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    AuthorTitleYearJournal/ProceedingsReftypeDOI/URL
    Elsenbroich, C., Kutz, O. & Sattler, U. A case for abductive reasoning over ontologies

    [Abstract] [BibTeX]

    		 2006
    Vol. 216Proceedings of the OWLED*06 Workshop on OWL: Experiences and Directions     		 inproceedings URL 
    Abstract: We argue for the usefulness of abductive reasoning in the context of ontologies. We discuss several applicaton scenarios in which various forms of abduction would be useful, introduce corresponding abductive reasoning tasks, give examples, and begin to develop the formal apparatus needed to employ abductive inference in expressive description logics.
    BibTeX: 
    @inproceedings{elsenbroich2006abductive,
  author = {Elsenbroich, Corinna and Kutz, Oliver and Sattler, Ulrike},
  title = {A case for abductive reasoning over ontologies},
  booktitle = {Proceedings of the OWLED*06 Workshop on OWL: Experiences and Directions},
  year = {2006},
  volume = {216},
  url = {http://www.cs.man.ac.uk/~okutz/case-for-abduction.pdf}
}
    Holzer, M., Hörnlein, A., Atzmueller, M., Singer, R., Schlott, S., Leven, F.-J., Puppe, F. & Fischer, M.R. Interoperability of Case-Based Training Systems in Medicine: The CASEPORT Approach

    [BibTeX]

    		 2005 Proc. 9th Workshop of the GMDS AG  inproceedings  
    BibTeX: 
    @inproceedings{HHASSLPF:05,
  author = {Holzer, Matthias and Hörnlein, Alexander and Atzmueller, Martin and Singer, Rainer and Schlott, Stefan and Leven, Franz-Josef and Puppe, Frank and Fischer, Martin R.},
  title = {Interoperability of Case-Based Training Systems in Medicine: The CASEPORT Approach},
  booktitle = {Proc. 9th Workshop of the GMDS AG},
  publisher = {Quintessenz Verlags-GmbH},
  year = {2005}
}
    Atzmueller, M., Shi, W., Baumeister, J., Puppe, F. & Barnden, J.A. Case-Based Approaches for Diagnosing Multiple Disorders

    [BibTeX]

    		 2004 Proc. 17th Intl. Florida Artificial Intelligence Research Society Conference 2004 (FLAIRS-2004), pp. 154-159  inproceedings  
    BibTeX: 
    @inproceedings{ASBPB:04,
  author = {Atzmueller, Martin and Shi, Wenqi and Baumeister, Joachim and Puppe, Frank and Barnden, John A.},
  title = {Case-Based Approaches for Diagnosing Multiple Disorders},
  booktitle = {Proc. 17th Intl. Florida Artificial Intelligence Research Society Conference 2004 (FLAIRS-2004)},
  publisher = {AAAI Press},
  year = {2004},
  pages = {154--159}
}
    Holzer, M., Singer, R., Schlott, S., Hörnlein, A. & Atzmueller, M. Erfahrungen mit der Entwicklung des CASEPORT-Lernportals

    [BibTeX]

    		 2004 Proc. 8th Workshop of the GMDS AG  inproceedings  
    BibTeX: 
    @inproceedings{HSSHA:04,
  author = {Holzer, Matthias and Singer, Rainer and Schlott, Stefan and Hörnlein, Alexander and Atzmueller, Martin},
  title = {Erfahrungen mit der Entwicklung des CASEPORT-Lernportals},
  booktitle = {Proc. 8th Workshop of the GMDS AG},
  publisher = {Shaker Verlag},
  year = {2004}
}
    Atzmueller, M., Baumeister, J. & Puppe, F. Evaluation of two Strategies for Case-Based Diagnosis handling Multiple Faults

    [BibTeX]

    		 2003 Proc. 2nd Conf. Professional Knowledge Management (WM2003)  inproceedings  
    BibTeX: 
    @inproceedings{ABP:03,
  author = {Atzmueller, Martin and Baumeister, Joachim and Puppe, Frank},
  title = {Evaluation of two Strategies for Case-Based Diagnosis handling Multiple Faults},
  booktitle = {Proc. 2nd Conf. Professional Knowledge Management (WM2003)},
  year = {2003}
}
    Leake, D.B. Case-based reasoning

    [Abstract] [BibTeX]

    		 2000 Encyclopedia of Computer Science, pp. 196-197  incollection URL 
    Abstract: Case-based reasoning(CBR) is an artificial intelligence paradigm for reasoning and learning. Case-based reasoning solves new problems by retrieving stored records of prior problem-solving episodes (cases) and adapting their solutions to fit new circumstances. Each processing episode provides a new case that is stored for future reuse, making learning a natural side-effect of the reasoning process. Case-based reasoning is also studied within cognitive science as a model of human reasoning: studies show that people use recollections of prior problems to guide their reasoning in a wide range of tasks, such as programming, mathematical problem solving, diagnosis, decision making, and design.
    BibTeX: 
    @incollection{leake2000casebased,
  author = {Leake, David B.},
  title = {Case-based reasoning},
  booktitle = {Encyclopedia of Computer Science},
  publisher = {John Wiley and Sons Ltd.},
  year = {2000},
  pages = {196--197},
  edition = {4th},
  url = {http://dl.acm.org/citation.cfm?id=1074100.1074199}
}
    Meyer, B. A constraint-based framework for diagrammatic reasoning

    [BibTeX]

    		 2000 Applied Artificial Intelligence
    Vol. 14, pp. 327-344     		 article  
    BibTeX: 
    @article{Meyer2000,
  author = {Meyer, Bernd},
  title = {A constraint-based framework for diagrammatic reasoning},
  journal = {Applied Artificial Intelligence},
  year = {2000},
  volume = {14},
  pages = {327--344}
}

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