IF-Map: An Ontology-Mapping Method Based on Information-Flow Theory Export

@incollection{citeulike:6071628, abstract = {In order to tackle the need of sharing knowledge within and across organisational boundaries, the last decade has seen researchers both in academia and industry advocating for the use of ontologies as a means for providing a shared understanding of common domains. But with the generalised use of large distributed environments such as the World Wide Web came the proliferation of many different ontologies, even for the same or similar domain, hence setting forth a new need of sharing–that of sharing ontologies. In addition, if visions such as the Semantic Web are ever going to become a reality, it will be necessary to provide as much automated support as possible to the task of mapping different ontologies. Although many efforts in ontology mapping have already been carried out, we have noticed that few of them are based on strong theoretical grounds and on principled methodologies. Furthermore, many of them are based only on syntactical criteria. In this paper we present a theory and method for automated ontology mapping based on channel theory, a mathematical theory of semantic information flow. We successfully applied our method to a large-scale scenario involving the mapping of several different ontologies of computer-science departments from various UK universities.}, author = {Kalfoglou, Yannis and Schorlemmer, Marco}, citeulike-article-id = {6071628}, citeulike-linkout-0 = {http://www.springerlink.com/content/f1tf3bxm118e11vj}, journal = {Journal on Data Semantics}, keywords = {ontologies, ontology}, pages = {98--127}, posted-at = {2009-11-04 22:11:43}, priority = {4}, title = {IF-Map: An Ontology-Mapping Method Based on Information-Flow Theory}, url = {http://www.springerlink.com/content/f1tf3bxm118e11vj}, year = {2003} }

TY - CHAP ID - citeulike:6071628 L3 - citeulike-article-id:6071628 N2 - In order to tackle the need of sharing knowledge within and across organisational boundaries, the last decade has seen researchers both in academia and industry advocating for the use of ontologies as a means for providing a shared understanding of common domains. But with the generalised use of large distributed environments such as the World Wide Web came the proliferation of many different ontologies, even for the same or similar domain, hence setting forth a new need of sharing–that of sharing ontologies. In addition, if visions such as the Semantic Web are ever going to become a reality, it will be necessary to provide as much automated support as possible to the task of mapping different ontologies. Although many efforts in ontology mapping have already been carried out, we have noticed that few of them are based on strong theoretical grounds and on principled methodologies. Furthermore, many of them are based only on syntactical criteria. In this paper we present a theory and method for automated ontology mapping based on channel theory, a mathematical theory of semantic information flow. We successfully applied our method to a large-scale scenario involving the mapping of several different ontologies of computer-science departments from various UK universities. JF - Journal on Data Semantics EP - 127 TI - IF-Map: An Ontology-Mapping Method Based on Information-Flow Theory SP - 98 KW - ontologies KW - ontology AU - Kalfoglou, Yannis AU - Schorlemmer, Marco PY - 2003/// UR - http://www.springerlink.com/content/f1tf3bxm118e11vj ER -