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Register a new userImproving Arabic Information Retrieval Results Semantically Using Ontology
تحسين نتائج استرجاع المعلومات العربية دلالياً باستخدام الأنتولوجيا
1993
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يهدف هذا البحث إلى اقتراح طريقة لتحسين نتائج استرجاع المعلومات العربية دلالياً و ذلك بتلخيص النصوص تجريدياً (Abstractive Summary) باستخدام خوارزميات معالجة اللغات الطبيعية (NLP), حل غموض معاني الكلمات (WSD) و قياس التشابهية الدلالية (Semantic Similarity) فيما بينها باستخدام الأنتولوجيا العربية Arabic WordNet.
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
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تحتل الدراسات التي تتناول حوسبة اللغة العربية أهمية كبيرة نظراً للانتشار الواسع للغة العربية , و اخترنا في هذه الدراسة العمل على معالجة اللغة العربية من خلال نظام استرجاع معلومات للمستندات باللغة العربية , الفكرة الأساسية لهذا النظام هو تحليل المستن
دات والنصوص العربية و إنشاء فهارس للمصطلحات الواردة فيها , ومن ثم استخلاص أشعة أوزان تعبر عن هذه المستندات من أجل المعالجة اللاحقة للاستعلام و المقارنة مع هذه الأشعة للحصول على المستندات الموافقة لهذا الاستعلام .
من خلال عملية تجريد للمصطلحات الواردة في المستندات تم الحصول على كفاءة استرجاع أفضل , و تعرضنا للعديد من خوارزميات التجريد التي وصلت إليها الدراسات السابقة .
و تأتي عملية عنقدة المستندات كإضافة هامة , حيث يتمكن المستخدم من معرفة المستندات المشابهة لنتيجة البحث و التي لها صلة بـالاستعلام المدخل .
في التطبيق العملي , تم العمل على نظام استرجاع معلومات مكتبي , يقوم بقراءة نصوص ذات أنواع مختلفة و عرض النتائج مع العناقيد الموافقة لها .
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