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Piazza: Mediation and Integration Infrastructure for Semantic Web Data

20 Pages Posted: 8 Jul 2018 Publication Status: Accepted

See all articles by Zachary Ives

Zachary Ives

University of Pennsylvania - Department of Computer and Information Science

Alon Halevy

University of Washington - Computer Science & Engineering

Peter Mork

University of Washington - Computer Science & Engineering

Igor Tatarinov

University of Washington - Computer Science & Engineering

Abstract

The Semantic Web envisions a World Wide Web in which data is described with rich semantics and applications can pose complex queries. To this point, researchers have defined new languages for specifying meanings for concepts and developed techniques for reasoning about them, using RDF as the data model. To flourish, the Semantic Web needs to provide interoperability — both between sites with different terminologies and with existing data and the applications operating on them. To achieve this, we are faced with two problems. First, most of the world’s data is available not in RDF but in XML; XML and the applications consuming it rely not only on the domain structure of the data, but also on its document structure. Hence, to provide interoperability between such sources, we must map between both their domain structures and their document structures. Second, data management practitioners often prefer to exchange data through local point-to-point data translations, rather than mapping to common mediated schemas or ontologies.

This paper describes the Piazza system, which addresses these challenges. Piazza offers a language for mediating between data sources on the Semantic Web, and it maps both the domain structure and document structure. Piazza also enables interoperation of XML data with RDF data that is accompanied by rich OWL ontologies. Mappings in Piazza are provided at a local scale between small sets of nodes, and our query answering algorithm is able to chain sets mappings together to obtain relevant data from across the Piazza network. We also describe an implemented scenario in Piazza and the lessons we learned from it.

Keywords: Semantic Web, XML, Peer Data Management Systems, Mediation, Data Transformation

Suggested Citation

Ives, Zachary and Halevy, Alon and Mork, Peter and Tatarinov, Igor, Piazza: Mediation and Integration Infrastructure for Semantic Web Data (2004). Available at SSRN: https://ssrn.com/abstract=3199013 or http://dx.doi.org/10.2139/ssrn.3199013

Zachary Ives

University of Pennsylvania - Department of Computer and Information Science ( email )

3330 Walnut Street
Philadelphia, PA 19104
United States

Alon Halevy

University of Washington - Computer Science & Engineering ( email )

Seattle, WA
United States

Peter Mork (Contact Author)

University of Washington - Computer Science & Engineering ( email )

Seattle, WA
United States

Igor Tatarinov

University of Washington - Computer Science & Engineering ( email )

Seattle, WA
United States

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