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)