@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 issue. 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 demands. }, 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}, }