1 Iowa State University Department of Computer Science Artificial Intelligence Research Laboratory Representing and Reasoning with Modular Ontologies Jie Bao and Vasant G Honavar 1 Artificial Intelligence Research Laboratory, Department of Computer Science, Iowa State University, Ames, IA 50011-1040, USA. {baojie, honavar}@cs.iastate.edu AAAI 2006 Fall Symposium on Semantic Web for Collaborative Knowledge Acquisition (SweCka 2006), October 13-15 2006, Hyatt Crystal City, Arlington, VA, USA
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Representing and Reasoning with Modular Ontologies
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Iowa State University Department of Computer ScienceArtificial Intelligence Research Laboratory
Representing and Reasoning with Modular Ontologies
Jie Bao and Vasant G Honavar
1Artificial Intelligence Research Laboratory, Department of Computer Science,
Iowa State University, Ames, IA 50011-1040, USA.
{baojie, honavar}@cs.iastate.edu
AAAI 2006 Fall Symposium on Semantic Web for Collaborative Knowledge Acquisition (SweCka 2006), October 13-15 2006, Hyatt Crystal City, Arlington, VA, USA
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Iowa State University Department of Computer ScienceArtificial Intelligence Research Laboratory
Outline
• The need for modular ontologies
• Representing and reasoning with modularity
• Representing and reasoning with hidden knowledge
• Related work and Conclusions
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Iowa State University Department of Computer ScienceArtificial Intelligence Research Laboratory
Modularity
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Iowa State University Department of Computer ScienceArtificial Intelligence Research Laboratory
The Need for Modular Ontologies(MO)• Modularity
– A large ontology usually contains components covering sub-domains of the domain in question.
– Ontologies need fine-grained organizational structure to enable partial reuse.
– Ontologies on the semantic web are distributed and connected to each other.
• Selective Knowledge Hiding– Ontology modules are usually autonomous– Security, Privacy, Copyright concerns.
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Iowa State University Department of Computer ScienceArtificial Intelligence Research Laboratory
• Knowledge Hiding– Encryption of ontology (Giereth 2005)– Access control (Godik & Moses 2002)
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Iowa State University Department of Computer ScienceArtificial Intelligence Research Laboratory
More DetailsP-DL Syntax and Semantics• Bao, J.; Caragea, D.; and Honavar, V. (2006) Towards collaborative
environments for ontology construction and sharing. In International Symposium on Collaborative Technologies and Systems (CTS 2006). IEEE Press. 99–108.
• Bao, J.; Caragea, D.; and Honavar, V.(2006) Modular ontologies - a formal investigation of semantics and expressivity. In R. Mizoguchi, Z. Shi, and F. Giunchiglia (Eds.): Asian Semantic Web Conference 2006, LNCS 4185, 616–631.
• Bao, J.; Caragea, D.; and Honavar, V. (2006) On the semantics of linking and importing in modular ontologies. In I. Cruz et al. (Eds.): ISWC 2006, LNCS 4273. 72–86.
P-DL Reasoning• Bao, J.; Caragea, D.; and Honavar, V. (2006) A tableau-based
federated reasoning algorithm for modular ontologies. Accepted by 2006 IEEE/WIC/ACM International Conference on Web Intelligence (In Press).
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Iowa State University Department of Computer ScienceArtificial Intelligence Research Laboratory