Holistic evaluation in multi-model databases benchmarking

Towards Benchmarking Multi-Model Databases

teacher educator evaluation model

اگرکیفیت معلم کلاس برای بهبودیادگیری دانش آموزحیاتی است،پس کیفیت اساتیددانشجو-معلمان، یابه عبارتی معلمین معلمان نیزبرای پیشرفت آموزش بسیارمهم واساسی است.ناگفته پیداست که یک سیستم مناسب آموزش معلمان ،معلمین با کیفیتی را تربیت خواهدکرد.که این کار منجربه داشتن مدارس خوب، ودرنتیجه نیروی کارماهرتروشهروندبهتربرای جامعه خواهدشد. اساتیددانشجو-معلمان نقشی بسیارمهم را در سیستم اموزش معلمان درسراسرجهان ای...

HOBBIT: Holistic Benchmarking of Big Linked Data

This report describes the results of the tasks related to the first version of the question answering benchmark. It includes a description of the work that has been carried out as well as a detailed description of the different available experiments. The information in this document reflects only the author’s views and the European Community is not liable for any use that may be made of the inf...

Holistic, Evolving and Multi-viewpoints Learner Model

In this paper, we present our proposal of a learner model for the personalization of learning in distance and on line learning environments. The current researches on semantic referential with ontologies and the semantic web allow us to believe in the importance of the integration of semantic in actor modeling. We propose a learner model that is competency oriented and that integrates the learn...

HOBBIT: Holistic Benchmarking for Big Linked Data

Project Overview. Linked Data has gained significant momentum over the last years and is now used at industrial scale in many sectors including bio-medicine, plant manufacturing, smart cities, content creation and management, data journalism, asset management and storage, banking and many more. In these sectors, an increasingly large amount (volume) of rapidly changing (velocity) data in differ...