Tools, Languages, Methodologies for Representing Semantics on the Web of Things

12Development of a Semantic Web Enabled Job_Search Ontology System

Classical process recruitment portals on the Internet depend on keyword searching to discover jobs. However, this approach results in excessive recall, low precision and low semantic similarity among the keywords. Many researchers have proposed semantic matching strategies through growing ontologies, but those strategies now no longer quantify how carefully matched candidates and employers are, primarily based totally on middle skills (Kumar and Ramu 2021).

Today, ontologies serve as a conceptual knowledge model. Semantic Web and semantic search have promoted meaning-based web searching. This chapter proposes a “SearchAJob” system enabling companies to find the right candidate, and jobseekers to find the right job. The ontology has been developed using the Protégé editor and SPARQL queries are written to execute the user’s queries and retrieve more meaningful information. A PHP Interface is developed serving as a search medium for the company and jobseeker. The “SearchAJob” ontology will serve as a database to the PHP interface, using the Apache Jena Fuseki server, which is a recommended SPARQL server, enabling the SPARQL queries to be executed. The basic aim of research is to create a single Decentralized Job Ontology portal from scratch, integrating different job recruitment domains, enabling the search for a job through a single query executed on multiple domains. The proposed ontology can be easily integrated ...