Exploiting Arabic Wikipedia for Automatic Ontology Generation: a Proposed Approach
Authors | Nora I. Al-Rajebah Hend S. Al-Khalifa AbdulMalik S. Al-Salman |
|---|---|
Publication date | 2011 |
DOI | 10.1109/STAIR.2011.5995767 |
Links | Original |
Exploiting Arabic Wikipedia for Automatic Ontology Generation: a Proposed Approach - scientific work related to Wikipedia quality published in 2011, written by Nora I. Al-Rajebah, Hend S. Al-Khalifa and AbdulMalik S. Al-Salman.
Overview
Ontological models play an important role in the Semantic Web. Despite being widely spread, there are a few known attempts to build ontologies for the Arabic language. As a result, a lack of Arabic Semantic Web applications is encountered. In this paper, authors propose an approach to build ontologies automatically for the Arabic language from Wikipedia. Authors approach relies on the semantic field theory such that any Wikipedian article is analyzed to extract semantic relations using its infobox and the list of categories. Authors will also present system architecture along with an initial evaluation to evaluate the effectiveness and correctness of the resultant ontological model.
Embed
Wikipedia Quality
Al-Rajebah, Nora I.; Al-Khalifa, Hend S.; Al-Salman, AbdulMalik S.. (2011). "[[Exploiting Arabic Wikipedia for Automatic Ontology Generation: a Proposed Approach]]".DOI: 10.1109/STAIR.2011.5995767.
English Wikipedia
{{cite journal |last1=Al-Rajebah |first1=Nora I. |last2=Al-Khalifa |first2=Hend S. |last3=Al-Salman |first3=AbdulMalik S. |title=Exploiting Arabic Wikipedia for Automatic Ontology Generation: a Proposed Approach |date=2011 |doi=10.1109/STAIR.2011.5995767 |url=https://wikipediaquality.com/wiki/Exploiting_Arabic_Wikipedia_for_Automatic_Ontology_Generation:_a_Proposed_Approach}}
HTML
Al-Rajebah, Nora I.; Al-Khalifa, Hend S.; Al-Salman, AbdulMalik S.. (2011). "<a href="https://wikipediaquality.com/wiki/Exploiting_Arabic_Wikipedia_for_Automatic_Ontology_Generation:_a_Proposed_Approach">Exploiting Arabic Wikipedia for Automatic Ontology Generation: a Proposed Approach</a>".DOI: 10.1109/STAIR.2011.5995767.
