The paper is aimed to present a methodology of learning personalisation based on applying
Resource Description Framework (RDF) standard model. Research results are two-fold: first …

Abstract The Linked Open Data cloud contains tremendous amounts of interlinked instances
with abundant knowledge for retrieval. However, because the ontologies are large and …

The basis of our research is to construct a job recommendation system to the job seekers by
collecting the job portals data. Due to huge amounts of the data in job portals the employers …

Linked Data initiative has completely changed the procedure of sharing knowledge over the
Web. It primarily aimed at improving the interoperability and semantics of the data published …

Abstract The Linked Open Data (LOD) cloud contains tremendous amounts of interlinked
instances, from where we can retrieve abundant knowledge. However, because of the …

The paper is aimed to analyse the problem of learning personalisation applying Resource
Description Framework (RDF) standard model. Research results are two-fold: first, the …

Taxonomy is implemented in myriad areas of biological research and though structured it
deals with the problem of information retrieval. Ontology is a very powerful tool for …

Data quality comes from consistency which is dependent on reliable source. The concept of
ontology is used to represent a common knowledge sharing to various users in the …

In Geographic Information Science, the concept of semantic interoperability has been
proposed to simplify and enhance the sharing, reuse and integration of geographic data …

The report is aimed to present a methodology of learning personalisation based on applying
Resource Description Framework (RDF) standard model. Research results are two-fold: first …