NATURAL LANGUAGE QUESTION ANSWERING SYSTEM OVER LINKED DATA
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Tarih
2019
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Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
Linked Data project is aimed to give more details on any subject through the big knowledge bases defined on the web. In thiscontext, knowledge bases offer endpoint service user interfaces to query their data. Because of the SPARQL query languagelimitation of these knowledge bases, a significant number of web users are unable to benefit from these services. In this paper,an English natural language question answering system over Linked Data is proposed in order to eliminate this limitation. Theproposed system's main processes can be listed as follows: (1) Extracting Part-Of-Speech (POS) tags, (2) pattern extraction &preparing appropriate SPARQL queries, (3) executing user queries & displaying the results. The features which are notprovided by the endpoint services of knowledge bases such as dynamic paging, voice search and answer vocalization whichmake the usage of the proposed system to be possible by the visually-impaired web users, question-answer caching, socialmedia integration, and live spell checking are proposed. According to experimental results, the proposed system’s questionanswering performance is improved between 2 and 12 times through the type of natural language question thanks to thequestion-answer caching mechanism.
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Kaynak
Eskişehir Technical University Journal of Science and and Technology A- Applied Sciences and Engineering
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Cilt
20
Sayı
3
