Limits...
Section level search functionality in Europe PMC.

Kafkas Ş, Pi X, Marinos N, Talo' F, Morrison A, McEntyre JR - J Biomed Semantics (2015)

Bottom Line: 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.The tagger's performance is measured against a manually curated dataset consisting of 100 full text articles with an F-score of 98.02%.

View Article: PubMed Central - PubMed

Affiliation: European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SD, United Kingdom.

ABSTRACT

Background: 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.

Results: 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%.

Conclusions: 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/.

No MeSH data available.


The interface for section searching in the Europe PMC Advanced Search page (http://europepmc.org/advancesearch).
© Copyright Policy - open-access
Related In: Results  -  Collection

License 1 - License 2
getmorefigures.php?uid=PMC4359544&req=5

Fig1: The interface for section searching in the Europe PMC Advanced Search page (http://europepmc.org/advancesearch).

Mentions: The section-level search feature is provided in two ways: (1) in the default full-text search on the Europe PMC website, in which we now exclude articles from search results that contain the search terms *only* in the “References” section; (2) From the Advanced Search (http://europepmc.org/advancesearch). In the advanced search interface, a choice of 17 different section types is provided in a drop-down menu (see Figure 1), which can be combined multiply, as well as with other elements on the form through the use of typical Boolean logical terms (AND, OR, NOT). The default search behaviour to ignore hits to reference lists only can also be over-ridden here by selecting the References section. “Abstract” is not listed as a separate section category in this menu, since abstract searching is already possible via the default main search, which covers all 24 million PubMed records as well as the 3 million full text articles in Europe PMC. Further information on how to search Europe PMC is provided in Europe PMC Help (http://europepmc.org/Help).Figure 1


Section level search functionality in Europe PMC.

Kafkas Ş, Pi X, Marinos N, Talo' F, Morrison A, McEntyre JR - J Biomed Semantics (2015)

The interface for section searching in the Europe PMC Advanced Search page (http://europepmc.org/advancesearch).
© Copyright Policy - open-access
Related In: Results  -  Collection

License 1 - License 2
Show All Figures
getmorefigures.php?uid=PMC4359544&req=5

Fig1: The interface for section searching in the Europe PMC Advanced Search page (http://europepmc.org/advancesearch).
Mentions: The section-level search feature is provided in two ways: (1) in the default full-text search on the Europe PMC website, in which we now exclude articles from search results that contain the search terms *only* in the “References” section; (2) From the Advanced Search (http://europepmc.org/advancesearch). In the advanced search interface, a choice of 17 different section types is provided in a drop-down menu (see Figure 1), which can be combined multiply, as well as with other elements on the form through the use of typical Boolean logical terms (AND, OR, NOT). The default search behaviour to ignore hits to reference lists only can also be over-ridden here by selecting the References section. “Abstract” is not listed as a separate section category in this menu, since abstract searching is already possible via the default main search, which covers all 24 million PubMed records as well as the 3 million full text articles in Europe PMC. Further information on how to search Europe PMC is provided in Europe PMC Help (http://europepmc.org/Help).Figure 1

Bottom Line: 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.The tagger's performance is measured against a manually curated dataset consisting of 100 full text articles with an F-score of 98.02%.

View Article: PubMed Central - PubMed

Affiliation: European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SD, United Kingdom.

ABSTRACT

Background: 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.

Results: 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%.

Conclusions: 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/.

No MeSH data available.