Abstract
P2PShare is a P2P system for large-scale probabilistic data sharing that leverages content-based and expert-based recommendation. It is designed to manage probabilistic and deterministic data in P2P environments. It provides a flexible environment for integration of heterogeneous sources, and takes into account the social based aspects to discover high quality results for queries by privileging the data of friends (or friends of friends), who are expert on the topics related to the query. We have implemented a prototype of P2PShare using the Shared-Data Overlay Network (SON), an open source development platform for P2P networks using web services, JXTA and OSGi. In this paper, we describe the demo of P2PShare's main services, e.g., gossiping topics of interest among friends, key- word querying for contents, and probabilistic queries over datasets.