CROSI Capturing, Representing and Operationalising Semantic Integration C=> A.B.D.C C’=> A’.B’.D’.E’.C’ Compute the simila...
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CROSI - Capturing Representing and Operationalising Semantic Integration

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summary poster of the CROSI project on semantic integration

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CROSI - Capturing Representing and Operationalising Semantic Integration

  1. 1. CROSI Capturing, Representing and Operationalising Semantic Integration C=> A.B.D.C C’=> A’.B’.D’.E’.C’ Compute the similarity between C and C’ as well as the respective similarity between every pair of super classes of C and C’ Penalise the similarity between C and C’ with those of their super classes C’ A’ B’ D’ E’ A B C D f (name similarity, domain similarity, range similarity ) Canonical Name algorithm Structure (Definition) algorithm Semantic Intensity Spectrum A Principled Architecture <ul><li>CROSI project (Nov 04 – Nov 05) dealt with the problem of semantic heterogeneity by means of enabling semantic interoperability through ontology mapping </li></ul><ul><li>CROSI delivered: </li></ul><ul><ul><li>A state-of-the-art survey of semantic integration (SI) technologies </li></ul></ul><ul><ul><li>A principled characterisation of SI systems </li></ul></ul><ul><ul><li>A modular architecture for developing ontology mapping systems </li></ul></ul><ul><ul><li>A fully functional, proof-of-concept prototype system (CMS) for ontology mapping </li></ul></ul><ul><ul><ul><li>Structure and semantics based </li></ul></ul></ul><ul><ul><ul><li>Multiple matchers approach </li></ul></ul></ul><ul><ul><ul><li>Aggregating alignments and tuning algorithms (via API or prompt) </li></ul></ul></ul><ul><li>Evaluation: CMS participated in the annual ontology alignment contest </li></ul><ul><ul><li>Parsed and aligned successfully the massive FMA vs. openGALEN testcase </li></ul></ul>P1’(C’, B’) P2’ P3’ P1(C, B) P2 P3 H G Domain of P1 H’ G’ I’ Domain of P1’ A B D Range of P1 E A’ B’ D’ E’ Range of P1’ F’

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