SemanticQuran

http://aksw.org/Projects/SemanticQuran an entity of type: AlumniProject

dct:abstract

The Semantic Quran dataset is a multilingual RDF representation of translations of the Quran. The dataset was created by integrating data from two different semi-structured sources. The dataset were 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 Linked Data, 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.

xsd:string

related project	NLP Interchange Format (NIF)
site:content	Paper submitted to the Semantic Web Journals special call for Multilingual Linked Open Data (MLOD) 2012: http://www.semantic-web-journal.net/content/semantic-quran-multilingual-resource-natural-language-processing sysont:Markdown
doap:maintainer	Dr. Mohamed Ahmed Sherif
homepage	<http://mlode.nlp2rdf.org/resource/semanticquran/quran1>

inverse relations

is current project of	1 resources Dr. Axel-C. Ngonga Ngomo
is past project of	1 resources Dr. Mohamed Ahmed Sherif

1.91267ms