@article{(Open Science Index):https://publications.waset.org/pdf/9999433,
	  title     = {Issue Reorganization Using the Measure of Relevance},
	  author    = {William Wong Xiu Shun and  Yoonjin Hyun and  Mingyu Kim and  Seongi Choi and  Namgyu Kim},
	  country	= {},
	  institution	= {},
	  abstract     = {The need to extract R&D keywords from issues and use
them to retrieve R&D information is increasing rapidly. However, it is
difficult to identify related issues or distinguish them. Although the
similarity between issues cannot be identified, with an R&D lexicon,
issues that always share the same R&D keywords can be determined.
In detail, the R&D keywords that are associated with a particular issue
imply the key technology elements that are needed to solve a particular
Furthermore, the relationship among issues that share the same
R&D keywords can be shown in a more systematic way by clustering
them according to keywords. Thus, sharing R&D results and reusing
R&D technology can be facilitated. Indirectly, redundant investment
in R&D can be reduced as the relevant R&D information can be shared
among corresponding issues and the reusability of related R&D can be
improved. Therefore, a methodology to cluster issues from the
perspective of common R&D keywords is proposed to satisfy these
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {8},
	  number    = {10},
	  year      = {2014},
	  pages     = {1767 - 1773},
	  ee        = {https://publications.waset.org/pdf/9999433},
	  url   	= {https://publications.waset.org/vol/94},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 94, 2014},