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