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Terminology Metadata

Terminology Metadata. Extension of the Service Meta Model. SWG Proposal January 2008. Agenda. Background (5 min) Review Proposed Model (15 min) Discussion (5 min) Vote Next Steps (5 min). Team Members. Tom Johnson (Mayo) Frank Hartel (NCI) George Komatsoulis (NCI) Sal Mungal (Duke)

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Terminology Metadata

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  1. Terminology Metadata Extension of the Service Meta Model SWG Proposal January 2008

  2. Agenda • Background (5 min) • Review Proposed Model (15 min) • Discussion (5 min) • Vote • Next Steps (5 min)

  3. Team Members • Tom Johnson (Mayo) • Frank Hartel (NCI) • George Komatsoulis (NCI) • Sal Mungal (Duke) • Hua Min (Fox Chase) • Scott Oster (OSU) • Mike Riben (MD Anderson) • Brian Davis (3rd Millennium)

  4. Background - Goals • Goals: • Identify metadata queryable at the index service level • Narrow focus for first revision … • Initial model defined to satisfy discovery use cases • Support development of enhanced grid discovery client • Resolve runtime services for terminologies of interest • Additional metadata available through runtime services • Allow/anticipate future expansion

  5. Background – Use Cases • Use Case Collection & Classification of Attributes • Identification • Internationalization • Intended/Allowed Usage • Provenance • Administration

  6. Background - Use Cases • Samples • Browse Existing Ontologies • Viewing Differences • Detecting Recently Added Ontologies • Web of Trust

  7. Background - Use Cases (1) Browse Existing Ontologies • An ontology developer is interested in creating an ontology for a domain (e.g., radiographic anatomy). • Determine if there are already similar ontologies in that domain. • Evaluates assigned categories for registered ontologies. • Discovers match for “anatomy” • Views available titles and descriptions • Finds listings for “human” and “mouse” anatomy, but not “radiology” • Looks at the human anatomy ontology to see if it fits the need  Attributes: category, title, description

  8. Background - Use Cases (2) Viewing Differences • An ontology developer wants to view what has changed between two versions of an ontology. • Retrieve listing of registered terminology services • Sort by URI, then version • Select and resolve grid services for differing versions • Invokes runtime services to resolve and compare content  Attributes: uri, version

  9. Background - Use Cases (3) Detecting Recently Added Ontologies • A user wants to contact the providers for new ontologies registered within the last quarter. • Query registered ontologies by registration date • Pull point of contact information (source, curator, registration authority) from listed items  Attributes: registration date, registration authority, source, curator

  10. Background - Use Cases (4) Web of Trust • Quality of ontologies: • User is aware that there are several anatomy ontologies, and is unclear which to use. • Trusts certain ontology sources (anatomists) more than others • Views ontology source to determine content origin • Views intended and example use to consider alignment with application • Considers caBIG certification level Attributes: source, intended use, example use, certification level

  11. Background – Model • Focus of work on … • Model alignment • External … Incorporate feedback from review and alignment with relevant specifications and standards. • Internal … Take better advantage of previously registered models and classes. • Incorporating specific feedback on model classes and attributes.

  12. Background - Alignment • Specifications/standards considered … • Dublin Core • ISO 11179-2/3/6: classification, registries, admin • LexGrid/LexBIG model • National Center for Biomedical Ontology (NCBO) BioPortal • Public Health Information Network (CDC/PHIN) • Simple Knowledge Organization System (SKOS core) • UMLS Rich Release Format (RRF) • CTS/CTS2

  13. Background – Model Alignment

  14. Background – Model Alignment

  15. Background – Model Alignment • Findings … • No silver bullet • General alignment for defined items • All SWG items and definitions represented conceptually in one or more specifications • Adequate, but not perfect, alignment of semantics • Some name changes • Some new attributes identified • Supplement existing use case • Generally not found to be required unless we add use cases

  16. Model - Overview

  17. Model – Core Identification & Description • uri (1) • Unique persistent identifier. • urn:oid:2.16.840.1.113883.6.2 • title (1) • Formal or published name for display. • International Classification of Disease, 9th… • localName (1..n) • Name used to refer to the terminology within a localized context; often a mnemonic. • ICD-9-CM, ICD-9 • description (0..1) • Human-readable explanation or narrative. • The International Classification of … • category (0..n) • Applicable domains or scientific fields. • e.g. anatomy, genomic, proteomic, phenotype…

  18. Model – Core Identification & Description • type (0..1) • Nature of content relative to the category. • application – describes domain in an application dependent manner • core – describes domain in an application independent manner • domain – describes the most important concepts in a domain • task – describes generic types of tasks or activities (e.g. selling, selecting) • upperLevel – describes general, domain independent concepts (e.g. space, time) • structure (1) • Indicates complexity of maintained relationships • flat – no hierarchy • simple - supports a single inheritance mono-hierarchicalstructure. • complex - supports multiple relationships and/or relationship types

  19. Model – Core Identification & Description • defaultLanguage (1) • Language for text unless otherwise specified • eng • supportedLanguage (1..n) • Languages supported for text-based content • eng, spa, … • supportedContentType (1..n) • Supported type of text or imbedded multimedia • e.g. mime type (text/plain, image) • keyword (0..n) • Words or phrases of special significance. • patient record, nursing protocol, …

  20. Model - Usage • intendedUse (0..n) • Human-readable description of intended use. • data integration • exampleUse (0..n) • Human-readable example of use. • Integration of protein data. • isRestricted (1) • Indication of intellectual property boundaries. • true • rights (0..n) • Human-readable description of IP rights. • NCI Thesaurus terms of use … • rightsHolder (point of contact) (0..1) • Contact point for intellectual property rights. • National Cancer Institute

  21. Model - Provenance • source (0..1) • Origin or provider of content • National Center for Health Statistics (NCHS) • curator (0..1) • Maintains the content in the release format (e.g. OWL, OBO, RRF) • National Library of Medicine • releaseDate (0..1) • Date of availability in released format. • 2007-08-30 • releaseFormat (0..1) • Format as released by the curator. • e.g. OWL, OBO, RRF • releaseLocation (0..1) • Location of resource in the releaseFormat. • ftp://ftp1.nci.nih.gov/pub/cacore/EVS/NCI_Thesaurus/Thesaurus_07.12a.OWL.zip

  22. Model - Provenance • releasePackage (0..1) • Name of the composite ontology or meta distribution containing the terminology as released. • e.g. UMLS, NCI_MetaThesaurus, BiomedGT • releaseVersion (0..1) • Represented version identifier. • 2007

  23. Model - Administration • registrationAuthority (1) • Responsible for maintaining content on the grid • National Cancer Institute • registrationDate (1) • Date of grid availability or last change of registration status. • 2007-09-30 • registrationStatus (1) • Designation of terminology status in life cycle. • Possible values from 11179-3 registration life cycle status category. • registrationTag (0..1) • Supports lookup by version-agnostic designation • development, test, production • certification (0..1) • caBIG level of compliance. • bronze, silver, gold

  24. Model – Anticipated Alignment against available classes Superclasses Based on 11179

  25. Vote • Vote will be for … • Approval of the identified criteria • Acknowledgement that model will be aligned with existing (e.g. 11179-based) superclasses, with model and attribute details to be addressed as required.

  26. Questions/Discussion before Vote

  27. Next Steps • Model harmonization w/ recommended superclasses • Change caGRID tooling to capture additional metadata when registering terminology • Create custom discovery client for terminology services, to take advantage of additional metadata in support of identified use cases

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