Facilitating Smart Ontology Alignment Over Comprehensive Knowledge Structure.

The vision of the semantic web is to give a semantic perspective to the data so that data become a real-world entity rather than a string of characters. The most important step for achieving this vision is defining and describing the relations among the available data on the web. This is the place where ontologies serve as a backbone for the semantic web. An ontology is a knowledge representation scheme that offers enriched semantic meaning of data. Various ontologies are available on the web within the same or different domains with some common information among them that create a hinder during the mapping of the data due to their heterogeneous nature. The ontology alignment is a core solution to resolve this issue; hence, it is demanded to provide a sophisticated ontology alignment approach for semantic mapping. This paper defines a universal and Smart Ontology Alignment (SOA) approach for finding relations between entities by dividing the set of attributes of an entity into 'distinctive features' and 'cancellable features'. The SOA approach is termed smart because of the smart knowledge representation scheme it is based upon. State-of-the-art ontology alignment tools do not use this effect and offer wrong relations between the entities. The proposed structure of knowledge is believed to be more natural and comprehensible, and the relations found using SOA increase the performance of the system. The proposed SOA approach is tested with respect to five benchmarks, and the results show that the performance of our approach is near to optimal. [ABSTRACT FROM AUTHOR]