Please use this identifier to cite or link to this item:
https://hdl.handle.net/10356/80318
Title: | Knowledge representation of social science research data for data curation and reuse | Authors: | Sun, Guangyuan Khoo, Christopher S. G. |
Keywords: | Data reuse Data integration Knowledge representation Social science Data curation Quantitative data |
Issue Date: | 2015 | Source: | Sun, G., & Khoo, C. S. G. (2015). Knowledge Representation of Social Science Research Data for Data Curation and Reuse. Lecture Notes in Computer Science, 9469, 358-359. | Series/Report no.: | Lecture Notes in Computer Science | Abstract: | The proposed study is in the area of data curation and knowledge representation. It focuses on the issues and methods of curating quantitative social science data, to advance the methodology of data curation, and data reuse and integration in the social sciences. Socio-economic data will be the object of the study. They are defined as data that is related to people, organization and society which can be stored in a tabular format. | URI: | https://hdl.handle.net/10356/80318 http://hdl.handle.net/10220/40493 |
DOI: | 10.1007/978-3-319-27974-9 | Schools: | Wee Kim Wee School of Communication and Information | Rights: | © 2015 Springer International Publishing Switzerland. This is the author created version of a work that has been peer reviewed and accepted for publication by Lecture Notes in Computer Science, Springer. It incorporates referee’s comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document. The published version is available at: [http://dx.doi.org/10.1007/978-3-319-27974-9]. | Fulltext Permission: | open | Fulltext Availability: | With Fulltext |
Appears in Collections: | WKWSCI Journal Articles |
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Submission No. 106_Sun Guangyuan.pdf | 180.51 kB | Adobe PDF | View/Open |
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