Using a Dialogue Manager to Improve Semantic Web Search

Using a Dialogue Manager to Improve Semantic Web Search

Dora Melo, Irene Pimenta Rodrigues, Vitor Beires Nogueira
ISBN13: 9781522551911|ISBN10: 1522551913|EISBN13: 9781522551928
DOI: 10.4018/978-1-5225-5191-1.ch050
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MLA

Melo, Dora, et al. "Using a Dialogue Manager to Improve Semantic Web Search." Information Retrieval and Management: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, IGI Global, 2018, pp. 1166-1183. https://doi.org/10.4018/978-1-5225-5191-1.ch050

APA

Melo, D., Rodrigues, I. P., & Nogueira, V. B. (2018). Using a Dialogue Manager to Improve Semantic Web Search. In I. Management Association (Ed.), Information Retrieval and Management: Concepts, Methodologies, Tools, and Applications (pp. 1166-1183). IGI Global. https://doi.org/10.4018/978-1-5225-5191-1.ch050

Chicago

Melo, Dora, Irene Pimenta Rodrigues, and Vitor Beires Nogueira. "Using a Dialogue Manager to Improve Semantic Web Search." In Information Retrieval and Management: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, 1166-1183. Hershey, PA: IGI Global, 2018. https://doi.org/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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