1 resultado para semantic retrieval
em Massachusetts Institute of Technology
Filtro por publicador
- Aberdeen University (3)
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- Acceda, el repositorio institucional de la Universidad de Las Palmas de Gran Canaria. España (2)
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- BORIS: Bern Open Repository and Information System - Berna - Suiça (80)
- Brock University, Canada (1)
- Bucknell University Digital Commons - Pensilvania - USA (5)
- Bulgarian Digital Mathematics Library at IMI-BAS (32)
- CentAUR: Central Archive University of Reading - UK (113)
- Central European University - Research Support Scheme (3)
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- School of Medicine, Washington University, United States (2)
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- Universidad de Alicante (22)
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- Universitätsbibliothek Kassel, Universität Kassel, Germany (6)
- Université de Lausanne, Switzerland (23)
- Université de Montréal (1)
- Université de Montréal, Canada (9)
- University of Michigan (32)
- University of Queensland eSpace - Australia (67)
- University of Southampton, United Kingdom (27)
- University of Washington (3)
Resumo:
The COntext INterchange (COIN) strategy is an approach to solving the problem of interoperability of semantically heterogeneous data sources through context mediation. COIN has used its own notation and syntax for representing ontologies. More recently, the OWL Web Ontology Language is becoming established as the W3C recommended ontology language. We propose the use of the COIN strategy to solve context disparity and ontology interoperability problems in the emerging Semantic Web – both at the ontology level and at the data level. In conjunction with this, we propose a version of the COIN ontology model that uses OWL and the emerging rules interchange language, RuleML.