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 o
f measuring Semantic Similarity in Arabic WordNet
Ontology.
معالجة اللغات الطبيعية
Semantic analysis
استرجاع المعلومات
التلخيص التجريدي
الأنتولوجيا العربية ووردنت
العلاقة الدلالية المفاهيمية
التشابهية الدلالية
التحليل الدلالي
حل غموض معاني الكلمات
(Natural Language Processing (NLP
(Information Retrieval (IR
Abstractive Summarization
(Arabic WordNet (AWN
Conceptual Semantic Relation
Semantic Similarity
(Word Sense Disambiguation (WSD
المزيد..
The ability to search the Web sites has become essential for many people. However many sites have problems in giving the user the needed information. Search operations are typically limited to keyword searches and do not take into consideration the u
nderlying semantics of the content.The present technologies support most languages; Though Arabic is still not well supported. One of the main application areas of Ontology technology is semantics. Although there are many tools for developing
Ontology’s in many languages, Arabic WordNet seems to be the only one that supports Arabic language. In this paper we will define the necessary steps to develop Arabic Ontology for university sites using Arabic WordNet, and check that the developed Ontology is clean.
