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

: Singh, K.; Both, A.; Diefenbach, D.; Shekarpour, S.; Cherix, D.; Lange, C.


Sack, H.:
The semantic web. ESWC 2016 satellite events : Heraklion, Crete, Greece, May 29-June 2, 2016; Revised selected papers
Cham: Springer International Publishing, 2016 (Lecture Notes in Computer Science 9989)
ISBN: 978-3-319-47601-8 (Print)
ISBN: 978-3-319-47602-5 (Online)
European Semantic Web Conference (ESWC) <13, 2016, Heraklion>
Conference Paper
Fraunhofer IAIS ()

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.