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Integrated Semantic Framework:
launching the next generation
VIVO ontology
Erich Bremer, Jon Corson-Rikert,
Melissa Haendel,
Janos Hajagos and Brian Lowe
@ontowonka
net w o r k
www.ctsaconnect.org CTSAconnect
Reveal Connections. Realize Potential.
People and Resources
techniques
training
protocols
affiliation
roles
grants
credentials
genes
anatomy
manufacturer
publications
disease
www.ctsaconnect.org CTSAconnect
Reveal Connections. Realize Potential.
CTSAConnect Project
Connecting people and resources
Needs:
 Identify potential collaborators, relevant resources, and
expertise across scientific disciplines
 Assemble translational teams of scientists to address specific
research questions
Goal is to create a semantic representation of clinician and
basic science researcher expertise to enable:
 More effective linking of information about clinicians and basic
science researchers
 Computation and publication of clinical expertise data as
Linked Data (LD) for use in other applications
www.ctsaconnect.org CTSAconnect
Reveal Connections. Realize Potential.
Integrated Semantic Framework
Ontology (ISF) suite
 Merge the eagle-i and VIVO ontologies into one single ontology
suite (the ISF)
 Extend their coverage to include representation of clinical
encounter
 Modularize the ISF such that it can be made available in a set of
files that can be reused independently
eagle-i
Resources
VIVO
People
Coordination
eagle-i
VIVO
Semantic
Clinical
activities
ISF Content and modularization
eagle-i
Research resources
VIVO
Person profiling
CTSA ShareCenter
Discussions, requests,
share documents
ISF
Contact Organizations
Affiliations
Services Events
Clinical
Expertise
Reagents
Organisms
Credentials
CTSAconnect
Reveal Connections. Realize Potential.
3/18/2022 6
www.ctsaconnect.org CTSAconnect
Reveal Connections. Realize Potential.
Original Ontologies
eagle-i resource ontology VIVO ontology
BFO as upper Ontology No upper Ontology
Has OBO Foundry principles as
guiding design principles
Adopts ontologies already in wide
use across the Linked Data
community such as FOAF and BIBO
Aimed at driving an application as
well as develop an interoperable
core domain ontology
Aimed mostly at supporting data
validation and data entry through
the VIVO application and to
produce Linked data
Active application and ontology
development and live data
Active application and ontology
development and live data
Somewhat unconventional scenario: Usually creating ontologies from
scratch or reusing existing ontologies without above constraints
3/18/2022 7
www.ctsaconnect.org CTSAconnect
Reveal Connections. Realize Potential.
A first approach
Goals:
 Identify overlapping and duplicated entities in the eagle-i and VIVO ontologies
 Avoid severe disruptions in application compatibility
 Minor incremental additions to the ISF and push significant changes back to the
source ontologies
Good for:
 Referencing existing entities while developing new ISF-specific modules
 Performing initial alignments on classes in some portion of the overlapping
hierarchies
Limits:
 Lengthy process of identifying necessary alignments and implementing changes
in the source ontologies
 With no disruption to the applications, development was slow and low impact
3/18/2022 8
www.ctsaconnect.org CTSAconnect
Reveal Connections. Realize Potential.
Preferred approach
 Implement the refactoring and merging disconnected from application and
data constraints
 Impact on the application and data migration assessed after refactoring
 Better balance of impact on apps and data migration versus total redesign of approach
 Refactoring of source files based on content coverage
3/18/2022 9
www.ctsaconnect.org CTSAconnect
Reveal Connections. Realize Potential.
What the ISF means for VIVO
 Fewer object properties
 hasRole
 hasAttendeeRole
 hasClinicalRole
 hasPartnerRole
 hasOrganizerRole
 hasOutreachProviderRole
 hasTeacherRole
 …
3/18/2022 10
www.ctsaconnect.org CTSAconnect
Reveal Connections. Realize Potential.
What the ISF means for VIVO
 Fewer object properties
 hasRole
 hasAttendeeRole
 hasClinicalRole
 hasPartnerRole
 hasOrganizerRole
 hasOutreachProviderRole
 hasTeacherRole
 …
3/18/2022 11
www.ctsaconnect.org CTSAconnect
Reveal Connections. Realize Potential.
