Abstract
In recent years, the demand for improved transparency and sharing of data from government organizations, private companies, and data information centers has been increasing. However, the public release of metadata alone is of limited impact. In order to ensure the integrity of such reciprocal interactions, secure individual data identification is required. The present study attempts to analyze methods for reciprocal identification of metadata comprising scientific or technical content that may have diverse origins, such as domestic and foreign dissertations, domestic patents, and domestic research reports.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
http://europa.eu/rapid/press-release_IP-14-761_en.htm (accessed August 19, 2015)
http://www.msip.go.kr/www/brd/m_211/view.do?seq=2068 (accessed August 19, 2015)
http://icon.ndsl.kr/i_trend/icon_trendDetail.jsp?record_no=968&trendType=O (accessed August 25, 2015)
Lee, S.H., Kwak, S.J.: A Study on the based on FRAD Conceptual Model based Authority Data Scheme for Academic Papers. Journal of the Korean Society for Library and Information Science 45(3), 235–257 (2011). doi:10.4275/KSLIS.2011.45.3.235
Cho, J.I.: A Study on the Construction Methods for Author Identification System of Research Outcome based on ORCID. Journal of the Korean BIBLIA Society for Library and Information Science 24(1), 45–62 (2013)
Kang, I.S.: Application of Machine Learning Techniques for Resolving Korean Author Names. Journal of the Korean Society for Information Management 25(3), 29–39 (2008). doi:10.3743/KOSIM.2008.25.3.027
Kang, I.S., Kim, P., Lee, S.W., Jung, H.M., You, B.J.: A Large-scale Test Set for Author Disambiguation. International Journal of Contents 9(11), 455–464 (2009)
Kim, T.H., Jung, H.M., Sung, W.K., Kim, P.: Author Entity Identification using Representative Properties in Linked Data. International Journal of Contents 12(1), 17–29 (2012). doi:10.5392/JKCA.2012.12.01.017
Huang, J., Ertekin, S., Giles, C.L.: Fast Author Name Disambiguation in CiteSeer. ISI Technical Report, pp. 1–13 (2006)
Pitts, M., Savvana, S., Roy, S.B., Mandava, V., Prasath, D.: ALIAS: author disambiguation in microsoft academic search engine dataset. In: Open Proceedings, pp. 648–651 (2014)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer Science+Business Media Singapore
About this paper
Cite this paper
Kim, KY., Lee, SH., Yoon, JS., You, BJ. (2015). Author Identification and Analysis for Papers, Reports and Patents. In: Park, DS., Chao, HC., Jeong, YS., Park, J. (eds) Advances in Computer Science and Ubiquitous Computing. Lecture Notes in Electrical Engineering, vol 373. Springer, Singapore. https://doi.org/10.1007/978-981-10-0281-6_103
Download citation
DOI: https://doi.org/10.1007/978-981-10-0281-6_103
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-10-0280-9
Online ISBN: 978-981-10-0281-6
eBook Packages: Computer ScienceComputer Science (R0)