ASMOV: results for OAEI 2008

Our algorithm contains preprocess- ing, adaptation module for OAEI 2008, the basic block of algorihtm and the local align- ment process.. We created our own persistent model

Our schema-based alignment algorithm compares each pair of ontology terms by, firstly, extracting their ontological contexts up to a certain depth (enriched by using

GeRoMeSuite is based on the generic role based meta- model GeRoMe [3], which represents models from different modeling languages (such as XML Schema, OWL, SQL) in a generic

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

The computation of the alignment suggestions in SAMBO and SAMBOdtf is based on the computation of a similarity value between the concepts.. The computation of the similarity values

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

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