{"publication":"Semantic Web Journal","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."}],"title":"Semantic Quran: A Multilingual Resource for Natural-Language Processing","date_updated":"2023-08-16T09:36:14Z","page":"1–5","language":[{"iso":"eng"}],"citation":{"apa":"Sherif, M., & Ngonga Ngomo, A.-C. (2014). Semantic Quran: A Multilingual Resource for Natural-Language Processing. Semantic Web Journal, XXX, 1–5.","chicago":"Sherif, Mohamed, and Axel-Cyrille Ngonga Ngomo. “Semantic Quran: A Multilingual Resource for Natural-Language Processing.” Semantic Web Journal XXX (2014): 1–5.","mla":"Sherif, Mohamed, and Axel-Cyrille Ngonga Ngomo. “Semantic Quran: A Multilingual Resource for Natural-Language Processing.” Semantic Web Journal, vol. XXX, 2014, pp. 1–5.","ieee":"M. Sherif and A.-C. Ngonga Ngomo, “Semantic Quran: A Multilingual Resource for Natural-Language Processing,” Semantic Web Journal, vol. XXX, pp. 1–5, 2014.","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} }","ama":"Sherif M, Ngonga Ngomo A-C. Semantic Quran: A Multilingual Resource for Natural-Language Processing. Semantic Web Journal. 2014;XXX:1–5.","short":"M. Sherif, A.-C. Ngonga Ngomo, Semantic Web Journal XXX (2014) 1–5."},"volume":"XXX","type":"journal_article","keyword":["group\\_aksw SIMBA sys:relevantFor:infai sys:relevantFor:bis ngonga limes simba dice sherif 2014 limes semanticquran"],"year":"2014","author":[{"orcid":"https://orcid.org/0000-0002-9927-2203","first_name":"Mohamed","id":"67234","last_name":"Sherif","full_name":"Sherif, Mohamed"},{"id":"65716","first_name":"Axel-Cyrille","full_name":"Ngonga Ngomo, Axel-Cyrille","last_name":"Ngonga Ngomo"}],"user_id":"67234","_id":"29034","status":"public","date_created":"2021-12-17T10:00:06Z"}