Abductive Conjunctive Query Answering w.r.t. Ontologies

Ralf Möller; Özgür L. Özcep; Volker Haarslev; Anahita Nafissi; Michael Wessel

doi:10.1007/s13218-015-0399-3

Abductive Conjunctive Query Answering w.r.t. Ontologies

Ralf Möller, Özgür L. Özcep, Volker Haarslev, Anahita Nafissi, Michael Wessel

Institute of Information Systems

1 Citation (Scopus)

Abstract

In this article we investigate abductive conjunctive query answering w.r.t. ontologies and show how use cases can benefit from this kind of query answering service. While practical reasoning systems such as Racer have supported abductive conjunctive query answering for 10 years now, and many projects have exploited this feature, few publications deal with A-box abduction from an implementation perspective. This article gives a generalized overview on features provided by practical systems and also explains optimization techniques needed to meet practical requirements.

Original language	English
Journal	KI - Künstliche Intelligenz
Volume	30
Issue number	2
Pages (from-to)	177-182
Number of pages	6
ISSN	1610-1987
DOIs	https://doi.org/10.1007/s13218-015-0399-3
Publication status	Published - 13.10.2016

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This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being
SDG 9 Industry, Innovation, and Infrastructure

DFG Research Classification Scheme

409-06 Information Systems, Process and Knowledge Management
4.43-05 Image and Language Processing, Computer Graphics and Visualisation, Human Computer Interaction, Ubiquitous and Wearable Computing

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10.1007/s13218-015-0399-3

https://www.ifis.uni-luebeck.de/uploads/tx_wapublications/KI-Abductive-QA-2016-Moeller-et-al.pdf

Cite this

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AU - Wessel, Michael

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Abductive Conjunctive Query Answering w.r.t. Ontologies

Abstract

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