PageRank without hyperlinks: Reranking with PubMed related article networks for biomedical text retrieval
| dc.contributor.author | Lin, Jimmy | |
| dc.date.accessioned | 2021-12-06T15:42:24Z | |
| dc.date.available | 2021-12-06T15:42:24Z | |
| dc.date.issued | 2008-06-06 | |
| dc.description.abstract | Graph analysis algorithms such as PageRank and HITS have been successful in Web environments because they are able to extract important inter-document relationships from manually-created hyperlinks. We consider the application of these techniques to biomedical text retrieval. In the current PubMed® search interface, a MEDLINE® citation is connected to a number of related citations, which are in turn connected to other citations. Thus, a MEDLINE record represents a node in a vast content-similarity network. This article explores the hypothesis that these networks can be exploited for text retrieval, in the same manner as hyperlink graphs on the Web. We conducted a number of reranking experiments using the TREC 2005 genomics track test collection in which scores extracted from PageRank and HITS analysis were combined with scores returned by an off-the-shelf retrieval engine. Experiments demonstrate that incorporating PageRank scores yields significant improvements in terms of standard ranked-retrieval metrics. The link structure of content-similarity networks can be exploited to improve the effectiveness of information retrieval systems. These results generalize the applicability of graph analysis algorithms to text retrieval in the biomedical domain. | en_US |
| dc.description.uri | https://doi.org/10.1186/1471-2105-9-270 | |
| dc.identifier | https://doi.org/10.13016/eh1g-07n0 | |
| dc.identifier.citation | Lin, J. PageRank without hyperlinks: Reranking with PubMed related article networks for biomedical text retrieval. BMC Bioinformatics 9, 270 (2008). | en_US |
| dc.identifier.uri | http://hdl.handle.net/1903/28195 | |
| dc.language.iso | en_US | en_US |
| dc.publisher | Springer Nature | en_US |
| dc.relation.isAvailableAt | College of Information Studies | en_us |
| dc.relation.isAvailableAt | Information Studies | en_us |
| dc.relation.isAvailableAt | Digital Repository at the University of Maryland | en_us |
| dc.relation.isAvailableAt | University of Maryland (College Park, MD) | en_us |
| dc.subject | Related Article | en_US |
| dc.subject | Test Collection | en_US |
| dc.subject | Relevance Judgment | en_US |
| dc.subject | Text Retrieval | en_US |
| dc.subject | Retrieval Effectiveness | en_US |
| dc.title | PageRank without hyperlinks: Reranking with PubMed related article networks for biomedical text retrieval | en_US |
| dc.type | Article | en_US |