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On Distributed Querying of Linked Data

Publication at Faculty of Mathematics and Physics |
2012

Abstract

The concept of Linked Data has appeared recently in order to allow publishing data on the Web in a more suitable form enabling automated processing by programs and not only by human users. Linked Data are based primarily on RDF triples, which are also modeled as graph data.

Despite the research effort in recent years, several questions in the area of Linked Data indexing and querying remain open, not only since the amount of Linked Data globally available significantly increases each year. Our ongoing research effort should result in a proposal of a new querying system dealing with several disadvantages of the existing approaches identified in our previous work.

They are especially related to data scaling, dynamicity and distribution.