A Study on Developing and Refining a Large Citation Service System
Today, citation index information is used as an outcome scale of spreading technology and encouraging research. Article citation information is an important factor to determine the authority of the relevant author. Google Scholar uses the article citation information to organize academic article sea...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Research Institute for Knowledge Content Development & Technology
2013-06-01
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| Series: | International Journal of Knowledge Content Development and Technology |
| Subjects: | |
| Online Access: | http://ijkcdt.net/xml/00654/00654.pdf |
| Summary: | Today, citation index information is used as an outcome scale of spreading technology and encouraging research. Article citation information is an important factor to determine the authority of the relevant author. Google Scholar uses the article citation information to organize academic article search results with a rank algorithm. For an accurate analysis of such important citation index information, large amounts of bibliographic data are required. Therefore, this study aims to build a fast and efficient system for large amounts of bibliographic data, and to design and develop a system for quickly analyzing cited information for that data. This study also aims to use and analyze citation data to be a basic element for providing various advanced services to the academic article search system. |
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| ISSN: | 2234-0068 2287-187X |