In geospatial applications with heterogeneous classification schemes that describe related domains, an ontology-driven approach to data sharing and interoperability relies on the ...
: Ontologies are used to represent a variety of domain knowledge and data collections, scopes, viewpoints and linked heterogeneous information sources. They range from simple topol...
Monika Lanzenberger, Jennifer Sampson, Markus Rest...
Heterogeneous object co-clustering has become an important research topic in data mining. In early years of this research, people mainly worked on two types of heterogeneous data ...
A new algorithm for identifying stuck faults in combinational circuits that cannot be detected by a given input sequence is presented. Other than pre and post-processing steps, ce...
Vishwani D. Agrawal, Soumitra Bose, Vijay Gangaram
The increase in the use of XML (eXtensible Markup Language) makes the semistructured data more and more important on the Web. To exploit the full power of XML documents, a query l...