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Unsupervised automatic Q&A method based on semantic web

An automatic question answering and semantic web technology, applied in the fields of instrumentation, computing, electrical digital data processing, etc., can solve the problems of enhanced heterogeneity, rapid growth, and large amount of semantic web data, achieving low cost, easy reproduction, and easy Get and build effects

Active Publication Date: 2015-09-23
EAST CHINA NORMAL UNIV
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AI Technical Summary

Problems solved by technology

(2) Semantic Web has a large amount of data, fast growth, and enhanced heterogeneity; existing methods need to be continuously improved to cope with the growing heterogeneous knowledge data

Method used

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  • Unsupervised automatic Q&A method based on semantic web

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Embodiment

[0024] The present invention needs to be implemented on the data based on the Semantic Web. Firstly, by performing synonym conversion and stemming on user questions, and using the data inside the Semantic Web resources to perform triple extraction, and find the most relevant entities and entities in the Semantic Web data. attribute, generate the corresponding SPARQL statement query, and finally perform the query on the user terminal that supports the Semantic Web. The specific operation steps are as follows:

[0025] For the question: "What are the French restaurants in Beijing?"

[0026] Using the Protégé tool and the collated restaurant data to build, the Semantic Web database restaurant.owl data file.

[0027] The Owl snippet is as follows:

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Abstract

The invention discloses a unsupervised automatic Q&A method based on a semantic web. The method needs to realize based on data on the semantic web, and comprises the following steps: firstly performing transformation of synonymous sentences and stemming on a user question, performing triple extraction on the data in a semantic web resource, and finding the most relevant entity and attribute in the semantic web data to generate a corresponding SPARQL statement to query, finally querying in a user terminal supporting the semantic web. The automatic Q&A method disclosed by the invention is an implementation scheme of the automatic Q&A based on the semantic web, the complex training prediction and complex semantic analysis are unnecessary, the Q&A can be performed on a cross-domain semantic web knowledge base through the self-learning of the files in the semantic web and the transformation of synonymous sentences using a synonym thesaurus; the method is objective and practicable, and capable of answering complex knowledge problem in comparison with the traditional Q&A method.

Description

technical field [0001] The invention relates to the technical field of automatic question answering (QA), in particular to an unsupervised automatic question answering method based on semantic web. Background technique [0002] Internet data is growing rapidly, and now there are many knowledge bases based on the Semantic Web (such as DBpedia, Freebase, Yoga). Improving the quality and quantity of these data is extremely important for the leapfrog development of the Internet to the Semantic Web. Similarly, with the continuous improvement of Semantic Web data, how to query and use the Semantic Web friendly has become the focus of research. Providing a user-friendly natural language interface is the key to solving the problem of querying the Semantic Web. The introduction of Semantic Web technology for automatic question answering does not rely on a single algorithm, but is completed through a series of technical integration. The existing Semantic Web standards provide netwo...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/27G06F17/30
Inventor 杨燕杜泽宇贺樑
Owner EAST CHINA NORMAL UNIV
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