Semantic intelligent search method

An intelligent search and semantic technology, applied in the field of search algorithms, can solve problems such as not finding products, not being able to recognize, and complex selection, etc., to achieve the effect of getting rid of complexity and ambiguity, easy to operate and realize, and strong semantic correlation

Inactive Publication Date: 2013-01-16
上海羽度数码科技有限公司
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AI Technical Summary

Problems solved by technology

[0006] Insufficient one: compound keywords cannot be semantically related
[0011] the effect will be even worse, prompting that no related product was found, only the result of "computer" can be given, and "black" cannot be recognized at all
[0012] Shortcoming two: only specific "semantic" search, no general semantic effect
[0013] Insufficient Three: Checking is too compli

Method used

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Embodiment Construction

[0087] Step 1, define the general ontology ; The standard universal ontology in the present invention, including product entry thing (product, P), thing product category (productCategory, PC), thing product feature type (productFeatureType, PFType), thing product feature (productFeature, PF), and predicate V is an ontology concept system that can be applied to various specific fields (such as shopping, group buying, books, etc.);

[0088] Step 2, clarify the general sentence structure ; Carry out different permutations and combinations of "ontological concepts", each combination is a sentence structure. The number of sentence structures includes but is not limited to the 14 types listed above, which can be expanded according to specific field requirements;

[0089] Step 3: Establish a domain knowledge base based on a general unified ontology; It is necessary to store domain-related data according to ontology concepts. In the field of shopping, the so-called things are p...

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Abstract

The invention relates to correlation techniques of search algorithm, in particular to a universal intelligent search method capable of understanding natural semantics and being widely applied in different fields such as shopping, music and books. The method mainly solves the problems that the present key word search algorithm is only that key word segments are matched with target contents based on an index, and the matching result is in a mass when semantic keywords are connected, and aims to realize the technical purposes as follows: a natural semantic search sentence can be initiatively analyzed and understood, is divided into semantic bodies rather than key words; the index matching of key words is replaced by the matching of bodies and sentence types, and finally the effect of understanding natural semantics is realized; and further, the method provides a more convenient and accurate search method for natural language search, in particular to voice interaction search.

Description

technical field [0001] The present invention relates to related technologies of search algorithms, specifically a general intelligent search method that understands natural semantics and can be widely used in different fields (such as shopping, music, books, etc.). Background technique [0002] The current mainstream search technology based on keyword matching limits the semantic analysis ability of computers in retrieval. The results returned by its search contain a lot of irrelevant information, the precision rate is low, and it cannot meet the real intention of the user. For example, "buy a black mobile phone", the words "buy" and "of" will affect the results of keyword search, and it may be possible that as long as the products with the word "black" become the search results, such as black socks, black mobile phone etc. [0003] Obviously, it is difficult for keyword search to understand a sentence in natural language, such as "black computer", "buy an Android phone",...

Claims

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Application Information

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IPC IPC(8): G06F17/30G06F17/27
Inventor 陈绪平
Owner 上海羽度数码科技有限公司
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