Capturing, Representing and Operationalising Semantic Integration (CROSI) project - final report

n October of 2004, the \underline{University of Southampton} and \underline{Hewlett Packard Laboratories at Bristol} joined forces to work on a collaborated project, CROSI, in order to investigate semantic integration. The project lasted 12 months and its primary focus was the use of Artificial Intelligence technology, like ontologies, in the Semantic Web environment in order to research issues related to ontology mapping. A number of new insights and emergent issues were identified by using a practical testbed and a thorough evaluation strategy. The project's main deliverables were: (a) a \emph{comprehensive survey} of state-of-the-art technologies that address semantic integration; (b) engineering artifacts for guiding the potential semantic integration practitioner to develop a semantic integration system: the \emph{Semantic Intensity Spectrum} (SIS) and a \emph{Modular Architecture} for developing semantic integration systems; (c) an ontology mapping prototype system, \emph{CMS (CROSI Mapping System)} which acts as a demonstrator of mapping techniques. CROSI also shed light and provided fruitful insights for potential extensions of this technology. For example, it was proven that combining different matchers gives us a better alignment than using them independently. But, we also identified areas where more research is needed, like for example, practical and re-usable algorithms for aggregating alignment results. The project also had a good visibility record and achieved a decent dissemination across various communities (Web community, Knowledge Engineering community), especially when its short life cycle is taken into account. The highlight was our participation in the annual ontology alignment contest where CMS was ranked in the top three systems for alignment and it was one of the two out of seven participating systems that managed to parse correctly and without a flaw the industrial-strength, sizeable ontologies in the medical informatics domain. In this final project report, we elaborate on the issues mentioned above. This report is also accompanied by a software system and its manual where more technical details regarding the mechanisms used for alignment are explained.