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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.
![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 ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],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’](https://image.slidesharecdn.com/abdn-aktws-100828171923-phpapp02/85/crosi-capturing-representing-and-operationalising-semantic-integration-1-320.jpg)
