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dc.contributor.author Meditskos, Georgios
dc.contributor.author Dasiopoulou, Stamatia
dc.contributor.author Vrochidis, Stefanos
dc.contributor.author Kompatsiaris, Ioannis
dc.date.accessioned 2017-01-26T18:06:22Z
dc.date.available 2017-01-26T18:06:22Z
dc.date.issued 2016
dc.identifier.citation Meditskos G, Dasiopoulou S, Vrochidis S, Wanner L, Kompatsiaris I. Question answering over pattern-based user models. In: Fensel A, Zaveri A, Hellmann S, Pellegrini T, editors. Proceedings of the 12th International Conference on Semantic Systems; 2016 Sept. 13-14; Leipzig (Germany). New York: ACM; 2016. p. 153-60. DOI: 10.1145/2993318.2993331
dc.identifier.uri http://hdl.handle.net/10230/28003
dc.description Comunicació presentada a la 12th International Conference on Semantic Systems celebrada a Leipzig, Alemanya, del 13-14 de setembre de 2016.
dc.description.abstract In this paper we present an ontology-driven framework for natural language question analysis and answering over user models (e.g. preferences, habits and health problems of individuals) that are formally captured using ontology design patterns. Pattern-based modelling is extremely useful for capturing n-ary relations in a well-defined and axiomatised manner, but it introduces additional challenges in building NL interfaces for accessing the underlying content. This is mainly due to the encapsulation of domain semantics inside conceptual layers of abstraction (e.g. using reification or container classes) that demand flexible, context-aware approaches for query analysis and interpretation. We describe the coupling of a frame-based formalisation of natural language user utterances with a context-aware query interpretation towards question answering over pattern-based RDF knowledge bases. The proposed framework is part of a human-like socially communicative agent that acts as an intermediate between elderly migrants and care personnel, assisting the latter to solicit personal information about care recipients (e.g. medical history, care needs, preferences, routines, habits, etc.).
dc.description.sponsorship This work has been partially supported by the H2020-645012 project /KRISTINA: A Knowledge-Based Information Agent with Social Competence and Human Interaction Capabilities".
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher ACM Association for Computer Machinery
dc.relation.ispartof Fensel A, Zaveri A, Hellmann S, Pellegrini T, editors. Proceedings of the 12th International Conference on Semantic Systems; 2016 Sept. 13-14; Leipzig (Germany). New York: ACM; 2016. p. 153-60.
dc.rights © ACM, 2016. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in Proceedings of the 12th International Conference on Semantic Systems,(2016) http://doi.acm.org/10.1145/2993318.2993331
dc.title Question answering over pattern-based user models
dc.type info:eu-repo/semantics/conferenceObject
dc.identifier.doi http://dx.doi.org/10.1145/2993318.2993331
dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/645012
dc.rights.accessRights info:eu-repo/semantics/openAccess
dc.type.version info:eu-repo/semantics/acceptedVersion

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