Certain investigations on automated alignment of biomedical ontologies in a distributed environment

Abstract

The Web is proliferated with huge amount of data through newlinevarious data sources. To retrieve useful information from the Web, data has newlineto be collected from different data sources. The current search engines, newlineretrieve data from multiple data sources and provide users with mere newlinedocuments. The semantic web, an extension of the current web, facilitates the newlinemachines to process and interpret the data intelligently, rather than providing newlinemere documents. The advent of XML paved a way for the standardization of newlinedata representation in the web. Semantic data integration is the process of newlineinterrelating data from diverse data sources that enable effective integration newlineand reuse of information.Ontology, which is developed by several domain experts is a newlineformal specification of domain knowledge and it plays an imperative role in newlinethe semantic web. Ontology is the key technology in semantic web and is newlineextensively used in data integration systems as they provide an explicit newlinespecification of domain knowledge. Ontologies are widely used in semantic newlinedata integration as they capture the domain knowledge. As the ontologies are newlinedeveloped by several domain experts, there exist structural, lexical and newlinesemantic differences in the terminologies used. Ontology mapping is the newlineinitial step in the integration of ontologies. It is the process of identifying the newlinecorrespondence between the terms in the ontology. The alignment generated newlinefrom the mapping process is useful in interpreting the semantics of the newlineterminologies used in different data sources. newline newline