Title :
Managing a Large Shared Bank of Unstructured Data by Using Free-Table
Author :
Zhang, Xiao ; Du, Xiaoyong ; Chen, Jinchuan ; Wang, Shan
Author_Institution :
Key Lab. of Data Eng. & Knowledge Engineerging, Renming Univ. of China, Beijing, China
Abstract :
This paper presents a reference framework, called BUD, to manage a large shared bank of unstructured data. This paper lists several important issues on managing or maintaining the unstructured data in BUD. BUD stores and manages the ever-growing unstructured data by introducing a novel technique called free-table, which is a conceptual view for end-users and a physical entity maintained by transactional storage manager of BUD. Free-table is cell-oriented but not column-oriented as relational table. It can store various types of unstructured data in cell with different versions. Additionally, we study two cases, VMP and PXRDB, to show that our proposal is feasible and tractable.
Keywords :
data handling; data structures; relational databases; BUD; PXRDB; VMP; end users entitiy; free table; large shared bank; physical entity; relational table; transactional storage manager; unstructured data; Conference management; Data engineering; Data mining; Data models; Engineering management; Knowledge engineering; Knowledge management; Maintenance engineering; Proposals; Relational databases; BUD; Free-Table; PXRDB; Unstructured Data; VMP;
Conference_Titel :
Web Conference (APWEB), 2010 12th International Asia-Pacific
Conference_Location :
Busan
Print_ISBN :
978-1-7695-4012-2
Electronic_ISBN :
978-1-4244-6600-9
DOI :
10.1109/APWeb.2010.78