Lexicon Ontology driven Concept Lattice Framework for Semantic Web Service Discovery

In the era of Internet, increased usage of e-services have made the web services as an integral part of the World Wide Web. With the proliferation of web services, discovering the relevant set of web services for a user query has become a challenging task. Investigators of the web service domain delivered various solutions to the discovery process by implying manifold techniques like Domain Ontology, Semantic Similarity, Semantic Match making, Machine Learning, Deep Learning and various others as an efficient solution. As an auxiliary solution, this article proposes a novel ideology by the usage of Lexicon Ontology and Formal Concept Analysis for semantic web service discovery. The proposed framework classifies the web services during its registration phase using lexicon ontology and the hierarchy of classified ontology is characterized by Concept Lattice. Whenever a user query is acquired, the relevant web services are extracted from the Concept Lattice based on the ontology derived from the query. The anticipated framework in this article is evaluated by providing queries belonging to different domains to test its robustness. The results gained is evident to prove that the proposed framework performs efficiently when compared to the existing frameworks under the discovery process.