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Classified knowledge acquiring method and device

A knowledge acquisition and knowledge technology, applied in the computer field, can solve problems such as classification knowledge field deviation, and achieve the effect of ensuring field relevance, improving efficiency, and solving field deviation

Active Publication Date: 2013-09-25
PEKING UNIV
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  • Abstract
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Problems solved by technology

[0005] The present invention provides a classification knowledge acquisition method and device to solve the problem of deviation in the acquired classification knowledge field and improve the efficiency of the acquired classification knowledge

Method used

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  • Classified knowledge acquiring method and device

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Embodiment Construction

[0021] figure 1 This is a schematic flowchart of Embodiment 1 of the method for acquiring classified knowledge of the present invention. The execution subject of this embodiment can be various types of terminal devices such as mobile phones, personal computers (PC), and tablet computers (PAD). It can be a module with data processing functions in various terminal devices, such as a central processing unit (Central Processing Unit, hereinafter referred to as CPU). Such as figure 1 As shown, the method of this embodiment includes:

[0022] S101: Search the original seed term to obtain the first relevant text.

[0023] For example, if you want to obtain the classification knowledge of "programming language", the original seed term is "programming language", and the inputted "programming language" is received, and the search is performed according to the "programming language". Searching on a certain search engine on the Internet can also be a search in an existing database. In short, ...

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Abstract

The invention provides a classified knowledge acquiring method and device. First correlation vocabulary is acquired from a first relevant text by acquiring the first correlation text of original seed terms, a second relevant text is obtained by searching for the first correlation vocabulary, the second relevant text is screened according to the field of the original seed terms to obtain a first subset in the second relevant text and matched with the field, whether relevancy of the first subset and the field of the original seed terms reaches the preset value is judged, namely the field relevancy of the first correlation vocabulary used for acquiring the second relevant text is judged, and the classified knowledge of the original seed terms is acquired based on a judging result. Therefore, the field relevancy of the acquired classified knowledge can be acquired. The method and device solves the problem of field deviation of the acquired classified knowledge, and the effective rate of the acquired classified knowledge is further improved.

Description

Technical field [0001] The present invention relates to computer technology, in particular to a method and device for acquiring classification knowledge. Background technique [0002] With the rapid development of Internet technology, people are increasingly accustomed to obtaining the information they need from the Internet. [0003] In the prior art, people usually enter a seed term, search for the seed term, obtain the relevant text of the seed term, and obtain the classification knowledge of the seed term from the relevant text. The classification knowledge is the first related vocabulary and the first related vocabulary and the seed. The classification relationship of terms, and then search for the first related vocabulary, and then obtain the related text of the first related vocabulary, and then obtain the classification knowledge of the seed term from the related text of the first related vocabulary, that is, obtain the related text of the first related vocabulary The seco...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
Inventor 李戈金芝牟力立邢雪源
Owner PEKING UNIV
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