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Using a Dialogue Manager to Improve Semantic Web Search
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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: 18
Source title:
Information Retrieval and Management: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-5225-5191-1.ch050
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Abstract
Question Answering systems that resort to the Semantic Web as a knowledge base can go well beyond the usual matching words in documents and, preferably, find a precise answer, without requiring user help to interpret the documents returned. In this paper, the authors introduce a Dialogue Manager that, through 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 authors' system performance is evaluated by comparing with similar question answering systems. Although the test suite is slight dimension, the results obtained are very promising.
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