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  4. Qanary - the fast track to creating a question answering system with linked data technology
 
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2016
Conference Paper
Titel

Qanary - the fast track to creating a question answering system with linked data technology

Abstract
Question answering (QA) systems focus on making sense out of data via an easy-to-use interface. However, these systems are very complex and integrate a lot of technology tightly. Previously presented QA systems are mostly singular and monolithic implementations. Hence, their reusability is limited. In contrast, we follow the research agenda of establishing an ecosystem for components of QA systems, which will enable the QA community to elevate the reusability of such components and to intensify their research activities. In this paper, we present a reference implementation of the Qanary methodology for creating QA systems. Qanary relies on linked data vocabularies and provides a fast track to integrating QA components into a light-weight, message-driven, component-oriented architecture.
Author(s)
Singh, Kuldeep
Both, Andreas
Diefenbach, D.
Shekarpour, Saeedeh
Cherix, D.
Lange, Christoph orcid-logo
Hauptwerk
The semantic web. ESWC 2016 satellite events
Konferenz
European Semantic Web Conference (ESWC) 2016
Thumbnail Image
DOI
10.1007/978-3-319-47602-5_36
Language
English
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Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS
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