Matches in ScholarlyData for { ?s ?p This demo builds on ATRUST, a probabilistic model of trust aimed to assist peers for query answering in semantic P2P systems. We illustrate the usage of ATRUST in a P2P bookmarking scenario where peers exchange URLs of articles about topics they are interested in. Unlike classical bookmarking systems (e.g. Delicious), in this ideal P2P bookmarking network information is no longer centralised, and peers need to query each other to gather new articles. Further, each peer uses her own taxonomy of categories for indexing URLs of articles. We highlight the gain in the quality of peers' answers ---measured with precision and recall--- when the process of query answering is guided by ATRUST. As a particular case, we show how trust overcomes homonymy. Moreover, a trust-based ranking of articles allows to distinguish the articles relevant to a category from the ones related to its homonymous categories.. }
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- 11 abstract "This demo builds on ATRUST, a probabilistic model of trust aimed to assist peers for query answering in semantic P2P systems. We illustrate the usage of ATRUST in a P2P bookmarking scenario where peers exchange URLs of articles about topics they are interested in. Unlike classical bookmarking systems (e.g. Delicious), in this ideal P2P bookmarking network information is no longer centralised, and peers need to query each other to gather new articles. Further, each peer uses her own taxonomy of categories for indexing URLs of articles. We highlight the gain in the quality of peers' answers ---measured with precision and recall--- when the process of query answering is guided by ATRUST. As a particular case, we show how trust overcomes homonymy. Moreover, a trust-based ranking of articles allows to distinguish the articles relevant to a category from the ones related to its homonymous categories.".