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Privacy-Preserving Reasoning on the Semantic Web (Poster)
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![Incomplete knowledge Center for Computational Intelligence, Learning, and Discovery Artificial Intelligence Research Laboratory Department of Computer Science Acknowledgements : This work is supported in part by grants from the National Science Foundation (IIS-0639230). Privacy-Preserving Reasoning on the Semantic Web Jie Bao, Giora Slutzki, and Vasant Honavar 3- Concrete Strategies 2 – General Strategy Highlights : ,[object Object],[object Object],1 – Problem Description ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Locally visible : Has date Query: Has date? Answer : Unknown Query: Has travel? Answer: Unknown Query: Busy (has activity)? Answer : Yes Hidden knowledge ,[object Object],[object Object],[object Object],[object Object],[object Object],EXAMPLE : a calendar ontology FOR HIERARCHIES : FOR DESCRIPTION LOGICS (AND OWL) : Reasoning Strategy : Safety Scope : “ safe” graph “ unsafe” graph Basic idea : Problem reduces to graph reachability analysis Basic idea : Ensure that answers to queries will NOT give knowledge beyond Critical visible knowledge (i.e., K v about the signature of K h .) K h K v Critical visible knowledge K vc C ⊑ D C ⊑ R. D G ⊑ H ,[object Object],Reference: Bao, J., Slutzki, G., and Honavar, V. (2007). Privacy-Preserving Reasoning on the Semantic Web . In Web Intelligence 2007. a b c d e a b c d e](https://image.slidesharecdn.com/2007-12-01portlandposter-100706174116-phpapp01/85/Privacy-Preserving-Reasoning-on-the-Semantic-Web-Poster-1-320.jpg)
