Semantic integration has been a long-standing challenge for the database community. It has
received steady attention over the past two decades, and has now become a prominent area …

In recent years there have been some efforts to automate the ontology acquisition and
construction process. The proposed systems differ from each other in some factors and have …

Ontologies play a prominent role on the Semantic Web. They make possible the widespread
publication of machine understandable data, opening myriad opportunities for automated …

Ontology is increasingly seen as a key factor for enabling interoperability across
heterogeneous systems and semantic web applications. Ontology map** is required for …

This chapter studies ontology matching: the problem of finding the semantic map**s
between two given ontologies. This problem lies at the heart of numerous information …

On the Semantic Web, data will inevitably come from many different ontologies, and
information processing across ontologies is not possible without knowing the semantic …

Research on ontology is becoming increasingly widespread in the computer science
community. The major problems in building ontologies are the bottleneck of knowledge …

The problem of integrating data from multiple data sources—either on the Internet or within
enterprises—has received much attention in the database and AI communities. The focus …

Most recent schema matching systems assemble multiple components, each employing a
particular matching technique. The domain user mustthen tune the system: select the right …

Many different contents and structures exist in constructed ontologies, including those that
exist in the same domain. If extant domain ontologies can be used, time and money can be …