More Than Just Black and White: A Case for Grey Literature References in Scientific Paper Information Retrieval Systems
Sesagiri Raamkumar, Aravind
Date of Issue2015
17th International Conference on Asia-Pacific Digital Libraries (ICADL 2015)
Wee Kim Wee School of Communication and Information
In this paper, we start by analyzing the presence of grey literature (GL) references in the bibliographies of different article-types using an extract of 122,406 articles from the ACM Digital Library. GL articles accounted for about 16% of the overall references with highest presence in proceedings (17.61%). Boosting techniques for promoting GL references are proposed for information retrieval systems for two specific scenarios. A simple IR experiment was conducted with 103,739 articles to validate the proposed boosting techniques with 10 research topics. Results show that GL references were consistently pushed to the top of the search results along with an increased visibility in top 20 results.
grey literature; citation analysis; boosting techniques; scientific paper information retrieval; digital libraries
© 2015 Springer International Publishing Switzerland. This is the author created version of a work that has been peer reviewed and accepted for publication by 17th International Conference on Asia-Pacific Digital Libraries (ICADL 2015), 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].