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Enhancing Semantic Web Relationships Through Trust and Provenance Information

This project, led by Amit Sheth from the University of Georgia and Anupam Joshi from UMBC, aims to design and evaluate a system for indexing and querying complex semantic relationships in the Semantic Web. The proposed system will leverage trust and provenance information to enhance the discovery of semantic relationships. Our goal is to provide a robust platform to facilitate the exploration of these relationships, ultimately supporting more reliable and effective semantic web applications.

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Enhancing Semantic Web Relationships Through Trust and Provenance Information

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  1. SEMDIS NSF award ITR-IIS-xxxyyyzzz Univ of Georgia, Amit Sheth, PI UMBC, Anupam Joshi, PI Objective Focus on the design, prototyping & evaluation of a system that supports indexing and querying of complex semantic relationships in Semantic Web. The system will maintain and utilize trust and provenance information to enhance the semantic relationship discovery. Approach Now is the time for all good men to come to the aid of the country. Now is the time for all good men to come to the aid of the country. Semantic Discovery: Discovering Com-plex Relationships in Semantic Web Broader impacts Now is the time for all good men to come to the aid of the country. Now is the time for all good men to come to the aid of the country. Put some images with captions and or bulleted lists in the bottom half of the slide. See Some of the other posters (e.g. Swoogle, SPIRE) On ebiquity.umbc.edu for insiration. June 2004

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