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DOI: 10.14569/IJACSA.2018.090107
PDF

LOD Explorer: Presenting the Web of Data

Author 1: Karwan Jacksi
Author 2: Subhi R. M. Zeebaree
Author 3: Nazife Dimililer

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 9 Issue 1, 2018.

  • Abstract and Keywords
  • How to Cite this Article
  • {} BibTeX Source

Abstract: The quantity of data published on the Web according to principles of Linked Data is increasing intensely. However, this data is still largely limited to be used up by domain professionals and users who understand Linked Data technologies. Therefore, it is essential to develop tools to enhance intuitive perceptions of Linked Data for lay users. The features of Linked Data point to various challenges for an easy-to-use data presentation. In this paper, Semantic Web and Linked Data technologies are overviewed, challenges to the presentation of Linked Data is stated, and LOD Explorer is presented with the aim of delivering a simple application to discover triplestore resources. Furthermore, to hide the technical challenges behind Linked Data and provide both specialist and non-specialist users, an interactive and effective way to explore RDF resources.

Keywords: Semantic web; linked open data; linked data browsers; exploratory search systems; RDF; SPARQL

Karwan Jacksi, Subhi R. M. Zeebaree and Nazife Dimililer, “LOD Explorer: Presenting the Web of Data” International Journal of Advanced Computer Science and Applications(IJACSA), 9(1), 2018. http://dx.doi.org/10.14569/IJACSA.2018.090107

@article{Jacksi2018,
title = {LOD Explorer: Presenting the Web of Data},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2018.090107},
url = {http://dx.doi.org/10.14569/IJACSA.2018.090107},
year = {2018},
publisher = {The Science and Information Organization},
volume = {9},
number = {1},
author = {Karwan Jacksi and Subhi R. M. Zeebaree and Nazife Dimililer}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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