/30
Inventor 舒琦文坤梅李瑞轩孙小林赵艳涛
Owner HUAWEI TECH CO LTD
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