Improving Arabic Information Retrieval Results Semantically Using Ontology
published by Aِl-Baath University
in 2016
in
and research's language is
العربية
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Abstract in English
This research proposes a new way to improve the
search outcome of Arabic semantics by abstractly summarizing the
Arabic texts (Abstractive Summary) using natural language
processing algorithms(NLP),Word Sense Disambiguation (WSD)
and techniques of measuring Semantic Similarity in Arabic WordNet
Ontology.
References used
Luhn, P., 1958, The Automatic Creation of Literature Abstracts, IBM Journal, April
Salton, G., MichaelJ., 1986, Introduction to Modern Information Retrieval, McGrawHill, Inc., New York, NY, USA
I.Fathy, D., Aref, M., 2012, Rich Semantic Representation Based Approach for Text Generation, The 8th International conference on Informatics and systems