research-article

Question Answering over Pattern-Based User Models

Authors:

Georgios Meditskos,

Stamatia Dasiopoulou,

Stefanos Vrochidis,

Ioannis KompatsiarisAuthors Info & Claims

SEMANTiCS 2016: Proceedings of the 12th International Conference on Semantic Systems

Pages 153 - 160

https://doi.org/10.1145/2993318.2993331

Published: 12 September 2016 Publication History

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.).

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Cited By

Zope BMishra SShaw KVora DKotecha KBidwe R(2022)Question Answer System: A State-of-Art Representation of Quantitative and Qualitative AnalysisBig Data and Cognitive Computing10.3390/bdcc60401096:4(109)Online publication date: 7-Oct-2022
https://doi.org/10.3390/bdcc6040109
Meditskos GKontopoulos EVrochidis SKompatsiaris I(2019)Converness: Ontology‐driven conversational awareness and context understanding in multimodal dialogue systemsExpert Systems10.1111/exsy.1237837:1Online publication date: 12-Feb-2019
https://doi.org/10.1111/exsy.12378

Question Answering over Pattern-Based User Models
1. Computing methodologies
  1. Artificial intelligence
2. Theory of computation

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cover image ACM Other conferences

SEMANTiCS 2016: Proceedings of the 12th International Conference on Semantic Systems

September 2016

207 pages

ISBN:9781450347525

DOI:10.1145/2993318

Editors:
Anna Fensel
STI Innsbruck, University of Innsbruck, Austria
,
Amrapali Zaveri
Stanford University, USA
,
Sebastian Hellmann
AKSW/KILT, Institute for Applied Informatics (InfAI), Leipzig, Germany
,
Tassilo Pellegrini
University of Applied Sciences St. Poelten, Austria

Copyright © 2016 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

In-Cooperation

Ghent University: Ghent University
AIT: Austrian Institute of Technology
Stanford University: Stanford University
Wolters Kluwer: Wolters Kluwer, Germany
Semantic Web Company: Semantic Web Company

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 12 September 2016

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SEMANTiCS 2016

SEMANTiCS 2016: 12th International Conference on Semantic Systems

September 12 - 15, 2016

Leipzig, Germany

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SEMANTiCS 2016 Paper Acceptance Rate 18 of 85 submissions, 21%;

Overall Acceptance Rate 40 of 182 submissions, 22%

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Cited By

Zope BMishra SShaw KVora DKotecha KBidwe R(2022)Question Answer System: A State-of-Art Representation of Quantitative and Qualitative AnalysisBig Data and Cognitive Computing10.3390/bdcc60401096:4(109)Online publication date: 7-Oct-2022
https://doi.org/10.3390/bdcc6040109
Meditskos GKontopoulos EVrochidis SKompatsiaris I(2019)Converness: Ontology‐driven conversational awareness and context understanding in multimodal dialogue systemsExpert Systems10.1111/exsy.1237837:1Online publication date: 12-Feb-2019
https://doi.org/10.1111/exsy.12378

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