A translation approach to portable ontology specifications
Knowledge Acquisition - Special issue: Current issues in knowledge modeling
A survey of approaches to automatic schema matching
The VLDB Journal — The International Journal on Very Large Data Bases
Ontology mapping: the state of the art
The Knowledge Engineering Review
C-SAW---contextual semantic alignment of ontologies: using negative semantic reinforcement
Proceedings of the 2008 ACM symposium on Applied computing
OntoMatch: a monotonically improving schema matching system for autonomous data integration
IRI'09 Proceedings of the 10th IEEE international conference on Information Reuse & Integration
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Integration of different information sources has been a problem that has been challenging (or perhaps better: plaguing) Computer Science throughout the decades. As soon as we had two computers, we wanted to exchange information between them, and as soon as we had two databases, we wanted to link them together. Fortunately, Computer Science has made much progress on different levels: Physical interoperability between systems has been all but solved: with the advent of hardware standards such as Ethernet, and with protocols such as TCP/IP and HTTP, we can nowadays walk into somebody's house or office, and successfully plug our computer into the network, giving instant world-wide physical connectivity. Physical connectivity is not sufficient. We must also agree on the syntactic form of the messages we will exchange. Again, much progress has been made in recent years, with open standards such HTML and XML.