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179
Description of the RACER System and its Applications
, 2001
"... RACER implements a TBox and ABox reasoner for the logic ..."
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Cited by 113 (5 self)
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RACER implements a TBox and ABox reasoner for the logic
Embedding Defaults into Terminological Knowledge Representation Formalisms
- Journal of Automated Reasoning
, 1995
"... We consider the problem of integrating Reiter's default logic into terminological representation systems. It turns out that such an integration is less straightforward than we expected, considering the fact that the terminological language is a decidable sublanguage of first-order logic. Semanticall ..."
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Cited by 112 (5 self)
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We consider the problem of integrating Reiter's default logic into terminological representation systems. It turns out that such an integration is less straightforward than we expected, considering the fact that the terminological language is a decidable sublanguage of first-order logic. Semantically, one has the unpleasant effect that the consequences of a terminological default theory may be rather unintuitive, and may even vary with the syntactic structure of equivalent concept expressions. This is due to the unsatisfactory treatment of open defaults via Skolemization in Reiter's semantics. On the algorithmic side, we show that this treatment may lead to an undecidable default consequence relation, even though our base language is decidable, and we have only finitely many (open) defaults. Because of these problems, we then consider a restricted semantics for open defaults in our terminological default theories: default rules are only applied to individuals that are explicitly presen...
Description Logics as Ontology Languages for the Semantic Web
- Festschrift in honor of Jörg Siekmann, Lecture Notes in Artificial Intelligence
, 2003
"... The vision of a Semantic Web has recently drawn considerable attention, both from academia and industry. Description logics are often named as one of the tools that can support the Semantic Web and thus help to make this vision reality. ..."
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Cited by 107 (5 self)
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The vision of a Semantic Web has recently drawn considerable attention, both from academia and industry. Description logics are often named as one of the tools that can support the Semantic Web and thus help to make this vision reality.
A tableaux decision procedure for SHOIQ
- In Proc. of the 19th Int. Joint Conf. on Artificial Intelligence (IJCAI
, 2005
"... OWL DL, a new W3C ontology language recommendation, is based on the expressive description logic SHOIN. Although the ontology consistency problem for SHOIN is known to be decidable, up to now there has been no known “practical ” decision procedure, i.e., a goal directed procedure that is likely to p ..."
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Cited by 100 (23 self)
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OWL DL, a new W3C ontology language recommendation, is based on the expressive description logic SHOIN. Although the ontology consistency problem for SHOIN is known to be decidable, up to now there has been no known “practical ” decision procedure, i.e., a goal directed procedure that is likely to perform well with realistic ontology derived problems. We present such a decision procedure (for SHOIQ, a slightly more expressive logic than SHOIN), extending the well known algorithm for SHIQ,
Fuzzy Description Logics and the Semantic Web
, 2005
"... nd (universal child.Human 7 . is given in terms of an the domain (a non-empty set) an interpretation function that maps: (class) a (property) a an element of Interpretation extended to concept expressions: = = = = ..."
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Cited by 96 (22 self)
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nd (universal child.Human 7 . is given in terms of an the domain (a non-empty set) an interpretation function that maps: (class) a (property) a an element of Interpretation extended to concept expressions: = = = = = \ = {x = {x 8 and . mapping to FOL: introduce unary an atomic binary a . Translate follows x) = x) = false t(A, x) ## A(x) x) = x) x) ## x) t(C, x) = t(#R.C, x) = y) t(#R.C, x) = 9 Knowledge . DL Knowledge Base is a A#, a TBox containing general inclusion axioms of the ("concept C"), i# definitions are of the (equiv A) concept definitions are of the Sometimes, a TBox can contain primitive and concept definitions only, where no atom can be defined more than once and no recursion is allowed complexity changes dramatically a ABox containing assertions of the
A Terminological Knowledge Representation System with Complete Inference Algorithms
- In Proceedings of the First International Workshop on Processing Declarative Knowledge
, 1991
"... The knowledge representation system kl-one rst appeared in 1977. Since then many systems based on the idea of kl-one have been built. The formal model-theoretic semantics which has been introduced for kl-one languages [BL84] provides means for investigating soundness and completeness of inference al ..."
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Cited by 93 (18 self)
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The knowledge representation system kl-one rst appeared in 1977. Since then many systems based on the idea of kl-one have been built. The formal model-theoretic semantics which has been introduced for kl-one languages [BL84] provides means for investigating soundness and completeness of inference algorithms. It turned out that almost all implemented kl-one systems such as back, kl-two, loom, nikl, sb-one use sound but incomplete algorithms.
Description Logics for the Semantic Web
- IEEE Data Engineering Bulletin
, 2001
"... The vision of a Semantic Web has recently drawn considerable attention, both from academia and industry. Description Logics are often named as one of the tools that can support the Semantic Web and thus help to make this vision reality. ..."
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Cited by 86 (8 self)
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The vision of a Semantic Web has recently drawn considerable attention, both from academia and industry. Description Logics are often named as one of the tools that can support the Semantic Web and thus help to make this vision reality.
E-connections of abstract description systems
"... Combining knowledge representation and reasoning formalisms is an important and challenging task. It is important because non-trivial AI applications often comprise different aspects of the world, thus requiring suitable combinations of available formalisms modeling each of these aspects. It is chal ..."
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Cited by 83 (20 self)
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Combining knowledge representation and reasoning formalisms is an important and challenging task. It is important because non-trivial AI applications often comprise different aspects of the world, thus requiring suitable combinations of available formalisms modeling each of these aspects. It is challenging because the computational behavior of the resulting hybrids is often much worse than the behavior of their components. In this paper, we propose a new combination method which is computationally robust in the sense that the combination of decidable formalisms is again decidable, and which, nonetheless, allows non-trivial interactions between the combined components. The new method, called E-connection, is defined in terms of abstract description systems (ADSs), a common generalization of description logics, many logics of time and space, as well as modal and epistemic logics. The basic idea of E-connections is that the interpretation domains of n combined systems are disjoint, and that these domains are connected by means of n-ary ‘link relations. ’ We define several natural variants of E-connections and study in-depth the transfer of decidability from the component systems to their E-connections. Key words: description logics, temporal logics, spatial logics, combining logics, decidability.
Querying the Semantic Web: a Formal Approach
- Proc. of the 13th Int. Semantic Web Conf. (ISWC 2002), number 2342 in Lecture Notes in Computer Science
, 2002
"... Ontologies are set to play a key role in the Semantic Web, and several web ontology languages, like DAML+OIL, are based on DLs. ..."
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Cited by 65 (7 self)
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Ontologies are set to play a key role in the Semantic Web, and several web ontology languages, like DAML+OIL, are based on DLs.
Racer: A Core Inference Engine for the Semantic Web
, 2003
"... In this paper we describe Racer, which can be considered as a core inference engine for the semantic web. The Racer inference server o#ers two APIs that are already used by at least three di#erent network clients, i.e., the ontology editor OilEd, the visualization tool RICE, and the ontology dev ..."
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Cited by 63 (0 self)
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In this paper we describe Racer, which can be considered as a core inference engine for the semantic web. The Racer inference server o#ers two APIs that are already used by at least three di#erent network clients, i.e., the ontology editor OilEd, the visualization tool RICE, and the ontology development environment Protege 2. The Racer server supports the standard DIG protocol via HTTP and a TCP based protocol with extensive query facilities. Racer currently supports the web ontology languages DAML+OIL, RDF, and OWL.

