Title :
Validation of an approach for finding good anchor nodes in ontologies in the semantic web
Author :
Wu, John ; Etzkorn, Letha
Author_Institution :
Comput. Sci. Dept., Univ. of Alabama in Huntsville, Huntsville, AL, USA
Abstract :
When matching different semantically-tagged web service interfaces in the semantic web, there is often a need to match one ontology to another ontology on the fly. In many cases knowing up front which are the best nodes to start the mapping process (these are called anchor nodes) can make the ontology mapping much easier. Traditionally, all anchor node selections have been performed by humans. However, this is not practical for on-the-fly situations. In previous research, we suggested a method for determining anchor nodes automatically, and performed a pilot study. In this paper we further that previous research with an expanded study. This study finds that anchor nodes can be automatically detected using certain metrics.
Keywords :
ontologies (artificial intelligence); pattern matching; semantic Web; anchor node selections; good anchor node finding; mapping process; on-the-fly situations; ontology mapping; semantic Web; semantically-tagged Web service interfaces; Correlation; Mathematical model; Measurement; Observers; Ontologies; Semantic Web; Semantics; Anchor Nodes; Ontologies; Ontology Mapping; Ontology Matching; Ontology Metrics; Semantic Web;
Conference_Titel :
SoutheastCon 2015
Conference_Location :
Fort Lauderdale, FL
DOI :
10.1109/SECON.2015.7132942