Representing and Reasoning with Modular Ontologies (2007)
Privacy-Preserving Reasoning Semantic Web
1. Privacy-Preserving Reasoning on the Semantic Web Jie Bao, Giora Slutzki and Vasant Honavar Department of Computer Science, Iowa State University, Ames, IA 50011-1040, USA. {baojie, slutzki, honavar}@cs.iastate.edu Web Intelligence, 2007, Jie Bao. Research Supported in part by NSF IIS 0639230
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8. Partially Hidden Knowledge Web Intelligence, 2007, Jie Bao. Research Supported in part by NSF IIS 0639230 Locally visible : Has date Query: Has date? Answer : Unknown Query: Has travel? Answer: Unknown Bob’ schedule ontology Query: Busy? Answer : Yes
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13. Example: Hierarchies Web Intelligence, 2007, Jie Bao. Research Supported in part by NSF IIS 0639230 “ safe” graph Reasoning Strategy: Safety Scope: E + -E h a b c d e a b c d e
14. Example: Hierarchies Web Intelligence, 2007, Jie Bao. Research Supported in part by NSF IIS 0639230 “ unsafe” graph Reasoning Strategy: Safety Scope: E + -E h a b c d e a b c d e ( ) +
15. Informativeness vs. Safety Scope Web Intelligence, 2007, Jie Bao. Research Supported in part by NSF IIS 0639230 Increasingly Informative Decreasing safety scope Dummy Reasoner Obvious Reasoner Safe Reasoner Naive Reasoner Gives information Safety scope
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19. Privacy-preserving reasoning with SHIQ Web Intelligence, 2007, Jie Bao. Research Supported in part by NSF IIS 0639230 Safety scope of this strategy is: Call a DL Reasoner Indistinguishable