Šiame darbe apibrėžiamos socialinio tinklo realizavimo galimybės internetinėje aplinkoje semantinio tinklalapio pagrindu. Aprašytos pagrindinės internetinio socialinio tinklo kūrimo technologijos, tokio sistemų tipų funkcionalumas, pasiūlytas sistemos ontologijos modelio išskaidymo į mažesnius modelius metodas, suprojektuotas ir sukurtas eksperimentinis namų bendrijos socialinis tinklas semantinio žiniatinklio pagrindu su išskaidytu sistemos ontologijos modeliu. / In this work are described the opportunities of realization of social network in the internet environment on a semantic web basis. In this work are described main technologies which we can use creating internet social network, functionality of this type of systems, offered system ontology model resolution into lesser models method, projected and created the experimental social network for house communities on a semantic web basis with resolved system ontology model.

Data storing semantic technologies separate it from applications code and gives availability for computers as well as people understand and share semantics in real time. These technologies also enable to add new data source or link between software applications as easy as to draw new link in the model. Unfortunately these technologies are yet not developed and popular as we could notice strong benefits of them in daily life. Introduction of semantic search system is an attempt to show the strong points of semantic technologies. Semantic search is more precise because of its opportunities to narrow handled domain down, it gives more exact result than usual, keyword based search. This advantage is clearly shown when database is very large and is filled with plenty of data. It also gives possibility to retrieve results from multiple distant data sources and form custom or predefined result sets as a central hub for some data domain. Automatic ontology generation based on database schema and metadata is suggested in this work. Such solution ensures that semantic search, which uses generated ontology, serves up-to-date search services even when structure of database is changed.