Article

Case-Based reasoning within semantic web technologies

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AIMSA'06: Proceedings of the 12th international conference on Artificial Intelligence: methodology, Systems, and Applications

Pages 190 - 200

https://doi.org/10.1007/11861461_21

Published: 12 September 2006 Publication History

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Abstract

The semantic Web relies on the publication of formally represented knowledge (ontologies), retrieved and manipulated by software agents using reasoning mechanisms. OWL (Web Ontology Language), the knowledge representation language of the semantic Web, has been designed on the basis of description logics, for the use of deductive mechanisms such as classification and instantiation. Case-Based reasoning is a reasoning paradigm that relies on the reuse of cases stored in a case base. This reuse is usually performed by the adaptation of the solution of previously solved problems, retrieved from the case base, thanks to analogical reasoning. This article is about the integration of case-based reasoning into the semantic Web technologies, addressing the issue of analogical reasoning on the semantic Web. In particular, we show how OWL is extended for the representation of adaptation knowledge, and how the retrieval and adaptation steps of case-based reasoning are implemented on the basis of OWL reasoning.

References

[1]

Lenz, M., Bartsch-Spörl, B., Burkhard, H.D., Wess, S., eds.: Case-Based Reasoning Technology: From Foundations to Applications, LNAI 1400. Springer (1998)

Digital Library

Google Scholar

[2]

Bechhofer, S., van Harmelen, F., Hendler, J., Horrocks, I., McGuinness, D., Patel-Schneider, P., Stein, L.A.: OWL Web Ontology Language Reference. W3C Recommendation (2004)

Google Scholar

[3]

d'Aquin, M., Brachais, S., Bouthier, C., Lieber, J., Napoli, A.: Knowledge Editing and Maintenance Tools for a Semantic Portal in Oncology. International Journal of Human-Computer Studies (IJHCS) 62 (2005)

Digital Library

Google Scholar

[4]

Lieber, J., Bresson, B.: Case-Based Reasoning for Breast Cancer Treatment Decision Helping. (In: Proc. of the Fifth European Workshop on Case-Based Reasoning - EWCBR'2000)

Digital Library

Google Scholar

[5]

Aamodt, A.: Knowledge-Intensive Case-Based Reasoning and Sustained Learning. In Aiello, L.C., ed.: Proc. of the 9th European Conference on Artificial Intelligence. (1990)

Google Scholar

[6]

Melis, E., Lieber, J., Napoli, A.: Reformulation in Case-Based Reasoning. In Smyth, B., Cunningham, P., eds.: Proc. of the European Workshop on Case-Based Reasoning, EWCBR'98, Springer (1998) 172-183

Digital Library

Google Scholar

[7]

Smyth, B.: Case-Based Design. PhD. thesis, Trinity College, University of Dublin (1996)

Google Scholar

[8]

Gómez-Albarrán, M., Gonzàles-Calero, P., Díaz-Agudo, B., Fernàndez-Conde, C.: Modelling the CBR Life Cycle Using Description Logics. In Althoff, K.D., Bergamnn, R., Branting, L., eds.: Proc. of the International Conference on Case-Based Reasoning, ICCBR'99. Volume 1650 of Lecture Notes in Artificial Intelligence., Springer (1999) 147-161

Digital Library

Google Scholar

[9]

Lieber, J., Napoli, A.: Using classification in case-based planning. In: Proc. of the 12th European Conference on Artificial Intelligence. (1996) 132-136

Google Scholar

[10]

Coyle, L., Doyle, D., Cunningham, P.: Representing Similarity for CBR in XML. In: Procs. of the Seventh European Conference on, LNAI 3155. (2004) 119-127

Google Scholar

[11]

Chen, H.,Wu, Z.: CaseML: a RDF-based CaseMarkup Language for Case-based Reasoning in Semantic Web. In: From structured cases to unstructured problem solving episodes for experience-based assistance. Workshop at ICCBR-2003. (2003)

Google Scholar

[12]

Hanney, K., Keane, M.: Learning Adaptation Rules from Cases. In Smith, I., Falting, B., eds.: Proc. of the 3rd European Workshop on Case-Based Reasoning, EWCBR-96. Volume 1168 of LNAI., Springer (1996)

Digital Library

Google Scholar

[13]

Lieber, J., d'Aquin, M., Bey, P., Napoli, A., Rios, M., Sauvagnac, C.: Acquisition of Adaptation Knowledge for Breast Cancer Treatment Decision Support. In: Proc. of the 9th Conference on Artificial Intelligence in Medicine in Europe, AIME 2003. (2003)

Google Scholar

[14]

d'Aquin, M., Badra, F., Lafrogne, S., Lieber, J., Napoli, A., Szathmary, L.: Adaptation Knowledge Discovery from a Case Base. In: Proc. of the poster session of the European Conference on Artificial Intelligence (to appear). (2006)

Digital Library

Google Scholar

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Masmoudi MBen Abdallah Ben Lamine SKarray MArchimede BBaazaoui Zghal H(2024)Semantic Data Integration and Querying: A Survey and ChallengesACM Computing Surveys10.1145/365331756:8(1-35)Online publication date: 26-Apr-2024
https://dl.acm.org/doi/10.1145/3653317
Su CHuang SLi Y(2018)Case Based Reasoning Driven Ontological Intelligent Health Projection SystemProceedings of the 2nd International Conference on Medical and Health Informatics10.1145/3239438.3239470(185-194)Online publication date: 8-Jun-2018
https://dl.acm.org/doi/10.1145/3239438.3239470

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Published In

AIMSA'06: Proceedings of the 12th international conference on Artificial Intelligence: methodology, Systems, and Applications

September 2006

289 pages

ISBN:3540409300

Editors:
Jérôme Euzenat
INRIA Rhône-Alpes & LIG, 655 Avenue de l′Europe, Montbonnot Saint-Martin, France
,
John Domingue
Knowledge Media Institute, The Open University, Walton Hall, Milton Keynes, United Kingdom

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Berlin, Heidelberg

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Published: 12 September 2006

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Masmoudi MBen Abdallah Ben Lamine SKarray MArchimede BBaazaoui Zghal H(2024)Semantic Data Integration and Querying: A Survey and ChallengesACM Computing Surveys10.1145/365331756:8(1-35)Online publication date: 26-Apr-2024
https://dl.acm.org/doi/10.1145/3653317
Su CHuang SLi Y(2018)Case Based Reasoning Driven Ontological Intelligent Health Projection SystemProceedings of the 2nd International Conference on Medical and Health Informatics10.1145/3239438.3239470(185-194)Online publication date: 8-Jun-2018
https://dl.acm.org/doi/10.1145/3239438.3239470

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Semantic search using modular ontology learning and case-based reasoning

An ontology in OWL for legal case-based reasoning

Semantic Matchmaking of Web Resources with Local Closed-World Reasoning

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