Šis dokumentas nagrinėja paieškos organizavimo galimybes VIPS sistemos video įrašų archyve pasitelkiant semantines web technologijas. Semantinis žiniatinklis yra dalis pasaulinio interneto, kuriame informacija gali būti suprantama ne tik žmonėms, bet ir programiniams agentams, sukuriant galimybes surasti, pasidalinti ir intergruoti informacija adug paprasčiau. Socialinis žymėjimas taip pat gali grupuoti informaciją semantiniu būdu. Dokumento pradžioje aptariama teorija ir galimi sprendimai, vėliau pateikiamas galimas sprendimo modelis. Dokumentas pabaigiamas išvadomis ir rekomendacijomis. / The aim of this paper is to present search organization opportunities in VIPS system archive in semantic manner. The Semantic Web is an evolving extension of the World Wide Web in which web content can be expressed not only in natural language, but also in a format that can be read and used by software agents, thus permitting them to find, share and integrate information more easily. Social tagging can also group information in semantic manner. Theoretical background of specified model is delivered in the beginning sections of this thesis. As experimental solution information system was introduced. Thesis is concluded and recommendations are suggested for future.

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.