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Automated Deduction Techniques for Classification in Concept Languages (1995)  (Make Corrections)  (7 citations)
M. Paramasivam, David A. Plaisted
Journal of Automated Reasoning



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Abstract: Mechanical theorem provers are becoming increasingly more powerful, and we believe that it is time to examine whether certain tasks that have formerly been accomplished by other means, can now be performed efficiently by a theorem prover. One such task is classification in description logic-based knowledge representation systems or Concept Language systems. Concept Language systems provide a formalism for expressing knowledge based on concepts and roles. Subsumption checking is one important... (Update)

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.... which provides evidence that resolution theorem provers can serve as reasonable and efficient inference tools for description logics [11,15]. In this paper we consider an expressive description logic, which we believe has not been considered before in the literature on...

.... translation and a combination of a first order theorem prover augmented with a finite model finder are described in [ Paramasivam and Plaisted, 1998 ] The problem of empirical investigations based on competitive testing is the difficulty in identifying the major factors having...

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BibTeX entry:   (Update)

M. Paramasivam and D. Plaisted. Automated Deduction Techniques for Classification in Description Logic Systems. J. of Automated Reasoning, 20(3), 1998. http://citeseer.ist.psu.edu/article/paramasivam95automated.html   More

@article{ paramasivam98automated,
    author = "M. Paramasivam and David A. Plaisted",
    title = "Automated Deduction Techniques for Classification in Description Logic Systems",
    journal = "Journal of Automated Reasoning",
    volume = "20",
    number = "3",
    pages = "337-364",
    year = "1998",
    url = "citeseer.ist.psu.edu/article/paramasivam95automated.html" }
Citations (may not include all citations):
322   First-Order Logic and Automated Theorem Proving (context) - Fitting - 1990
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152   Decidable reasoning in terminological knowledge representati.. - Buchheit, Donini et al. - 1993
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89   KRIS: Knowledge Representation and Inference System (context) - Baader, Hollunder - 1991
80   Argonne National Laboratory (context) - McCune, Users - 1990
70   An empirical analysis of optimization techniques for termino.. - Baader, Hollunder et al. - 1992
63   Inside the LOOM description classifier (context) - MacGregor - 1991
41   Non-Horn clause logic programming without contrapositives (context) - Plaisted - 1988
40   The CLASSIC knowledge representation system: Guiding princip.. (context) - Patel-Schneider, McGuiness et al. - 1991
14   Personal Communication (context) - Zhang
11   German Research Center for Artificial Intelligence (context) - Hollunder, Nutt et al. - 1990
11   The BACK system --- an overview (context) - Petalson - 1991
9   User's Manual (context) - Chu - 1994
8   Eliminating duplication with the hyper-linking strategy (context) - Lee, Plaisted - 1992
7   Lecture Notes in Artificial Intelligence (context) - Fermuller, Leitsch et al. - 1993
6   CLIN: An Automated Reasoning System Using Clause Linking (context) - Lee - 1990
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4   Generating unit consequences of a ground clause set (context) - Chu, Plaisted - 1992
4   An emperical analysis of terminological representation syste.. (context) - Heinsohn, Kudenko et al. - 1992
4   An overview of the KL-ONE knoweldge representation system (context) - Brachman, Schmolze - 1985
4   Theorem Proving and Semantic Trees (context) - Plaisted - 1976



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