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Piazza: Data Management Infrastructure for Semantic Web (2003)
| Content Provider | CiteSeerX |
|---|---|
| Author | Halevy, Alon Ives, Zachary Mork, Peter Tatarinov, Igor |
| Description | 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 be able to accommodate the huge amounts of 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. |
| File Format | |
| Language | English |
| Publisher Date | 2003-01-01 |
| Access Restriction | Open |
| Subject Keyword | New Language Domain Structure Complex Query Rich Semantics Document Structure Huge Amount Data Management Practitioner World Wide Web Semantic Web Data Model Local Point-to-point Data Translation Data Management Infrastructure |
| Content Type | Text |
| Resource Type | Article |
