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Noumenon concept attribute learning method based on Web information

A technology of attribute learning and concepts, applied in ontology learning technology and the Internet field, can solve problems such as lack of generalization ability, and achieve the effect of improving accuracy

Active Publication Date: 2013-09-25
TONGJI UNIV
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AI Technical Summary

Problems solved by technology

However, the disadvantage of this method is that it is only suitable for documents with relatively fixed and complete document formats, and lacks generalization ability.

Method used

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  • Noumenon concept attribute learning method based on Web information
  • Noumenon concept attribute learning method based on Web information
  • Noumenon concept attribute learning method based on Web information

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Embodiment Construction

[0034] Such as figure 1 As shown in the model architecture diagram of , the ontology concept attribute learning method according to a specific embodiment of the present invention includes the following steps:

[0035] 1) Lexical-syntax pattern set building blocks

[0036] Mode function: The language mode set is a necessary input for Google query, so the mode set needs to be constructed first.

[0037] According to the existing natural language processing technology, a set of pattern rules based on words, parts of speech, and semantics (ie, language patterns) is constructed, and the interesting relationship in the text is identified through pattern matching. In this embodiment, a kind of language pattern——lexical-syntactic patterns (lexical-syntactic patterns) is studied. According to the existing basic language pattern set, the lexical-semantic pattern is used to construct and merge the extended pattern set of verb forms representing the inclusion relationship, and finally A...

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Abstract

The invention relates to the field of noumenon learning, in particular to a noumenon concept attribute learning method based on Web information. By means of the technical scheme, Web serves as a language database, a language pattern is built to serve as a query set of a Google search engine, webpage fragment and corresponding source website URL are extracted to build a candidate concept attribute word bank, an URL built text set of candidate works serves as LAD input, training parameters of an LDA model are obtained by adopting a Gibbs sampling method, an attribute candidate bank is trimmed and combined according to operation results of the LDA model, and a final concept attribute work set can be determined. The noumenon concept attribute learning method of Web information can accurately and effectively obtain a concept attribute set in a noumenon, and accordingly, automatic or semiautomatic body building can be possible.

Description

technical field [0001] The invention relates to the field of ontology learning technology and Internet technology, in particular to a method for learning ontology concept attributes based on Web information. Background technique [0002] Semantic Web has always been a hot area of ​​computer research, and its research focus is mainly on how to express the information in the Web in a form that can be understood and processed by machines, that is, with semantics. Ontology, as a modeling tool that can describe conceptual models at semantic and knowledge levels, is the core and key of semantic description in Semantic Web. At present, ontology has been widely used in various intelligent information processing tasks such as knowledge engineering, information retrieval, and question answering systems as an important resource to provide domain knowledge support. [0003] Ontology learning is to automatically or semi-automatically obtain desired ontology knowledge from existing data ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
Inventor 王俊丽王志成赵卫东梁梅连
Owner TONGJI UNIV
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