| Fakhri Karray|
(Alternative names for this author)
|Co-authors||Hassan M.M., Kamel M.S., Milad Alemzadeh, Richard Khoury|
|Authorship||Publications (3), datasets (0), tools (0)|
|Citations||Total (0), average (0), median (0), max (0), min (0)|
|DBLP · Google Scholar|
|Export and share|
|BibTeX, CSV, RDF, JSON|
|Browse properties · List of authors|
Fakhri Karray is an author.
PublicationsOnly those publications related to wikis are shown here.
|Title||Keyword(s)||Published in||Language||DateThis property is a special property in this wiki.||Abstract||R||C|
|Automatic Document Topic Identification using Wikipedia Hierarchical Ontology||2012 11th International Conference on Information Science, Signal Processing and their Applications, ISSPA 2012||English||2012||The rapid growth in the number of documents available to end users from around the world has led to a greatly-increased need for machine understanding of their topics, as well as for automatic grouping of related documents. This constitutes one of the main current challenges in text mining. In this work, a novel technique is proposed, to automatically construct a background knowledge structure in the form of a hierarchical ontology, using one of the largest online knowledge repositories: Wikipedia. Then, a novel approach is presented to automatically identify the documents' topics based on the proposed Wikipedia Hierarchical Ontology (WHO). Results show that the proposed model is efficient in identifying documents' topics, and promising, as it outperforms the accuracy of the other conventional algorithms for document clustering.||0||0|
|Exploring wikipedia's category graph for query classification||Category labeling
Natural Language Processing
|An Efficient Method for Tagging a Query with Category Labels Using Wikipedia towards Enhancing Search Engine Results||Web Query