دانلود رایگان مقاله انگلیسی پیشرفت های پایگاه داده ها و سیستم های اطلاعاتی - اشپرینگر 2017

عنوان فارسی
پیشرفت های پایگاه داده ها و سیستم های اطلاعاتی
عنوان انگلیسی
Advances in Databases and Information Systems
صفحات مقاله فارسی
0
صفحات مقاله انگلیسی
6
سال انتشار
2017
نشریه
اشپرینگر - Springer
فرمت مقاله انگلیسی
PDF
کد محصول
E6853
رشته های مرتبط با این مقاله
مهندسی کامپیوتر، فناوری اطلاعات
گرایش های مرتبط با این مقاله
مدیریت سیستمهای اطلاعات
مجله
مرزهای سیستم های اطلاعات - Information Systems Frontiers
دانشگاه
LIAS/ISAE-ENSMA - Poitiers University - Poitiers - France
بخشی از متن مقاله

2 Databases Research Challenges


The database and information systems technologies raise a good number of research challenges and in this section, we will discuss some of the most important ones, which are related to ADBIS conference, which represents the origin of this special section.


The ADBIS conference is one of concrete examples of these efforts. The ADBIS conference has been widely accepted as a key technology for enterprises and organizations to improve their abilities in data modeling, data management, data exploitation and information systems. The ADBIS conference has attracted the international interest of the research community and is being mentioned in several ranking lists and indexed in several digital libraries (e.g. DBLP, Google Scholar, Microsoft Academic Search).


The first challenge we would like to discuss is the management of evolution of new advanced databases. Methodologies and techniques used for designing advanced databases (data integration systems, data warehouses, data marts, etc.), research developments, and most of the commercially available technologies tacitly assumed that a semantic integration system is static (Bellatreche and Wrembel 2013). In practice, however, this assumption turned out to be false. An advanced database system requires changes among others as the result of: (1) the evolution of data sources, (2) changes of the real world represented in an integration system, (3) the evolution of domain ontologies and knowledge bases (such as DBpedia, FreeBase, Linked Open Data Cloud, Yago, etc.) usually involved in the construction of these databases, (4) new user requirements, and (5) creating simulation scenarios (what-if analysis).


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