The vision of Semantic Web services promises a network of interoperable Web services over different sources. A major challenge to the realization of this vision is the lack of aut...
Wensheng Wu, AnHai Doan, Clement T. Yu, Weiyi Meng
Ontology learning is an important task in Artificial Intelligence, Semantic Web and Text Mining. This paper presents a novel framework for, and solutions to, three practical probl...
In order to overcome the limitations of deductive logic-based approaches to deriving operational knowledge from ontologies, especially when data come from distributed sources, indu...
Formulating and executing queries over distributed, autonomous and heterogeneous resources is an important research area. The advent of the Internet and the Web and their inherent...
With the invention of biotechnological high throughput methods like DNA microarrays and the analysis of the resulting huge amounts of biological data, clustering algorithms gain ne...