LILY: the results for the ontology alignment contest OAEI 2007

Given two consistent ontologies, KOSIMap aligns entities in the source ontology to entities in the target ontology by extracting background knowledge about entities based on

To solve the matching problem without rich literal information, a similarity propagation matcher with strong propagation condition (SSP matcher) is presented, and the

As only equivalence relationships will be evaluated in the alignment contest, we did not use this year the techniques which generate isA relationship (except in the Task 3) and

To solve the matching problem without rich literal information, a similarity propagation matcher with strong propagation condition (SSP matcher) is presented, and the

It performs an oriented alignment (from a source to a target ontology) and takes into account labels and sub-class descriptions.. Our participation in last year edition of

In order to give dependable precision results within the time span of the campaign given a limited number of assessors we performed a combination of semi- automatic evaluation

When calculating the base similarities between concepts of the two ontologies, the concept Reef that belongs to the Intertidal wetland subsystem in the source ontology will yield a

We present a hybrid alignment strategy for anatomical entities, combining direct and indirect alignment techniques, both supported by the NLM Anatomy Ontology Alignment System