Background-based Ontology Mapping
This event took place on Thursday 01 March 2007 at 14:00
Zharko Aleksovski Vrije Universiteit, Amsterdam
Ontology matching is one of the most urgent and important problems on the Semantic Web. In the recent years it became apparent that using existing ontologies to mediate the matching process can have tremendous benefit as compared to the traditional matching methods.
This presentation provides: overview of a framework to perform ontology matching using other ontologies as background knowledge and an insight in matching experiments conducted with existing ontologies. Two ontologies were matched: NALT and Agrovoc, and other six ontologies taken from the Semantic Web were used as background knowledge. The experiments reveal what are the major causes for false matches, and how different characteristics of the background knowledge affect the matching performance.
This event took place on Thursday 01 March 2007 at 14:00
Ontology matching is one of the most urgent and important problems on the Semantic Web. In the recent years it became apparent that using existing ontologies to mediate the matching process can have tremendous benefit as compared to the traditional matching methods.
This presentation provides: overview of a framework to perform ontology matching using other ontologies as background knowledge and an insight in matching experiments conducted with existing ontologies. Two ontologies were matched: NALT and Agrovoc, and other six ontologies taken from the Semantic Web were used as background knowledge. The experiments reveal what are the major causes for false matches, and how different characteristics of the background knowledge affect the matching performance.
Future Internet
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Semantic Web and Knowledge Services is...
Our research in the Semantic Web area looks at the potentials of fusing together advances in a range of disciplines, and applying them in a systemic way to simplify the development of intelligent, knowledge-based web services and to facilitate human access and use of knowledge available on the web. For instance, we are exploring ways in which tnatural language interfaces can be used to facilitate access to data distributed over different repositories. We are also developing infrastructures to support rapid development and deployment of semantic web services, which can be used to create web applications on-the-fly. We are also investigating ways in which semantic technology can support learning on the web, through a combination of knowledge representation support, pedagogical theories and intelligent content aggregation mechanisms. Finally, we are also investigating the Semantic Web itself as a domain of analysis and performing large scale empirical studies to uncover data about the concrete epistemologies which can be found on the Semantic Web. This exciting new area of research gives us concrete insights on the different conceptualizations that are present on the Semantic Web by giving us the possibility to discover which are the most common viewpoints, which viewpoints are mutually inconsistent, to what extent different models agree or disagree, etc...
Our aim is to be at the forefront of both theoretical and practical developments on the Semantic Web not only by developing theories and models, but also by building concrete applications, for a variety of domains and user communities, including KMi and the Open University itself.
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