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Method for querying hierarchical semantic venation document

A query method and hierarchical technology, applied in the field of computer retrieval, can solve the problems of document deep-level knowledge query, unable to express complex relationships, etc., and achieve the effect of simple and convenient operation

Inactive Publication Date: 2010-07-07
HUAZHONG UNIV OF SCI & TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0016] In order to overcome the shortcomings of the existing document query methods that cannot express complex relationships and perform deeper knowledge query functions on documents, the present invention proposes a hierarchical semantic context document query method

Method used

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  • Method for querying hierarchical semantic venation document
  • Method for querying hierarchical semantic venation document
  • Method for querying hierarchical semantic venation document

Examples

Experimental program
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Effect test

Embodiment 1

[0069] If Wuhan selects the candidate torchbearers for the Beijing Olympics, the conditions are:

[0070] (1) Permanent residents in this area include people with registered permanent residence ① or long-term migrant workers with temporary residence permit ②, aged over 14 years ③, able to successfully complete the 400-meter torch relay (passed the test) ④, and have no criminal record ⑤

[0071] (2) If the public applies for it, it must have outstanding contributions in the industry⑥, if it is a laid-off worker or a disabled person, it should have a touching story⑦, excluding professional sports personnel⑧

[0072] (3) If selected by the organization system, it is limited to professional sports personnel ⑨ and won the ranking of national competitions ⑩

[0073] The following assumptions are made: to apply for torchbearers through free registration and organization selection; each candidate must submit an application, and in each application must indicate the candidate condition...

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Abstract

The invention relates to a method for querying a hierarchical semantic venation document, which is applied to the query of an unstructured document and can carry out complicated query and deeper knowledge acquisition, such as network document query, questionnaire survey document query, and the like. In the method, the query intention of a user is expressed by a query tree, the query semantic venation is expressed by a leaf node of the query tree, namely a query clause, and a logical operation relation among subnodes is expressed by a branch node. When whether a document is the document needed by the user or not is tested, the deep search and test are carried out according to the query tree. If a node is a query clause node, a semantic venation matching test is carried out; if the node is the branch node, the logical operation is carried out. The current node decides a self return value according to a return value of the subnode. Finally, if the return value of a root node is true, the current tested document is selected as the document needed by the user.

Description

technical field [0001] The invention relates to a computer retrieval method for unstructured or semi-structured document query, especially for webpage document query. Background technique [0002] Document query is an important link in scientific work. With the rapid development of computer technology, communication technology, information technology, etc., people can obtain more and more documents, and their horizons become wider and wider. However, problems also arise. People may not have to worry about the lack of information, but worry about the difficulty of finding useful information because of too much information. People are more concerned about how to express more complex document query requirements and how to obtain deeper knowledge. Therefore, it is of great significance to provide users with a simple, intuitive, effective and powerful query method. [0003] Currently common commercial query systems usually provide two query methods: simple query and advanced qu...

Claims

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Application Information

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IPC IPC(8): G06F17/30
Inventor 尹文生陈修国
Owner HUAZHONG UNIV OF SCI & TECH
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