Host: Japan Society for Fuzzy Theory and Intelligent Informatics (SOFT)
We have been developing The Researcher Name Resolver (alpha) that provides a web resource linking service of Japanese researchers registered in KAKEN (Grants-in-aid for Scientific Research under the Ministry of Education, Sports, Culture, Science and Technology). This linking service requires linking technologies for researcher name identification, tackling for the same family name / last name problem and different Chinese characters problem. We analyzed statistically the nature of the same family name / last name researchers in between KAKEN database and researcher databases of 34 universities. Then, we defined an identification method build in our system and conducted a sampling survey. This report describes the research results.
