An Architecture for Unstructured Data Management

DOI

10.2991/iccia.2012.109How to use a DOI?

Keywords

unstructured data, classification, storage

Abstract

As the information age is coming, there is a vast amount of information available in the Internet. Most of data on Web are unstructured. But the significant data should be organized and stored in a suitable way for future purposes. One of the unsolved problems is the management of unstructured data. The unstructured data such as presentation, spreadsheet, text document, memo, images and web pages are difficult to manage while the data become a large scale and the users have different requirements and interests. In this paper, we proposed an architecture for unstructured data management by integrating source query, data collection and data management to solve these problems. The data collection layer extracts the data we care about, we use the existing tools to extract automatic and we can also add the data to the repository manually. The data management layer manage all the collection data by classifying the data, selecting nodes to store and managing centralized as index. The source query layer allows users to query and get the data diversity according the adaptive query service and recommendation service. Finally, we implemented a prototype system OCourse based on this system architecture to show it’s feasible and efficient.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Yaohu Lin
AU  - Xuelian Lin
PY  - 2014/05
DA  - 2014/05
TI  - An Architecture for Unstructured Data Management
BT  - Proceedings of the 2012 2nd International Conference on Computer and Information Application (ICCIA 2012)
PB  - Atlantis Press
SP  - 454
EP  - 457
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccia.2012.109
DO  - 10.2991/iccia.2012.109
ID  - Lin2014/05
ER  -