DocumentCode :
720998
Title :
RAISE: A Whole Process Modeling Method for Unstructured Data Management
Author :
Ling Chen ; Jian Shao ; Zhou Yu ; Jianling Sun ; Fei Wu ; Yueting Zhuang
Author_Institution :
Coll. of Comput. Sci. & Technol., Zhejiang Univ., Hangzhou, China
fYear :
2015
fDate :
20-22 April 2015
Firstpage :
9
Lastpage :
12
Abstract :
Nowadays, unstructured data, e.g., texts, images, and videos, is growing in an explosive speed with the development of Internet and social network. Due to the variety of unstructured data, it is strongly desirable to design a generalized model to represent all kinds of unstructured data and build a system to organize them effectively. In this paper, we first define a generalized data model to represent unstructured data. Above the data model, we further propose RAISE, a whole process modeling method including Repository, Analysis, Index, Search, and Environment. Furthermore, we design a SQL-like unstructured query language (UQL) for flexible accessing the RAISE model. We implement the proposed method in a distributed unstructured data management system named D-Ocean, which is scalable, reliable, and high-available.
Keywords :
SQL; data models; database indexing; distributed databases; D-Ocean; RAISE model; SQL-like unstructured query language; UQL; distributed unstructured data management system; generalized data model; process modeling method; repository-analysis-index-search-and-environment; unstructured data representation; Analytical models; Data models; Database languages; Distributed databases; Feature extraction; Indexes; Videos; unstructured data management; whole process modeling; unstructured query language; D-Ocean;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia Big Data (BigMM), 2015 IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4799-8687-3
Type :
conf
DOI :
10.1109/BigMM.2015.90
Filename :
7153767
Link To Document :
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