The purpose of the following thesis is to present the key concepts of Social and Semantic Web, to examine the possibilities of their integration and to develop and implement on the basis of good practice a concrete example of an application that combines the advantages of both areas.
The thematic area of social web, its basic forms and examples of popular web applications are presented more thoroughly. These applications offer a range of technologies for content syndication, networking, mutual communication and content sharing. Building blocks of semantic web architecture are also presented, where ontologies and languages for their implementation play a significant role.
As an option of integration of the two areas, three contact points are identified. The concept of the most logical contact point is developed and implemented as an application that creates added value, based on the unstructered data from the social web with the help of semantic web technologies.
For a given set of users the application searches within different internet sites for eventual data, e.g. group names to which these users are subscribed within the popular online social network Facebook. Based on specific area ontology, the colleccted data is compared with the labels of ontology classes. People in whose a match is found, are recorded as entities in the appropriate ontology classes.
With the help of an ontology handling tool it is possible to obtain a list of people that are connected to the specific area in the context of social web easiliy, on any level of the ontology.
As a potential use case example the area of targeted advertising is presented.
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