The Piazza peer data management project

  • Authors:
  • Igor Tatarinov;Zachary Ives;Jayant Madhavan;Alon Halevy;Dan Suciu;Nilesh Dalvi;Xin (Luna) Dong;Yana Kadiyska;Gerome Miklau;Peter Mork

  • Affiliations:
  • University of Washington, Seattle, WA;University of Pennsylvania, Philadelphia, PA;University of Washington, Seattle, WA;University of Washington, Seattle, WA;University of Washington, Seattle, WA;University of Washington, Seattle, WA;University of Washington, Seattle, WA;University of Washington, Seattle, WA;University of Washington, Seattle, WA;University of Washington, Seattle, WA

  • Venue:
  • ACM SIGMOD Record
  • Year:
  • 2003

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Abstract

A major problem in today's information-driven world is that sharing heterogeneous, semantically rich data is incredibly difficult. Piazza is a peer data management system that enables sharing heterogeneous data in a distributed and scalable way. Piazza assumes the participants to be interested in sharing data, and willing to define pairwise mappings between their schemas. Then, users formulate queries over their preferred schema, and a query answering system expands recursively any mappings relevant to the query, retrieving data from other peers. In this paper, we provide a brief overview of the Piazza project including our work on developing mapping languages and query reformulation algorithms, assisting the users in defining mappings, indexing, and enforcing access control over shared data.