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Register a new userSpeeding Up Ontology-Based Free-Form Service Request Recognition
تسريع تعرّف طلبات الخدمة المعتمدة على الأنتولوجي
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Added by
Damascus University ورقة بحثية
Publication date
2011
fields
Mathematics
and research's language is
العربية
Authors
محمد جاسم المحمد( باحث )
Created by
Shamra Editor
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قمنا في بحوث سابقة بتطوير نظام معتمد على الأنتولوجي يلبي هذين المتطلبين و يوفر العديـد مـن الخدمات نذكر منها: أخذ مواعيد من مخدمين (المحامين، الأطباء، إلخ)، إقامة إجتماعات، عمليات البيـع و الشراء على الوب، تحضيرات السفر (شراء بطاقات طائرات، حجز مكان الإقامة، ...)، و غيرها كثيـر. يمكّن هذا النظام المستخدمين من توصيف الخدمات التي يرغبون فيها بلغة طبيعية (الإنكليزية) و من ثـم يقوم النظام بتوليد الخدمة المطلوبة آلياً و من ثم تخديم المستخدم. و يمكّن مطوري الخدمـة مـن تطـوير خدمة جديدة من خلال توصيف الأنتولوجي المناسب لهذه الخدمة فقط دون كتابة أي برامج حاسوبية. على الرغم من قوة نظامنا الحاسوبي في توفير الخدمات بسهولة للمستخدمين، هناك مشكلة كبيرة مع هذا النظام تتعلق بعملية مطابقة طلب خدمة مع الأنتولوجي المناسب. هذه العملية تحتاج إلى وقت طويل بسبب العدد الكبير للأنتولوجيات المتوافرة و عملية المحاكمة المنطقية اللازمة لتحديد الأنتولوجي المناسب للخدمة. و من ثم تقل كفاءة النظام بشكل كبير عندما تزداد أعداد الأنتولوجيات المتوافرة للنظام (هذه المشكلة معروفة علمياً بــ Problem Scalability .(يقدم هذا البحث حلاً فعالاً لهذه المشكلة. نستخدم في هذا الحل تقنيتين لتقليل الزمن اللازم لمطابقة طلب الخدمة مع الأنتولـوجي المناسـب. التقنيـة الأولـى و تـسمى فهرسـة الأنتولوجيـات (Indexing Ontology (و هدفها تقليل عدد التعابير النظامية (Expression Regular (المستخدمة فـي أثناء مطابقة طلب الخدمة مع الأنتولوجيات. في هذه التقنية يجري تطبيق التعابير النظاميـة المـشتركة بـين الأنتولوجيات مرة واحدة بدلاً من تطبيقها عدداً من المرات مساوياً لعدد الأنتولوجيات التي تحوي هذه التعابير. التقنية الثانية و تسمى المطابقة الثنائية الطور (Process Pass-Two (و هدفها استبعاد التعابير النظامية التي نعلم أنها غير قابلة للتطبيق على طلب الخدمة الحالي و بزمن أقل بكثير من الزمن اللازم للتطبق علـى كامـل التعبير النظامي. أثبتت التجارب التي أجريت أن الحل المطروح في هذا البحث هو حل فعـال و يقـوم بتـسريع عملية المطابقة بشكل كبير؛ مما يزيد من قدرة النظام على التعامل مع أي عدد من الأنتولوجيات. يمكن تلخيص الإسهامات العلمية لهذا البحث بالنقاط الآتية: 1 .استخدام تقنية فهرسة الأنتولوجيات (Indexing Ontology (لتقليل عدد التعابير النظامية المطبقة على طلب خدمة معين و من ثم تقليل الزمن اللازم للمطابقة. 2 .استخدام عملية مطابقة ثنائية الطور (Process Pass-Two (لاكتشاف التعابير النظامية غير القابلة للتطبيق على طلب الخدمة مبكراً و بزمن أقل و من ثم تفادي تطبيقها الكامل على طلب الخدمة.
We offered, in a previous paper, an ontology-based approach to recognize constraints in free-form service requests and provide services for users. Our system handles a service request by finding, from among many ontologies, the domain ontology that best matches the request and then uses the matched ontology to generate the service request constraints. Although our system is powerful in recognizing constraints and therefore servicing requests, the recognition process is a bottleneck due to the number of the tested ontologies and the amount of computations involved. This paper provides a novel approach to speed up the recognition process by (1) using ontology indexing and (2) excluding inapplicable regular expressions early in the process and thus reducing the number of applied regular expressions. Our experiments show that our techniques are effective in significantly reducing the amount of computations and therefore speeding up the recognition process.
References used
Muhammed J. Al-Muhammed and David W. Embley. Resolving Underconstrained and Overconstrained Systems of Conjunctive Constraints for Service Requests. In Proceedings of the 18th International Conference on Advanced Information Systems Engineering (CAiSE06), pages 223–238, Luxembourg, June 2006
Muhammed J. Al-Muhammed and David W. Embley. Ontology-Based Constraint Recognition for Free-Form Service Requests. In Proceedings of the 23rd International Conference on Data Engineering (ICDE 2007), pages 366–375, Istanbul, Turkey, April 2007
Muhammed J. Al-Muhammed, David W. Embley, and Stephen W. Liddle. Conceptual Model Based Semantic Web Services. In Proceedings of the 24th International Conference on Conceptual Modeling (ER 2005), pages 288–303, Klagenfurt, Austria, October 2005
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