Googling South African academic publications - search query generation methods.
Proceedings of the South African Institute of Computer Scientists and Information Technologists (SAICSIT). 30 Sept-1 October. East London, South Africa. 157-164.
Weideman, M. 2013. Googling South African academic publications - search query generation methods. Proceedings of the South African Institute of Computer Scientists and Information Technologists (SAICSIT). 30 Sept-1 October. East London, South Africa. 157-164.
Commercial websites need to rank well on search engines to ensure a high degree of exposure. This has become true even for academic webpages. Many universities store research outputs in institutional repositories. However, free-form Internet searching is still preferred by many students. This implies that academic publications should be findable via standard search engines. The purpose of this research was to determine the best type of query to lead to a high-ranking website containing the required abstract when searching for academic publications.
a questionnaire was used to gather data on published research outputs. A variety of search queries were constructed for each output, and these queries were run to find research output abstracts online.
An analysis of the results provided a variety of patterns when searching for known published academic content. The patterns were different for journal articles, conference papers, books and theses.
Some of the abstracts were ranked highly on Google search result pages, with others not ranked among the first ten results. Overall the best results were provided by combining the author surname with the first sentence of the abstract text.
It was concluded that the generation of search queries be alternated between the two most successful query types, rather than focusing on one type only.
- Antelman, K. 2004. Do Open Access Articles Have a Greater Research Impact? College & Research Libraries News, 65, 5, 372-382.
- Creaser, C. 2010. Open access to research outputs—
institutional policies and researchers' views: results
Google. Online Information Review, 37, 2, 287 - 303.
from two complementary surveys. New Rev Acad
Libr. 16, 1 (Apr), 4-25.
- Evans, M.P . 2007. Analysing Google rankings through search engine optimisation data. Internet
Research, 17, 1, 21-37. DOI 10.1108/10662240710730470
- Feinstein, J. (firstname.lastname@example.org). 2013. RE: Open access is available for your article. E-mail to M. Weideman (email@example.com). 30 May 2013.
- Finch, J. 2012. Accessibility, sustainability, excellence: how to expand access to research publications. http://www.researchinfonet.org/wp- content/uploads/2012/06/Finch-Group-report-FINAL- VERSION.pdf
- Killoran, J.B. 2013. How to use search engine optimization techniques to increase website visibility. IEEE Transactions on Professional Communication. 56, 1, March.
- Mansourian, Y., Ford, N., Webber, S. and Madden, A. 2008. An integrative model of "information visibility" and "information seeking" on the web. Program: electronic library and information systems. 42, 4, 402-417.
- McCabe, M.J. and Snyder, C.M. 2005. Academic Journal Quality. AEA Papers and Proceedings, May.
- Neethling, R. 2008. Search engine optimisation or paid placement systems - user preference. Masters Thesis, Cape Peninsula University of Technology, Cape Town.
- Phan, N., Bailey, P. and Wilkinson, R. 2007. Understanding the relationship of information need specificity to search query length. In Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval (SIGIR '07), New York, USA. July 10 - 13. 709-710. doi>10.1145/1277741.1277870
- Russell, J.M., Ainsworth, S. and Diaz-Aguilar, J. 2012. Web visibility or wasted opportunity? Case studies from Mexican research institutes. Aslib Proceedings, 64, 1, 67 - 82.
- Sullivan, D. 2011. Introducing: The Periodic Table of SEO Ranking Factors.
- Weideman, M. 2010. Empirical study on crawler visibility of PDF documents in digital libraries. In Proceedings of The Third IEEE International Conference on Computer Science and Information Technology (ICCSIT 2010), Chengdu, China. July 10 - 13. 373 - 379.
- Ford, N., Eaglestone, B., Madden, A. and Whittle, M.
2008. Web searching by the "general public": an
individual differences perspective. Journal of
Documentation, 65, 4, 632 - 667.
- Hariri, N. 2013. Do natural language search engines
really understand what users want?: A comparative
study on three natural language search engines and
- Weideman, M. 2009. Website Visibility: The Theory and Practice of Improving Rankings. Oxford: Chandos.
- Xue, X. and Croft, W.B. 2009. Automatic query generation for patent search. In Proceedings of the 18th ACM Conference on Information and Knowledge management (CIKM '09), Hong Kong, China, November 2 -6, 2037-2040