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  1. University of Computer Studies, Yangon
  2. Faculty of Computer Science

Efficient Indexing and Searching Framework for Unstructured Data

http://hdl.handle.net/20.500.12678/0000005016
http://hdl.handle.net/20.500.12678/0000005016
d928dcbd-c9b8-4925-9047-eab4de86152e
f7c056b4-0415-46b9-8df8-9be9cb8ba23e
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ICSCT2011(KyarNyoAye).pdf ICSCT2011(KyarNyoAye).pdf (249 Kb)
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Article
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Publication
Title
Title Efficient Indexing and Searching Framework for Unstructured Data
Language en
Publication date 2011-12-10
Authors
Aye, Kyar Nyo
Thein, Ni Lar
Description
The proliferation of unstructured data continues to grow within organizations of all types. This data growth hasintroduced the key question of how we effectively find and manage them in the growing sea of information. As a result,there has been an increasing demand for efficient search on them. Providing effective indexing and search onunstructured data is not a simple task. Unstructured data include documents, images, audio, video and so on. In thispaper, we propose an efficient indexing and searching framework for unstructured data. In this framework, text-basedand content-based approaches are incorporated for unstructured data retrieval. Our retrieval framework can supportvarious types of queries and can accept multimedia examples and metadata-based documents. The aim of this paper is touse various features of multimedia data and to make content-based multimedia retrieval system more efficient.
Keywords
unstructured data, indexing, content-based retrieval
Identifier http://onlineresource.ucsy.edu.mm/handle/123456789/912
Journal articles
International Conference on Software and Computing Technology (ICSCT), Singapore
Conference papers
Books/reports/chapters
Thesis/dissertations
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