Section level search functionality in Europe PMC

• Published in: Journal of biomedical semantics Vol. 6; no. 1; p. 7
• Main Authors: Kafkas, Şenay, Pi, Xingjun, Marinos, Nikos, Talo', Francesco, Morrison, Andrew, McEntyre, Johanna R
• Format: Journal Article
• Language: English
• Published: England BioMed Central Ltd 10.03.2015; BioMed Central
• Subjects: Software; Text mining; Information retrieval; Section
• ISSN: 2041-1480; 2041-1480
• DOI: 10.1186/s13326-015-0003-7

As the availability of open access full text research articles increases, so does the need for sophisticated search services that make the most of this new content. Here, we present a new feature available in Europe PMC that allows selected sections of full text articles to be searched, including figures and reference lists. Users can now search particular parts of an article, reducing noise and allowing fine-tuning of searches. To the best of our knowledge, Europe PMC is the first service that provides a granular literature search by allowing users to target their search to particular sections of articles. This new functionality is based on a heuristic algorithm that identifies and categorises article sections into 17 pre-defined categories based on the section heading. The tagger's performance is measured against a manually curated dataset consisting of 100 full text articles with an F-score of 98.02%. The section search is available from the advanced search within Europe PMC (http://europepmc.org). The source code is freely available from http://europepmc.org/ftp/oa/SectionTagger/.