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Research Article | Open Access |

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) · Vol. 9, No. 1 · Published 2018 · Cited by 36

DOI: https://doi.org/10.14569/IJACSA.2018.090107

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

How to Cite this Article

Jacksi, K., Zeebaree, S. R. M., & Dimililer, N. (2018). LOD Explorer: Presenting the Web of Data. International Journal of Advanced Computer Science and Applications, 9(1). https://doi.org/10.14569/IJACSA.2018.090107

Jacksi, Karwan, et al.. "LOD Explorer: Presenting the Web of Data." International Journal of Advanced Computer Science and Applications, vol. 9, no. 1, 2018, https://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},
  volume    = {9},
  number    = {1},
  year      = {2018},
  publisher = {The Science and Information Organization},
  author    = {Karwan Jacksi and Subhi R. M. Zeebaree and Nazife Dimililer},
  doi       = {10.14569/IJACSA.2018.090107},
  url       = {https://doi.org/10.14569/IJACSA.2018.090107}
}

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