The Community for Technology Leaders
2016 International Conference on Big Data and Smart Computing (BigComp) (2016)
Hong Kong, China
Jan. 18, 2016 to Jan. 20, 2016
ISSN: 2375-9356
ISBN: 978-1-4673-8795-8
pp: 489-493
Kyuyeol Han , WISEnut Emerging Technology R&D Center, Bundang-gu, Seongnam, Korea
Jun-Hwan Jang , WISEnut Emerging Technology R&D Center, Bundang-gu, Seongnam, Korea
Jaean Lee , WISEnut Emerging Technology R&D Center, Bundang-gu, Seongnam, Korea
Yeongmin Ahn , WISEnut Emerging Technology R&D Center, Bundang-gu, Seongnam, Korea
ABSTRACT
In this paper, we present an algorithm for searching documents related to PAC(Prior Art Candidate) more effectively in the search system built to search them. It extracts keywords from the documents, and utilizes the co-occurrence information obtained as extra feature which is able to describe the documents. It is also used as criterion to get similarity among the documents by applying IRadius. We verify that the suggested method contributes to quality improvement of the PAC search.
INDEX TERMS
Patents, Feature extraction, Q measurement, Probability, Europe, Standards, Euclidean distance
CITATION

Kyuyeol Han, Jun-Hwan Jang, Jaean Lee and Yeongmin Ahn, "Implemetation of retrieval system for Prior Art Candidate search," 2016 International Conference on Big Data and Smart Computing (BigComp)(BIGCOMP), Hong Kong, China, 2016, pp. 489-493.
doi:10.1109/BIGCOMP.2016.7425976
92 ms
(Ver 3.3 (11022016))