Abductive Conjunctive Query Answering w.r.t. Ontologies

被引：1
作者：
Möller R. [1 ]
Özçep Ö. [1 ]
Haarslev V. [2 ]
Nafissi A. [3 ]
Wessel M. [4 ]
机构：
[1] University of Lübeck, Lübeck
[2] Concordia University, Montreal
[3] Forschungszentrum Jülich, Düren
[4] Hamburg University of Technology, Hamburg
来源：
KI - Künstliche Intelligenz | 2016年 / 30卷 / 2期
关键词：
Abduction; Description logics; Query answering;
D O I：
10.1007/s13218-015-0399-3
中图分类号：
学科分类号：
摘要：
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. © 2015, Springer-Verlag Berlin Heidelberg.
引用
收藏
页码：177 / 182
页数：5
相关论文
共 25 条
  • [1] Kakas A., Kowalski R., Toni F., Abductive logic programming, J Logic Comput, 2, 6, pp. 239-770, (1993)
  • [2] Gaasterland T., Godfrey P., Minker J., Relaxation as a platform for cooperative answering, J Intell Inf Syst, 1, pp. 293-321, (1992)
  • [3] Shanahan M., Perception as abduction: turning sensor data into meaningful representation, Cognit Sci, 29, 1, pp. 103-134, (2005)
  • [4] Petasis G., Moller R., Karkaletsis V., Boemie: Reasoning-based information extraction, Proceedings of the 1St Workshop on Natural Language Processing and Automated Reasoning Co-Located with 12Th International Conference on Logic Programming and Nonmonotonic Reasoning (LPNMR 2013), pp. 60-75, (2013)
  • [5] Haarslev V., Hidde K., Moller R., Wessel M., The RacerPro knowledge representation and reasoning system, Seman Web J, 3, 3, pp. 267-277, (2012)
  • [6] Espinosa S., Kaya A., Moller R., The BOEMIE semantic browser: A semantic application exploiting rich semantic metadata, Proceedings of the Applications of Semantic Technologies Workshop (AST-2009), (2009)
  • [7] Lenat D.B., Feigenbaum E.A., On the thresholds of knowledge, Artif Intell, 47, 1-3, pp. 185-250, (1991)
  • [8] Denecker M., Kakas A.C., Abduction in logic programming, Computational Logic: Logic Programming and Beyond, Essays in Honour of Robert A. Kowalski, Part I. Lecture Notes in Computer Science, 2407, pp. 402-436, (2002)
  • [9] Moller R., Neumann B., Ontology-based reasoning techniques for multimedia interpretation and retrieval, Semantic Multimedia and Ontologies: Theory and Applications, pp. 55-98, (2008)
  • [10] Espinosa Peraldi S., Kaya A., Melzer S., Moller R., On ontology based abduction for text interpretation, Proceedings of 9Th International Conference on Intelligent Text Processing and Computational Linguistics (Cicling-2008), (2008)
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