Abstract
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.
Highlights
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
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
JetBrains is a company, which develops IntelliJ and indicates on its site: “While IntelliJ IDEA is an Integrated Development Environments (IDE) for Java, it understands many other languages, including Groovy, Kotlin, Scala, JavaScript, TypeScript and SQL.”. It means that including IntelliJ in a query will lead to finding developers on Groovy, Kotlin, Scala, JavaScript and TypeScript at least
Summary
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. There are a lot of plugins for Eclipse IDE for programming languages C++, Ada, JavaScript and ect This term in the query will lead to information noise because search results will include CVs of any developer who uses this IDE. Ant can be used to pilot any type of process which can be described in terms of targets and tasks.” This is a similar situation like with IDEs. As already mentioned above the sub-query “Maven” OR “Maven2” OR “Ant” is obviously a cause which generates a lot of falsepositive search results. Bob Adams [5] explains Top 5 benefits of semantic interoperability in application to medicine issues where a meaningful analytics holds the first position This advantage is reached by using ontologies into information systems. It satisfies the requirements of the time and opens new opportunities, which lead to solving some well-known problem like expert selection and workforce development
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