The Semantic Web: The Roles of XML and RDF
IEEE Internet Computing
A Comparison of (Semantic) Markup Languages
Proceedings of the Fifteenth International Florida Artificial Intelligence Research Society Conference
Semantics based customization of UBL document schemas
Distributed and Parallel Databases
Moving from syntactic to semantic organizations using JXML2OWL
Computers in Industry
Intelligent business knowledge management using topic maps
Proceedings of the 2nd Bangalore Annual Compute Conference
A Semantic-Based Solution for UBL Schema Interoperability
IEEE Internet Computing
Towards an Ontology for Automating Collaborative Business Processes
EDOCW '10 Proceedings of the 2010 14th IEEE International Enterprise Distributed Object Computing Conference Workshops
An efficient XML to OWL converter
Proceedings of the 4th India Software Engineering Conference
TMRA'05 Proceedings of the First international conference on Charting the Topic Maps Research and Applications Landscape
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Over the years, XML has become a prominent standard for data exchange on the Web. Although XML can support syntactic inter-operability, problems arise when data sources represented as XML documents are needed to be integrated. The reason is that XML does not support sharing of concepts. This issues can be overcome by having suitable ontology representations of XML documents. The Semantic Web languages can play an important role here as they support ontology representation. Topic Map is a Semantic Web formalism (an ISO standard) for knowledge representation and interchange with an emphasis on navigation and retrieval of information. In this work we propose a framework for automatically generating Topic Map ontology from XML. We make use of XQuery and Tolog to validate our method. We illustrate our technique on examples. We also provide performance measures of our approach on some standard data sets.