• Journal of the Korean Society for information Management
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• v.29 no.2
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• pp.7-25
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• 2012

The proliferating use of e-journals has led increasing interest in collecting and analyzing usage statistic information. However, the existing manual method and simple journal usage reports provided by publishers hinder the effective collection of large-scale usage statistics and the comprehensive/in-depth analysis on them. Thus we have proposed a hybrid automatic method of collecting e-journal usage statistics based on screen scraping and SUSHI protocol. In addition, the generation method of summary statistics presented in graphs, charts and tables has been suggested in this study. By utilizing the suggested system and analysis data, librarians can compose various reports on budget or operation of the libraries.

• The Journal of Society for e-Business Studies
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• v.19 no.4
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• pp.61-72
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• 2014

Recently usage on digital scholarly information has been analyzed with various respects by various parties since the rapid expansion of digital scholarly information use and the increasing availability of large-scale log data. Nevertheless, no standard platform for distributing usage statistics of scholarly information at the national scale has been suggested so far. Therefore, this paper suggests a generalized SUSHI (Standardized Usage Statistics Harvesting Initiative) platform for distributing usage statistics of digital scholarly information at the national scale.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.8 no.3
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• pp.27-33
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• 2009

Content used in mashups is typically obtained from a third party source through a public interface or API (web services). Other methods of obtaining content for mashups include Web feeds (e.g. RSS or Atom), and screen scraping. A mashup or meshup Web application has two parts: A new service delivered through a Web page, using its own data and data from other sources. The blended data, made available across the Web through an API or other protocols such as HlTP, RSS, REST, etc. There are many types of mashups, such as consumer mashups, data mashups, and Business Mashups. The most common mashup is the consumer mashup, which are aimed at the general public. Examples include Google Maps, iGuide, and RadioClouds. 4D Wall-map display is data mashups combine similar types of media and information from multiple sources into a single representation. This technology focus data into a single presentation and allow for collaborative action among ITS-related information sources.