KOSIMap: ontology alignments results for OAEI 2009

We conclude that Ontology Fingerprints can help disambiguate gene names mentioned in text and analyze the association between genes and articles. The core algorithm

In this paper, we do entity linking by first identifying entity mentions and then disam- biguating the mentions based on three different features: (1) simi- larity between the

The ultimate goal is to incorporate methods that exploit different types of infor- mation available (lexical, semantic, structural) at various settings

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

Pattern 1 occurs when the statement to assess includes a concept being a subClassOf a concept occurring in both the context and the ontology (see the example in Figure 4, where

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

The experiments revealed that using background ontologies published on the semantic web provide low but stable increase of recall as compared to a simple direct matching..

(2) The similarity propagation strategy could compensate for the linguistic matching methods, and it can produce more alignments when ontologies lack of linguistic