Abstract
In the last decades, the evolution of ICT has been spectacular, having a major impact on all the other sectors of activity. New technologies have emerged, coming up with solutions to existing problems and opening up new opportunities. This article discusses solutions that combine big data, semantic web and cloud computing technologies. The authors analyze various possibilities of storing large volumes of data in triplestore databases, which are currently the matter of choice for storing semantic web data. The paper first presents the existing solutions for installing triplestores on the premises and then focuses on triplestores as DBaaS (in cloud). Comparative analyzes are made between the various identified solutions. This paper provides useful means for choosing the most appropriate database solution for semantic web data representation, both on premises or as DBaaS.
Highlights
One of the main limitations of the WorldWide Web is that it was not designed to be machine-readable, but only human-understandable
In 1994, at the very first International WWW Conference, five years after he invented the World Wide Web, Tim Berners-Lee introduced the idea of a semantic web that can be understood by machines [1]
Berners-Lee at the same conference where he announced the need for semantic web [1]
Summary
Wide Web (abbreviated WWW) is that it was not designed to be machine-readable, but only human-understandable. In 1994, at the very first International WWW Conference, five years after he invented the World Wide Web, Tim Berners-Lee introduced the idea of a semantic web that can be understood by machines [1]. The maximum potential of this approach can be reached if all the resources on the WWW have an associated URI and are connected with as many other resources as possible by triples. In this scenario, the WWW becomes a large unified database where information from more websites can be automatically extracted and correlated by simple queries.
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