ADANS:一个使用本体的农业领域问答系统

2017 International Conference on Computing, Communication and Automation (ICCCA) Pub Date : 2017-05-05 DOI:10.1109/CCAA.2017.8229784

M. Devi, M. Dua

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引用次数: 28

摘要

问答(Question answer，简称QA)的研究领域被广泛探索，目的是为用自然语言提出的问题提供准确的答案。在信息的深海中，在网络上，寻找一个简洁的答案是一项相当耗时的任务。QA系统代表提问者完成这项任务。最近，随着语义网的引入，网络正朝着关联数据的方向发展。这些数据以资源描述格式(RDF)和Web本体语言(OWL)的形式提供。查询这些数据需要用SPARQL协议和RDF查询语言(SPARQL)来表示查询。本文提出了一个农业领域的问答系统——ADANS，用于回答用自然语言提出的问题。该系统结合了自然语言处理(NLP)和语义网技术。该系统从以自然语言给出的查询中形成SPARQL。系统的查询放松部分有助于在可接受的时间内检索一些不太精确的答案。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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ADANS: An agriculture domain question answering system using ontologies

The research area of Question Answering (QA) is explored widely to provide an accurate answer to questions asked in natural languages. In the deep ocean of information, the Web, searching for a concise answer is quite a time taking task. The QA system does this task on behalf of the questioner. Recently with the introduction of the semantic web, the web is progressing towards linked data. This data is available in the form of Resource Description Format(RDF) and Web Ontology Language(OWL). Querying this data requires the query to be expressed in SPARQL Protocol and RDF Query Language(SPARQL). This paper presents a QA system on agriculture domain, the ADANS, to answer queries given in natural language. The system uses a combination of Natural Language Processing(NLP) and semantic web technologies. The system formulates an SPARQL from the queries given in natural language. The query loosening part of the system helps in retrieving some less precise answers in acceptable time.

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2017 International Conference on Computing, Communication and Automation (ICCCA)

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