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DOI: 10.14569/IJACSA.2019.0100527
PDF

Domain and Schema Independent Semantic Model Verbalization: A Conceptual Overview

Author 1: Kaneeka Vidanage
Author 2: Noor Maizura Mohamad Noor
Author 3: Rosmayati Mohemad
Author 4: Zuriana Abu Bakar

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 10 Issue 5, 2019.

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

Abstract: Semantic Web-based technologies have become extremely popular and its a success that has spread across many domains, additional to the computer science domain. Nevertheless, the reusability aspects associated with the created and available semantic knowledge models are very low. The main bottleneck associated with this issue is, the difficulty associated in understanding the complex schema of a knowledge model created and barriers associated with querying the knowledge models using SPARQL or SQWRL query formulations. This research emphasizes on proposing a verbalizer which can go beyond existing Controlled Natural Language (CNL) type verbalizers and to verbalizer knowledge stored in a knowledge model file written in either RDF or OWL format, despite its domain and schematics.

Keywords: Ontology; OWL; RDF; Verbalize; Schema

Kaneeka Vidanage, Noor Maizura Mohamad Noor, Rosmayati Mohemad and Zuriana Abu Bakar, “Domain and Schema Independent Semantic Model Verbalization: A Conceptual Overview” International Journal of Advanced Computer Science and Applications(IJACSA), 10(5), 2019. http://dx.doi.org/10.14569/IJACSA.2019.0100527

@article{Vidanage2019,
title = {Domain and Schema Independent Semantic Model Verbalization: A Conceptual Overview},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2019.0100527},
url = {http://dx.doi.org/10.14569/IJACSA.2019.0100527},
year = {2019},
publisher = {The Science and Information Organization},
volume = {10},
number = {5},
author = {Kaneeka Vidanage and Noor Maizura Mohamad Noor and Rosmayati Mohemad and Zuriana Abu Bakar}
}



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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