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Semantic Web Search Through Natural Language Dialogues

Semantic Web Search Through Natural Language Dialogues

Dora Melo, Irene Pimenta Rodrigues, Vitor Beires Nogueira
Copyright: © 2018 |Pages: 21
ISBN13: 9781522550426|ISBN10: 1522550429|EISBN13: 9781522550433
DOI: 10.4018/978-1-5225-5042-6.ch012
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MLA

Melo, Dora, et al. "Semantic Web Search Through Natural Language Dialogues." Innovations, Developments, and Applications of Semantic Web and Information Systems, edited by Miltiadis D. Lytras, et al., IGI Global, 2018, pp. 329-349. https://doi.org/10.4018/978-1-5225-5042-6.ch012

APA

Melo, D., Rodrigues, I. P., & Nogueira, V. B. (2018). Semantic Web Search Through Natural Language Dialogues. In M. Lytras, N. Aljohani, E. Damiani, & K. Chui (Eds.), Innovations, Developments, and Applications of Semantic Web and Information Systems (pp. 329-349). IGI Global. https://doi.org/10.4018/978-1-5225-5042-6.ch012

Chicago

Melo, Dora, Irene Pimenta Rodrigues, and Vitor Beires Nogueira. "Semantic Web Search Through Natural Language Dialogues." In Innovations, Developments, and Applications of Semantic Web and Information Systems, edited by Miltiadis D. Lytras, et al., 329-349. Hershey, PA: IGI Global, 2018. https://doi.org/10.4018/978-1-5225-5042-6.ch012

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Abstract

The Semantic Web as a knowledge base gives to the Question Answering systems the capabilities needed to go well beyond the usual word matching in the documents and find a more accurate answer, without needing the user intervention to interpret the documents returned. In this chapter, the authors introduce a Dialogue Manager that, throughout the analysis of the question and the type of expected answer, provides accurate answers to the questions posed in Natural Language. The Dialogue Manager not only represents the semantics of the questions but also represents the structure of the discourse, including the user intentions and the questions' context, adding the ability to deal with multiple answers and providing justified answers. The system performance is evaluated by comparing with similar question answering systems. Although the test suite is of small dimension, the results obtained are very promising.

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