---
_id: '29034'
abstract:
- lang: eng
  text: In this paper we describe the Semantic Quran dataset, a multilingual RDF representation
    of translations of the Quran. The dataset was created by integrating data from
    two different semi-structured sources and aligned to an ontology designed to represent
    multilingual data from sources with a hierarchical structure. The resulting RDF
    data encompasses 43 different languages which belong to the most under-represented
    languages in the Linked Data Cloud, including Arabic, Amharic and Amazigh. We
    designed the dataset to be easily usable in natural-language processing applications
    with the goal of facilitating the development of knowledge extraction tools for
    these languages. In particular, the Semantic Quran is compatible with the Natural-Language
    Interchange Format and contains explicit morpho-syntactic information on the utilized
    terms. We present the ontology devised for structuring the data. We also provide
    the transformation rules implemented in our extraction framework. Finally, we
    detail the link creation process as well as possible usage scenarios for the Semantic
    Quran dataset.
author:
- first_name: Mohamed
  full_name: Sherif, Mohamed
  id: '67234'
  last_name: Sherif
  orcid: https://orcid.org/0000-0002-9927-2203
- first_name: Axel-Cyrille
  full_name: Ngonga Ngomo, Axel-Cyrille
  id: '65716'
  last_name: Ngonga Ngomo
citation:
  ama: 'Sherif M, Ngonga Ngomo A-C. Semantic Quran: A Multilingual Resource for Natural-Language
    Processing. <i>Semantic Web Journal</i>. 2014;XXX:1–5.'
  apa: 'Sherif, M., &#38; Ngonga Ngomo, A.-C. (2014). Semantic Quran: A Multilingual
    Resource for Natural-Language Processing. <i>Semantic Web Journal</i>, <i>XXX</i>,
    1–5.'
  bibtex: '@article{Sherif_Ngonga Ngomo_2014, title={Semantic Quran: A Multilingual
    Resource for Natural-Language Processing}, volume={XXX}, journal={Semantic Web
    Journal}, author={Sherif, Mohamed and Ngonga Ngomo, Axel-Cyrille}, year={2014},
    pages={1–5} }'
  chicago: 'Sherif, Mohamed, and Axel-Cyrille Ngonga Ngomo. “Semantic Quran: A Multilingual
    Resource for Natural-Language Processing.” <i>Semantic Web Journal</i> XXX (2014):
    1–5.'
  ieee: 'M. Sherif and A.-C. Ngonga Ngomo, “Semantic Quran: A Multilingual Resource
    for Natural-Language Processing,” <i>Semantic Web Journal</i>, vol. XXX, pp. 1–5,
    2014.'
  mla: 'Sherif, Mohamed, and Axel-Cyrille Ngonga Ngomo. “Semantic Quran: A Multilingual
    Resource for Natural-Language Processing.” <i>Semantic Web Journal</i>, vol. XXX,
    2014, pp. 1–5.'
  short: M. Sherif, A.-C. Ngonga Ngomo, Semantic Web Journal XXX (2014) 1–5.
date_created: 2021-12-17T10:00:06Z
date_updated: 2023-08-16T09:36:14Z
keyword:
- group\_aksw SIMBA sys:relevantFor:infai sys:relevantFor:bis ngonga limes simba dice
  sherif 2014 limes semanticquran
language:
- iso: eng
page: 1–5
publication: Semantic Web Journal
status: public
title: 'Semantic Quran: A Multilingual Resource for Natural-Language Processing'
type: journal_article
user_id: '67234'
volume: XXX
year: '2014'
...
