Semantic interoperability as a basis of meaningful analytics
Keywords:Semantic web, semantic interoperability, ontology, taxonomy, classification, intelligent search, predictive analytics, prescriptive analytics, meaningful analytics.
The main objective of the article is to show how ontologies, which are basic items of the semantic interoperability, can be used as a basis of meaningful analytics. It opens the way to solve a lot of problems like expert selection. The author discovers the pointed problem on the boarder between information technologies and recruitment problems like boolean search. The article contains a real example of boolean search query regarding information technologies such J2EE, JDBC, JAXB, JPA, Servlets, JAX-WS and others. The weekness of understanding of meaning some terms by a finder leads to incorrect results of the search. Only ontologies can handle synonyms and other kinds of relations between two terms – it is very important for avoiding of a confusion. Unfortunately, where is a misunderstanding of meaning following terms – classification, taxonomy, ontology. The existing articles do not solve the problem of unified understanding – it is an aspect of author’s investigation. The author shows how the analytical hierarchy process in the couple with ontologies can be used for empowering of existing approaches for solving the problem of expert selection. All conclusions are based on the detailed analysis of existing open publications. The pointed combination opens new horizons for predictive meaningful analytics.
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