SSP Group Meeting
Wednesday, October 23, 11am
Division of Informatics, 80 South Bridge, Room E17a

Information-Flow-based Ontology Mapping

Marco Schorlemmer

As ontologies become ever more important for semantically-rich information exchange and a crucial element for supporting knowledge sharing in a large distributed environment like the Web, the demand for sharing them increases accordingly. One way of achieving this ambitious goal is to provide mechanised ways for mapping and merging ontologies. This has been the focus of recent research in knowledge engineering. However, we observe a dearth of mapping methods that are based on a strong theoretical ground, are easy to replicate in different settings, and use semantically-rich mechanisms for performing ontology mapping.

We aim to fill in these gaps with a method we propose for Information-Flow-based ontology mapping. Our method draws on the proven theoretical ground on Information Flow and channel theory, and we provide a systematic and mechanised methodology for deploying it on a distributed environment to perform ontology mapping among a variety of different ontologies. We applied our method at a large-scale experiment of mapping ontologies modelling Computer Science departments in UK Universities. We elaborate on a theory for ontology mapping, analyse the mechanised steps of applying it, and assess its ontology mapping results.

(This is a joint work with Yannis Kalfoglou, University of Southampton)