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Semantic Web Search Through Natural Language Dialogues
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Author(s): Dora Melo (Coimbra Business School, Portugal & Laboratory of Informatics, Systems, and Parallelism (LISP), Portugal), Irene Pimenta Rodrigues (University of Évora, Portugal & Laboratory of Informatics, Systems, and Parallelism (LISP), Portugal)and Vitor Beires Nogueira (University of Évora, Portugal & Laboratory of Informatics, Systems, and Parallelism (LISP), Portugal)
Copyright: 2018
Pages: 21
Source title:
Innovations, Developments, and Applications of Semantic Web and Information Systems
Source Author(s)/Editor(s): Miltiadis D. Lytras (American College of Greece, Greece), Naif Aljohani (King Abdulaziz University, Saudi Arabia), Ernesto Damiani (University of Milan, Italy)and Kwok Tai Chui (The Open University of Hong Kong, Hong Kong)
DOI: 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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