Knowledge Sifter is a scaleable agent-based system that supports access to heterogeneous information sources such as the Web, open-source repositories, XML-databases and the emergi...
Larry Kerschberg, Mizan Chowdhury, Alberto Damiano...
Design patterns have been enthusiastically embraced in the software engineering community as well as in the web community since they capture knowledge about how and when to apply a...
Abstract. There is an urgent need for sound approaches to integrative and collaborative analysis of large, autonomous (and hence, inevitably semantically heterogeneous) data source...
Doina Caragea, Jun Zhang 0002, Jyotishman Pathak, ...
In this paper we describe a query paradigm based on ontologies, aggregate table-driven querying and expansion of QBE. It has two novel features: visually specifying aggregate table...
Ontology learning integrates many complementary techniques, including machine learning, natural language processing, and data mining. Specifically, clustering techniques facilitat...