NDLI: A conceptual design of a web information extraction and data analysis learning framework

Content Provider	IEEE Xplore Digital Library
Author	Chun-Hsiung Tseng Yung-Hui Chen Yan-Ru Jiang
Copyright Year	2015
Description	Author affiliation: Dept. of Comput. Inf. & Network Eng., Univ. of Sci. & Technol., Taoyuan, Taiwan (Yung-Hui Chen) \|\| Dept. of Inf., Nanhua Univ., Chiayi, China (Chun-Hsiung Tseng) \|\| Dept. of Inf. Manage., Nanhua Univ., Chiayi, China (Yan-Ru Jiang)
Abstract	The Web is flooded with data. However, there is a huge gap between data and information. Collecting, normalization, and analyzation are required steps to transform data into information. However, HTML is document-centric rather than data-centric. Extracting large amounts of data from the Web is a time consuming and tedious task, but information technologies can only provide little help, especially when users lack of domain knowledge. In this research, the conceptual design of a Web information extraction and data analysis framework is proposed. The framework helps data analysts go through the required steps. Furthermore, our design is suitable for inexperienced beginners in data analyzation field since some assistant modules have been considered.
Starting Page	124
Ending Page	127
File Size	383957
Page Count	4
File Format	PDF
e-ISBN	9781467382700
DOI	10.1109/UMEDIA.2015.7297441
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-08-24
Publisher Place	Sri Lanka
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Learning Data Analyzation Data analysis Web pages Information Extraction Data Mining Software agents Grammar Data mining
Content Type	Text
Resource Type	Article

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