Intelligent semantic searching method
A search method and intelligent semantic technology, applied in the field of intelligent search, can solve problems such as inability to adapt and update knowledge base, and achieve the effect of complete information service
Patent Information
- Authority / Receiving Office
- CN · China
- Current Assignee / Owner
- Publication Date
- 2002-02-13
- Estimated Expiration
- Not applicable · inactive patent
Smart Images
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Abstract
Description
technical field
[0001] The invention relates to an intelligent search method that allows users to use natural language to search. Background technique
[0002] The rapid development and widespread popularization of the Internet has led to the explosive growth of online information. The emergence of search technology has brought good news for netizens to quickly find the information they need. Based on the traditional search method, there are mainly three types of search engines, namely robot search engine (Robot), directory search engine (Directory or Catalog) and meta search engine (Meta). Traditional search methods mainly use keyword matching to retrieve information, because it is difficult for users to simply use keywords or keyword strings to faithfully express what they really need to retrieve, the difficulty of expression makes retrieval difficult, and natural language is random. With the change of time, region or field, the same concept can be expressed in different...
Examples
Embodiment Construction
[0030] The intelligent semantic search method of the present invention comprises the following steps
[0031] (1) Receiving a search request from a user, for example, "computer application".
[0032] (2) Segment the request sentence through the word segmentation dictionary in the knowledge base, such as: "computer" and "application"; and analyze related words, such as "computer" whose parent word is "machine" , the synonyms are "computer" and "PC", the subcategories are "server" and "PC", and other related words are "keyboard", "CPU" and "software", and record their respective correlations.
[0033] (3) Perform grammatical analysis on the word segmentation table through the grammatical rule base in the knowledge base, and carry out semantic analysis according to the relevant word lists, and form a semantic search table. If "computer application" is an inverted verb-object phrase and is a general phrase, its related "software development" should also be searched. Each entry i...