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Register a new userTowards a system for constructing Arabic Ontology based on natural text
بناء نواة نظام مساعد على إنشاء أنطولوجية عربية انطلاقاً من النصوص
2003
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نعرض في هذا البحث المنهجية المعتمدة في بناء منصة ArOntoLearn, و هي بيئة عمل تساعد على بناء أنطولوجية عربية اعتماداً على النصوص في الوب، و أهم سمات هذه البيئة أنها تدعم اللغة العربية و تستخدم المعرفة السابقة في إجرائيات التعلم، فضلاً عن أنها تمثل الأنطولوجية الناتجة باستخدام نموذج الأنطولوجية الاحتمالي (Probabilistic Ontology Model (POM الذي يمكن ترجمته إلى أي صيغة تمثيل للمعرفة. يقوم النظام بتحليل الموارد النصية العربية، يقابلها مع نماذج مفرادتية-نحوية بهدف تعّلم مفاهيم و علاقات جديدة. إن دعم اللغة العربية ليس سهلاً نظراً لكون أدوات المعالجة اللغوية المتوافرة غير فعالة كفاية لمعالجة النصوص العربية غير المشكولة التي كذلك نادراً ما تتضمن علامات الترقيم الصحيحة المساعدة على التحليل الصحيح للجمل. لذلك حاولنا بناء بيئة عمل مرنة يمكن إعدادها بسهولة بحيث تُعدلُ أدوات التحليل المستخدمة فيها و تُستَبدلُ بأخرى أكثر تطوراً عند توافرها.
This paper presents ArOntoLearn, a Framework for Arabic Ontology learning from textual resources. Supporting Arabic language and using domain knowledge in the learning process are the main features of our framework. Besides it represents the learned ontology in Probabilistic Ontology Model (POM), which can be translated into any knowledge representation formalism, and implements data-driven change discovery. Therefore it updates the POM according to the corpus changes only, and allows user to trace the evolution of the ontology with respect to the changes in the underlying corpus. Our framework analyses Arabic textual resources, and matches them to Arabic Lexico-syntactic patterns in order to learn new Concepts and Relations. Supporting Arabic language is not that easy task, because current linguistic analysis tools are not efficient enough to process unvocalized Arabic corpuses that rarely contain appropriate punctuation. So we tried to build a flexible and freely configured framework whereas any linguistic analysis tool can be replaced by more sophisticated one whenever it is available.
References used
John.son, C., Fillmore, C., Petruck, M. Baker, C., Ellsworth, M., Ruppenhofer, J., and Wood, E. 2002. FrameNet: Theory and Practice, from http://www.icsi.Berkeley.edu / framenet
Josef Ruppenhofer, MichaelEllsworth, Miriam R. L. Petruck, Christopher R. Johnson, Jan Scheffczyk. "Frame Net II :Extended Theory and Practice", 2006
WordNet. Retrieved June 2009, from http//:www.globalwordnet.org
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