Peer-to-Peer Data Management

Karl Aberer is a full professor for Distributed Information Systems at EPFL Lausanne, Switzerland, since 2000. Since 2005 he is the director of the Swiss National Research Center for Mo[1]bile Information and Communication Systems (NCCR-MICS, mics.ch). Prior to his current position, he was senior re[1]searcher at the Integrated Publication and Information Systems institute (IPSI) of GMD in Germany. He received his Ph.D. in mathematics in 1991 from the ETH Zürich. His research interests are on semantics and self-organization in information systems with applications in peer-to-peer search, semantic web, trust management and mobile and sensor networks. He is or has been serving on the editorial boards of SIGMOD Record, VLDB Journal, ACM Transaction on Autonomous and Adaptive Systems and World Wide Web Journal and been co-chairing among others the ICDE, ISWC, MDM, ODBASE, P2P, VLDB and WISE conferences.

This lecture introduces systematically into the problem of managing large data collections in peer-to-peer systems. Search over large datasets has always been a key problem in peer-to-peer systems and the peer-to-peer paradigm has incited novel directions in the field of data management. This resulted in many novel peer-to-peer data management concepts and algorithms, for supporting data management tasks in a wider sense, including data integration, document management and text retrieval. The lecture covers four different types of peer-to-peer data management systems that are characterized by the type of data they manage and the search capabilities they support. The first type are structured peer-to-peer data management systems which support structured query capabilities for standard data models. The second type are peer-to-peer data integration systems for querying of heterogeneous databases without requiring a common global schema. The third type are peer-to-peer document retrieval systems that enable document search based both on the textual content and the document structure. Finally, we introduce semantic overlay networks, which support similarity search on information represented in hierarchically organized and multi-dimensional semantic spaces. Topics that go beyond data representation and search are summarized at the end of the lecture. Table of Contents: Introduction / Structured Peer-to-Peer Databases / Peer-to-peer Data Integration / Peer-to-peer Retrieval / Semantic Overlay Networks / Conclusion

Introduction.- Structured Peer-to-Peer Databases.- Peer-to-peer Data Integration.- Peer-to-peer Retrieval.- Semantic Overlay Networks.- Conclusion.