CROSI - Capturing Representing and Operationalising Semantic Integration

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
CROSI project (Nov 04 – Nov 05) dealt with the problem of semantic heterogeneity by means of enabling semantic interoperability through ontology mapping
CROSI delivered:
A state-of-the-art survey of semantic integration (SI) technologies
A principled characterisation of SI systems
A modular architecture for developing ontology mapping systems
A fully functional, proof-of-concept prototype system (CMS) for ontology mapping
Structure and semantics based
Multiple matchers approach
Aggregating alignments and tuning algorithms (via API or prompt)
Evaluation: CMS participated in the annual ontology alignment contest
Parsed and aligned successfully the massive FMA vs. openGALEN testcase
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’

CROSI - Capturing Representing and Operationalising Semantic Integration

by Yannis Kalfoglou

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