Abstract: The constantly growing data volume at the companies along with the necessity for finding information for the shortest possible time span involves methods of information search different from the ones conventionally used. The semantic technologies, developed in the late 90s and the beginning of the new century, are viewed as a new generation of databases and as text analyzing technologies. The present paper deals with researching the opportunities and examining the advantages of applying the semantic web technologies and the linked data for online newspapers. Besides, a RDF-based ontology for the purposes of a system for study and evaluation of online editions of regional daily newspapers is proposed. SPARQL endpoint is implemented to access the RDF data.

Tsvetanka Georgieva-Trifonova and Tihomir Stefanov, “Applying Linked Data Technologies for Online Newspapers” International Journal of Advanced Computer Science and Applications(IJACSA), 6(5), 2015. http://dx.doi.org/10.14569/IJACSA.2015.060505

@article{Georgieva-Trifonova2015,
title = {Applying Linked Data Technologies for Online Newspapers},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2015.060505},
url = {http://dx.doi.org/10.14569/IJACSA.2015.060505},
year = {2015},
publisher = {The Science and Information Organization},
volume = {6},
number = {5},
author = {Tsvetanka Georgieva-Trifonova and Tihomir Stefanov}
}