Semantical data integration to support the search of human resource data

The purpose of this thesis is to explore the idea of semantics being the studies of meaning in relation to the world wide web. The first phase involves a detailed analysis of the current situation, where I focused on the already established forms of web page marking with insertion of machine-understandable metadata about their meaning. The second phase is intended to examine the idea of semantic web as a technical solution, towards which today's web should converge. Consequently, I presented the differences between the two with a concrete example of usage based on the data gathered from various real sources. The domain of this study included searching for people or groups of people at the labour exchange, which includes many web pages that serve as sources of information. The above said concrete example is placed within the project, which at a certain point reveals that in order for it to be finished in time, there are not enough people. Consequently, we need to find more people with suitable knowledge and other desired criteria. The result is a system composed of two major parts. Within the first part, corresponding to the first phase, the subsystem gathers information from different sources by scrapping or separating data from presentation. The second part, as the result of phase two, is presented as a knowledge directory based upon the interconnected ontologies of different sources. On account of my aim – highlighting the differences as much as possible – I have linked the said knowledge database with a web user interface for executing queries