Contextualized question answering

The paper proposes an approach to contextualized answering of questions. The contextualization is achieved by using an ontology. The answers are provided based on a domain specific document collection. The approach consists of several phases as follows: data preparation, data enhancement, data index...

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Bibliographic Details
Published inProceedings of the ITI 2010, 32nd International Conference on Information Technology Interfaces pp. 73 - 78
Main Authors Bradeško, Luka, Dali, L, Fortuna, Blaž, Grobelnik, M, Mladenić, Dunja, Novalija, I, Pajntar, Boštjan
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2010
Subjects
contextualized information retrieval
Data mining
Indexing
Natural languages
Ontologies
ontology
question answering
Semantics
Thesauri
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Summary:The paper proposes an approach to contextualized answering of questions. The contextualization is achieved by using an ontology. The answers are provided based on a domain specific document collection. The approach consists of several phases as follows: data preparation, data enhancement, data indexing and handling questions. The functioning of the proposed approach is demonstrated on English document collections on Aquatic Sciences and Fisheries - ASFA, using Cyc ontology, ASFA thesaurus as domain specific ontology and WordNet as general ontology. The approach is in general applicable to other datasets in other languages, assuming the necessary natural language processing is handled and the match between the document collection language, domain ontology language and Cyc ontology is ensured.
ISBN:9781424457328
1424457327
ISSN:1330-1012