Liu has written a comprehensive text on Web mining, which consists of two parts. The first
part covers the data mining and machine learning foundations, where all the essential …

An ontology typically provides a vocabulary describing a domain of interest and a
specification of the meaning of terms in that vocabulary. Depending on the precision of this …

The rapid growth of the Web in the past two decades has made it the largest publicly
accessible data source in the world. Web mining aims to discover useful information or …

Software maintenance has dramatically evolved in the last four decades, to cope with the
continuously changing software development models, and programming languages and …

Ontologies proliferate with the progress of the Semantic Web. Ontology matching is an
important way of establishing interoperability between (Semantic) Web applications that use …

The introduction of the Semantic Web vision and the shift toward machine understandable
Web resources has unearthed the importance of automatic semantic reconciliation …

Schema matching is the task of providing correspondences between concepts describing
the meaning of data in various heterogeneous, distributed data sources. Schema matching …

In this paper, we propose to extend current practice in schema matching with the
simultaneous use of top-K schema mappings rather than a single best mapping. This is a …

Motivation: Data integration promises to be one of the main catalysts in enabling new
insights to be drawn from the wealth of biological data available publicly. However, the …

Ontologies have become the de-facto modeling tool of choice, employed in many
applications and prominently in the semantic web. Nevertheless, ontology construction …