Ontology learning aims at reducing the time and efforts in the ontology development
process. In recent years, several methods and tools have been proposed to speed up this …

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 …

We view match as an operator that takes two graph-like structures (eg, classifications, XML
schemas) and produces a mapping between the nodes of these graphs that correspond …

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

Abstract Information and communication infrastructures underwent a rapid and extreme
decentralization process over the past decade: From a world of statically and partially …

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 …

As the Web grows, more and more data has become available under dynamic forms of
publication, such as legacy databases accessed by an HTML form (the so called hidden …

Deep Web crawling refers to the problem of traversing the collection of pages in a deep Web
site, which are dynamically generated in response to a particular query that is submitted …

This paper describes a novel approach for obtaining semantic interoperability in a bottom–
up, semi-automatic manner without relying on pre-existing, global semantic models. We …