Reaching Semantic Interoperability through Semantic Association of Domain Standards

The vision of semantic interoperability has led much research on ontology matching. Research in this area primarily focuses on discovering similarity between entities of ontologies. The performance of proposed approaches relies on the existence of such similarity relationship and sufficient data for inferring it. However, in reality, many distributed systems do not have such presumptions. This paper addresses this challenge by associating the entities through affinity semantic (to what degree they are related in their application context). Through the analysis of a motivating example in building construction industry, this paper formally defines semantic association based on multiple-perspective domain standards. This paper hypothesizes that the establishment and the use of such standards can practically serve as a framework for reaching semantic interoperability between autonomous information systems. This paper also shows that such framework has the potential to make revolutionary impacts on workflow automation, information retrieval, and ontology matching research areas