Izraznost in skalabilnost sistemov Semantičnega spleta

LEVSTIK, VANČ (author), Lavbič, Dejan (mentor)

V tem delu se posvetimo sistemom Semantičnega spleta, predvsem njihovi izraznosti in skalabilnosti. Pregledamo različne tehnologije in standarde Semantičnega spleta ter primerjamo njihovo izraznost. Cilj diplomskega dela je raziskati sisteme Semantičnega spleta in ugotoviti kateri med njimi so primerni za uporabo v problemih industrije. Na koncu se posvetimo analizi nekaj izbranih sistemov in pregledamo kako se obnašajo pri reševanju teh problemov. Rezultati pokažejo, da so sistemi Semantičnega spleta dobra rešitev za zahtevne probleme ki potrebujejo visoko izraznost. Sistemi imajo probleme pri skaliranju, zato za uporabo v industriji predlagamo uporabo hibrida različnih sistemov.

• Language: English
• Keywords: Semantični splet, skalabilnost, izraznost, sistemi Semantičnega spleta, poizvedbe
• Work type: Undergraduate thesis
• Organization: FRI - Faculty of Computer and Information Science
• Year: 2016
• PID: 20.500.12556/RUL-81055
• Publication date in RUL: 25.03.2016

Secondary language

• Language: Slovenian
• Title: Expressiveness and Scalability of Semantic Web Systems

Abstract

In this thesis we focus on Semantic Web systems, their expressiveness and scalability. We go through technologies and standards of Semantic Web and compare their expressiveness. Our goal is to research and compare Semantic Web systems and define which are suitable for solving real industry problems. After defining several industry related use cases, we perform a comprehensive analysis and evaluation of selected systems on given problems. Results show that Semantic Web systems are a good option for complicated problems needing high expressiveness. Scaling shows to be a problem, so we propose hybrid solutions as the best choice for industry problems.

• Keywords: Semantic Web, scalability, expressiveness, Semantic Web Systems, querying