Ontology learning integrates many complementary techniques, including machine learning, natural language processing, and data mining. Specifically, clustering techniques facilitat...
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...
The ability to locate useful on-line Web Services is becoming critical for today’s service-oriented business applications. A number of efforts have been put to enhance the servic...
Abstract. Most approaches to B2B interoperability are based on language syntax standardisation, usually by XML Schemas. However, due to XML expressivity limitations, they are diffi...
Several medical natural language processing (NLP) systems currently base on ontologies that provide the domain knowledge. But, relationships between concepts defined in ontologies ...