A Conceptual Framework for Linked Open Islamic Knowledge

Authors

  • Amna Basharat University of Georgia
  • Khaled Rasheed University of Georgia
  • I. Budak Arpinar University of Georgia

Keywords:

human computation, crowdsourcing, Islamic knowledge, linked open data

Abstract

The Linked Open Data (LOD) approach has emerged as the de facto standard for sharing and publishing the data on the web. The domain of Islamic knowledge, in particular, and religious knowledge, in general, has failed to cache upon the promised potential of the semantic web and the linked data technology; web-scale integration of these knowledge resources is currently not facilitated at a large scale. This paper presents the emerging vision and the need for Linked Open Islamic Knowledge, its requirements and foundations. The important challenges and limitations of the existing research landscape are highlighted in an attempt to analyze why it fails to meet the requirements of meeting the vision at hand. A conceptual framework that would functionally fulfill the Islamic LOD vision is presented. A brief insight is also provided to hint at the need and the role of Human Computation & Crowdsourcing (HC&C) methods and how they may facilitate the realization of the proposed vision.

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Published

2016-06-15