Ontology learning integrates many complementary techniques, including machine learning, natural language processing, and data mining. Specifically, clustering techniques facilitat...
XQBE (XQuery By Example, [1]), a visual dialect of XQuery, uses hierarchical structures to express transformations between XML documents. XSLT, the standard transformation languag...
Relational clustering has attracted more and more attention due to its phenomenal impact in various important applications which involve multi-type interrelated data objects, such...
Extracting semantic relations among entities is an important first step in various tasks in Web mining and natural language processing such as information extraction, relation de...
— We present three general approaches to detecting prototypical entities in a given taxonomy and apply them to a music information retrieval (MIR) problem. More precisely, we try...