New-generation industry knowledge full-text search method

A new-generation, industry-leading technology, applied in the field of new industry knowledge full-text retrieval systems, can solve problems such as backwardness of full-text retrieval systems

Inactive Publication Date: 2014-05-28
中科国力(镇江)智能技术有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

As the intelligent requirements of customer demands are getting higher and highe

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  • New-generation industry knowledge full-text search method
  • New-generation industry knowledge full-text search method
  • New-generation industry knowledge full-text search method

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Embodiment Construction

[0144] The full-text document data collection for full-text search in the present invention can be regarded as a collection that changes with time. Its document data model is as figure 1 As shown, these full-text documents have triple characteristics of space, time and content. We use document identifiers to represent the spatial characteristics of documents, (document vectors, feature vectors, topics) to represent the content characteristics of documents, and express them in terms of (day, month, year) The temporal nature of the document.

[0145] Such as figure 2 , image 3 shown, a A new generation of industry knowledge full-text retrieval method , including the following steps:

[0146] Step 1, build a word segmentation dictionary: build a word segmentation dictionary, and store the dictionary information in the database.

[0147] Step 2, build a full index: read, segment and analyze existing full-text documents (in the present invention, also referred to as knowled...

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Abstract

A new-generation industry knowledge full-text search method includes: 1, segmentation dictionary setup, namely setting up a segmentation dictionary, and storing dictionary information into a database; 2, full index setup, namely reading, dividing words and analyzing existing full-text documents called 'knowledge point documents' to set up an index file; 3, increment index setup, namely processing newly added documents and updating an index file on a hard disk; 4, memory index setup and memory segmentation dictionary setup, namely reading segmentation dictionary data in a memory to set up a memory segmentation dictionary data structure; 5, full-text search, user question standardization, word dividing, semantic comprehension, semantic extension, candidate document acquisition and candidate document ordering, wherein segmentation dictionary setup is conducted during system initialization; full index setup includes reading all knowledge documents to fully set up a hard disk index file called 'index file' for short; increment index setup is conducted when full-text files are newly added; the three events are independent from a full-text retrieval module and in independent operation.

Description

technical field [0001] The invention relates to the field of full-text retrieval, in particular to the field of full-text retrieval of industry knowledge, and proposes a new industry knowledge full-text retrieval system and method. Background technique [0002] Full-text retrieval means that the computer index program builds an index for each word by scanning each word in the article, indicating the number and position of the word in the article. Search, and feed back the results of the search to the user's retrieval method. This process is similar to the process of looking up a word through a search word table in a dictionary. Full-text search is a text data retrieval method that matches all text in a file with search terms. The full-text retrieval system is a software system established according to the full-text retrieval theory to provide full-text retrieval services. Full-text search is a search that searches out any content information in the entire book or article ...

Claims

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Application Information

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IPC IPC(8): G06F17/30
CPCG06F16/93
Inventor 王卫民符建辉王石
Owner 中科国力(镇江)智能技术有限公司
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