Semantic retrieval method based on Ontology

A semantic and information retrieval technology, which is applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as inability to understand user information semantically and cannot retrieve user information, so as to improve the precision rate and realize Intelligent effect

Inactive Publication Date: 2013-12-11
BEIJING UNIV OF TECH
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  • Summary
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The current travel yellow pages service system, such as "Ctrip" and "Tuniu", only performs simple word matching on the keyword information entered by the use

Method used

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  • Semantic retrieval method based on Ontology
  • Semantic retrieval method based on Ontology
  • Semantic retrieval method based on Ontology

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Embodiment Construction

[0021] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0022] The required software environment of the present invention: Windows operating system, Myeclipse development tool, WEB server: Tomcat, database: Mysql, Spring+Struts+Hibernate framework.

[0023] Method flow chart of the present invention is as figure 1 shown, including the following steps:

[0024] Step 1: Complete the construction of the ontology database with the help of the ontology development tool Protégé, and manually analyze the concepts or core vocabulary in the field of tourism. The constructed ontology library forms a tree-type data structure.

[0025] Step 2. According to the relationship between domain concepts, such as the relationship between bus and station, attributes such as "passing" or "arriving" can be used to establish a relationship, and the ontology rule base is established using the Jena rule syntax format.

[0026] Ste...

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Abstract

The invention discloses a semantic retrieval method based on Ontology. Firstly, an ontology base is built, and building of ontology rules is further finished; search keys are input by a user, the value of similarity is worked out through concept similarity under the support of ontology; then, the concept that the value of the similarity is larger than a threshold value is added to an original search key set according to the set threshold value to form a new concept set in an extending mode; searching is carried out on the ontology base through the new concept set serving as source input words; finally, searching results are fed back to the user. According to the semantic retrieval method based on the Ontology, under the support of an ontology reasoning technology, accurate searching of living examples is achieved through the application of attributes in the ontology, and accordingly information retrieval recall ratio and precision ratio are improved when being compared with those in the prior art. According to the semantic retrieval method based on the Ontology, the grammar level of simple keyword matching is improved to the semantic level capable of being understood by a computer, and therefore input keywords can be understood by the computer, and accordingly retrieval intelligentization is achieved.

Description

technical field [0001] The present invention belongs to the intersecting field of natural language processing and machine intelligence. It is to use Ontology (ontology) technology to improve the current information retrieval technology from the keyword matching method to the computer-understandable semantic retrieval method, and to apply this technology to tourism information retrieval. In this way, an intelligent tourism retrieval service has been realized. technical background [0002] With the rapid development of the Internet and mobile communication technology, the Web has become a global information source. How to quickly and accurately find the information they need from the vast information resources has become a difficult problem for users. The traditional information retrieval method provided to users is to match the keywords entered by users, but in most cases, it is difficult to understand the real search purpose of users through such simple keyword matching, whi...

Claims

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Application Information

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IPC IPC(8): G06F17/30G06F17/27
Inventor 沈琦张猛汤艳宋清明
Owner BEIJING UNIV OF TECH
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