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Muscle Logic: New Knowledge Resource for Anatomy Enables Comprehensive Searches of the Literature on the Feeding Muscles of Mammals.

Publication ,  Journal Article
Druzinsky, RE; Balhoff, JP; Crompton, AW; Done, J; German, RZ; Haendel, MA; Herrel, A; Herring, SW; Lapp, H; Mabee, PM; Muller, H-M; Wall, CE ...
Published in: PloS one
January 2016

In recent years large bibliographic databases have made much of the published literature of biology available for searches. However, the capabilities of the search engines integrated into these databases for text-based bibliographic searches are limited. To enable searches that deliver the results expected by comparative anatomists, an underlying logical structure known as an ontology is required.Here we present the Mammalian Feeding Muscle Ontology (MFMO), a multi-species ontology focused on anatomical structures that participate in feeding and other oral/pharyngeal behaviors. A unique feature of the MFMO is that a simple, computable, definition of each muscle, which includes its attachments and innervation, is true across mammals. This construction mirrors the logical foundation of comparative anatomy and permits searches using language familiar to biologists. Further, it provides a template for muscles that will be useful in extending any anatomy ontology. The MFMO is developed to support the Feeding Experiments End-User Database Project (FEED, https://feedexp.org/), a publicly-available, online repository for physiological data collected from in vivo studies of feeding (e.g., mastication, biting, swallowing) in mammals. Currently the MFMO is integrated into FEED and also into two literature-specific implementations of Textpresso, a text-mining system that facilitates powerful searches of a corpus of scientific publications. We evaluate the MFMO by asking questions that test the ability of the ontology to return appropriate answers (competency questions). We compare the results of queries of the MFMO to results from similar searches in PubMed and Google Scholar.Our tests demonstrate that the MFMO is competent to answer queries formed in the common language of comparative anatomy, but PubMed and Google Scholar are not. Overall, our results show that by incorporating anatomical ontologies into searches, an expanded and anatomically comprehensive set of results can be obtained. The broader scientific and publishing communities should consider taking up the challenge of semantically enabled search capabilities.

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Published In

PloS one

DOI

EISSN

1932-6203

ISSN

1932-6203

Publication Date

January 2016

Volume

11

Issue

2

Start / End Page

e0149102

Related Subject Headings

  • Search Engine
  • Pharyngeal Muscles
  • Oropharynx
  • Humans
  • General Science & Technology
  • Databases as Topic
  • Animals
 

Citation

APA
Chicago
ICMJE
MLA
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Druzinsky, R. E., Balhoff, J. P., Crompton, A. W., Done, J., German, R. Z., Haendel, M. A., … Wall, C. E. (2016). Muscle Logic: New Knowledge Resource for Anatomy Enables Comprehensive Searches of the Literature on the Feeding Muscles of Mammals. PloS One, 11(2), e0149102. https://doi.org/10.1371/journal.pone.0149102
Druzinsky, Robert E., James P. Balhoff, Alfred W. Crompton, James Done, Rebecca Z. German, Melissa A. Haendel, Anthony Herrel, et al. “Muscle Logic: New Knowledge Resource for Anatomy Enables Comprehensive Searches of the Literature on the Feeding Muscles of Mammals.PloS One 11, no. 2 (January 2016): e0149102. https://doi.org/10.1371/journal.pone.0149102.
Druzinsky RE, Balhoff JP, Crompton AW, Done J, German RZ, Haendel MA, et al. Muscle Logic: New Knowledge Resource for Anatomy Enables Comprehensive Searches of the Literature on the Feeding Muscles of Mammals. PloS one. 2016 Jan;11(2):e0149102.
Druzinsky, Robert E., et al. “Muscle Logic: New Knowledge Resource for Anatomy Enables Comprehensive Searches of the Literature on the Feeding Muscles of Mammals.PloS One, vol. 11, no. 2, Jan. 2016, p. e0149102. Epmc, doi:10.1371/journal.pone.0149102.
Druzinsky RE, Balhoff JP, Crompton AW, Done J, German RZ, Haendel MA, Herrel A, Herring SW, Lapp H, Mabee PM, Muller H-M, Mungall CJ, Sternberg PW, Van Auken K, Vinyard CJ, Williams SH, Wall CE. Muscle Logic: New Knowledge Resource for Anatomy Enables Comprehensive Searches of the Literature on the Feeding Muscles of Mammals. PloS one. 2016 Jan;11(2):e0149102.

Published In

PloS one

DOI

EISSN

1932-6203

ISSN

1932-6203

Publication Date

January 2016

Volume

11

Issue

2

Start / End Page

e0149102

Related Subject Headings

  • Search Engine
  • Pharyngeal Muscles
  • Oropharynx
  • Humans
  • General Science & Technology
  • Databases as Topic
  • Animals