CAOWL-SAI: Context aware OWL based semantic association inference
Saqib Nazir, Muhammad Tanvir Afzal, Muhammad Abdul Qadir, Hermann A. Maurer · Networked Computing and Advanced Information Management · 2010
Semantic Web unleashed a new era of data processing by enabling machines to understand the semantics of data. This semantic expression is achieved by formal representation of knowledge in data models such as RDF or OWL. The RDF and OWL data model can be envisioned as graph data models. The discovery of implicit relationships (termed as semantic associations) between entities in RDF graph had been the focus of research from quite some time now. The semantic associations are found using different path associations between entities in a RDF graph. This paper, however, exploits OWL constructs in an intelligent way to mine implicit relationships between semantic entities. The discovered relationships may not be found directly using RDF model. We employed our techniques on the available datasets of University ontology benchmark.