Unified Astronomy Thesaurus

Short Description:

The Unified Astronomy Thesaurus (UAT) is an open, interoperable and community-supported thesaurus which unifies the existing divergent and isolated Astronomy & Astrophysics thesauri into a single high-quality, freely-available open thesaurus formalizing astronomical concepts and their inter-relationships.

URL:

http://astrothesaurus.org/

Owned/Developed by:

  1. Name of Owner: American Astronomical Society, http://aas.org/
  2. Name of Developer:  Katie Frey, ADS, https://groups.google.com/d/forum/uat-users

Adopted (as opposed to owned) by organizations/publishers:

IOP Publishing intend to use this for auto-indexing of images in the the AAS Astronomy Image Explorer and for indexing content on IOPsience journals and books platform.

Is the KM being actively developed?

  1. Yes by ADS and the Astronomy Community, http://astrothesaurus.org/

License information:

  1. Name of License
  2. Terms of license or link to license terms

PLOS Thesaurus

Short Description:

The Subject Areas belong to a thesaurus of over 10,000 terms initially built for us over the course of 2012 by Access Innovations. The 2012 thesaurus was based on the controlled vocabulary of classification terms that had been in use in PLOS Editorial Manager augmented by a specialist Science, Technology, Engineering and Medicine thesaurus built by Access Innovations. The entire corpus of PLOS articles was analysed to ensure that the thesaurus covers the research domain comprehensively.

URL:

GitHub: https://github.com/PLOS/plos-thesaurus

Owned/Developed by:

  1. Name of Developer:  Rachel Drysdale  gro.s1513366563olp@e1513366563ladsy1513366563rdr1513366563

How is this KM used?

Machine Aided Indexing (MAI)
e.g. PLOS One: http://www.plosone.org/taxonomy

License information:

https://github.com/PLOS/plos-thesaurus

IOP Thesaurus

Short Description:

The IOP thesaurus is a collection of ca. 6000 terms describing concepts in physics and related areas.

URL:

The model is not currently available externally.

Owned/Developed by:

  1. Name of Owner:   IOP Publishing Ltd
  2. Name of Developer:  Michael Roberts, *protected email*
  3. Technical Contact:   Michael Roberts, *protected email*
  4. License Contact:   Not applicable

Adopted (as opposed to owned) by organizations/publishers:
How is this KM applied?

IOP Publishing, applied manually and through auto-tagging software (Luxid/TEMIS),  Editorial Staff and Referees

How is this KM used?

Not currently in production use for semantic enrichment.

Description of the current use case(s) of the KM

Used for indexing of referees, within ScholarOne Manuscripts.

Description of the future/potential use cases of the KM (not yet realized)

Faceted search, display of further relevant content, key-word driven advertising.

What are the main goals for using this KM?

  1. Improve service to readers on IOPscience
  2. Enhance UX
  3. Increase Search Engine Ranking
  4. Increase time user spends on site
  5. Increase traffic
  6. Increase downloads
  7. New opportunities for innovation

Rationale for KM vs other means of searching and browsing?

As the IOP thesaurus describes relationships between topics as well as providing keywords, it provides a powerful mechanism for determining relevant content and search faceting not available through statistical approaches. The machine-based indexing approach ensures consistency across the corpus, avoiding human bias in applying keywords.

Is the KM being actively developed?

Yes, internally

License information:

KM is not currently available to license

SNOMED CT

Short Description:

SNOMED CT is an extensive clinical terminology that was formed by the merger, expansion, and restructuring of SNOMED RT® (Reference Terminology) and the United Kingdom National Health Service (NHS) Clinical Terms (also known as the Read Codes). It is the most comprehensive clinical vocabulary available in English (or any language). SNOMED CT is concept-oriented and has an advanced structure that meets most accepted criteria for a well-formed, machine-readable terminology. It has been designated as a US standard for electronic health information exchange in Interoperability Specifications produced by the Healthcare Information Technology Standards Panel and has also been adopted for use by the US Federal Government, through the Consolidated Health Informatics (CHI) Initiative, for several clinical domains

URL:

http://download.nlm.nih.gov/umls/kss/IHTSDO20140731/SnomedCT_Release_INT_20140731.zip

Owned/Developed by:

  1. Name of Owner:   International Health Terminology Standards Organisation (IHTSDO)
  2. Name of Developer:    International Health Terminology Standards Organisation (IHTSDO) originally developed by College of American Pathologists (CAP)
  3. Technical Contact:   gro.o1513366563dsthi1513366563@trop1513366563pus1513366563
  4. License Contact:   gro.o1513366563dsthi1513366563@trop1513366563pus1513366563

Adopted (as opposed to owned) by organizations/publishers:

Wiley in autotagging software

How is this KM used?

Description of the current use case(s) of the KM

Description of the future/potential use cases of the KM (not yet realized)

What are the main goals for using this KM?

Rationale for KM vs other means of searching and browsing?

Please describe the added-value that the KM delivers in comparison to “standard” full-text search indexes, author-supplied keywords or automated on-the-fly generation of topics based on purely statistical information.

Is the KM being actively developed?

Yes

License information:

See http://ihtsdo.org/licensing/

Medical Subject Headings (MeSH®)

Short Description:

MeSH is the National Library of Medicine’s controlled vocabulary thesaurus. It consists of sets of terms naming descriptors in a hierarchical structure that permits searching at various levels of specificity.

MeSH descriptors are arranged in both an alphabetic and a hierarchical structure. At the most general level of the hierarchical structure are very broad headings such as “Anatomy” or “Mental Disorders.” More specific headings are found at more narrow levels of the twelve-level hierarchy, such as “Ankle” and “Conduct Disorder.” There are 27,149 descriptors in 2014 MeSH. There are also over 218,000 entry terms that assist in finding the most appropriate MeSH Heading, for example, “Vitamin C” is an entry term to “Ascorbic Acid.” In addition to these headings, there are more than 219,000 headings called Supplementary Concept Records (formerly Supplementary Chemical Records) within a separate thesaurus.

URL:

 http://www.nlm.nih.gov/mesh/meshhome.html

Owned/Developed by:

  1. Name of Owner:         see http://www.nlm.nih.gov/pubs/factsheets/mesh.html 
  2. Name of Developer:
  3. Technical Contact:
  4. License Contact:

Adopted (as opposed to owned) by organizations/publishers:

How is this Knowledge Model used?

Description of the current use case(s) of the KM

Description of the future/potential use cases of the KM (not yet realized)

What are the main goals for using this KM?

Rationale for KM vs other means of searching and browsing?

Is the KM being actively developed?

Yes

12. License information:

License not required