Original Motivation
3/18/2022 12
www.ctsaconnect.org CTSAconnect
Reveal Connections. Realize Potential.
Original Motivation
3/18/2022 13
www.ctsaconnect.org CTSAconnect
Reveal Connections. Realize Potential.
New Approach
 Consistently query for type of related resource
 Configure application behavior for property and class
combinations, not properties alone
Person
Teacher
Role
hasRole
Presenter
Role
hasRole
“teaching activities”
“presentations”
3/18/2022 14
www.ctsaconnect.org CTSAconnect
Reveal Connections. Realize Potential.
Reified Relationships
Thing Thing
vivo:
Relation-
ship
time
interval
3/18/2022 15
www.ctsaconnect.org CTSAconnect
Reveal Connections. Realize Potential.
Reified Relationships
foaf:Person
bibo:
Document
vivo:
Authorship
author
rank
vivo:authorInAuthorship vivo:linkedInformationResource
3/18/2022 16
www.ctsaconnect.org CTSAconnect
Reveal Connections. Realize Potential.
Reified Relationships
foaf:Person
bibo:
Document
vivo:
Authorship
author
rank
vivo:authorInAuthorship vivo:linkedInformationResource
3/18/2022 17
www.ctsaconnect.org CTSAconnect
Reveal Connections. Realize Potential.
Reified Relationships
foaf:Person
bibo:
Document
vivo:
Authorship
author
rank
vivo:relates vivo:relates
3/18/2022 18
www.ctsaconnect.org CTSAconnect
Reveal Connections. Realize Potential.
Reified Relationships
Thing Thing
time
interval
vivo:relates vivo:relates
AdvisingRelationship
Authorship
AwardedDegree
AwardReceipt
Editorship
Grant
IssuedCredential
Position
3/18/2022 19
www.ctsaconnect.org CTSAconnect
Reveal Connections. Realize Potential.
Relationships and Roles Together
Person Person
Mentoring
Relationship
mentor
role
mentee
role
Mentoring
Process
3/18/2022 20
www.ctsaconnect.org CTSAconnect
Reveal Connections. Realize Potential.
Relationships and Roles Together
Person
Funding
Organiza-
tion
Grant
PI
role
funder
role
3/18/2022 21
www.ctsaconnect.org CTSAconnect
Reveal Connections. Realize Potential.
Fewer Person Subclasses
 Most Person subclasses removed from ISF
 Retained in VIVO application until 1.7+
 Person
 FacultyMember
 NonFacultyAcademic
 Postdoc
 Librarian
 Archivist
 …
3/18/2022 22
www.ctsaconnect.org CTSAconnect
Reveal Connections. Realize Potential.
Fewer Person Subclasses
 Better to query for people by positions and roles
 Person
 FacultyMember
 NonFacultyAcademic
 Postdoc
 Librarian
 Archivist
 …
3/18/2022 23
www.ctsaconnect.org CTSAconnect
Reveal Connections. Realize Potential.
Three examples of merging and
refactoring
 Tackle an open design/representation issue proposing
a new design pattern (position of a person over time)
 Reference/incorporation of external vocabularies or
taxonomies
 Merging two different design approaches (Person and
Contacts) using existing standard (Vcard)
www.ctsaconnect.org CTSAconnect
Reveal Connections. Realize Potential.
Merging person and contact representation
www.ctsaconnect.org CTSAconnect
Reveal Connections. Realize Potential.
eagle-i ontology browser with ISF
www.ctsaconnect.org CTSAconnect
Reveal Connections. Realize Potential.
Inclusion of external vocabularies in
the ISF
www.ctsaconnect.org CTSAconnect
Reveal Connections. Realize Potential.
Including vocabularies in ISF
ISF ontology Vocabularies
www.ctsaconnect.org CTSAconnect
Reveal Connections. Realize Potential.
Using external vocabularies together
www.ctsaconnect.org CTSAconnect
Reveal Connections. Realize Potential.
 Annotation view with approved or pending approval.
 Module view shows pending axiom changes per module and has ability to save the
changes with a log comment, and generate the spreadsheet summary
Protégé refactoring plugin
www.ctsaconnect.org CTSAconnect
Reveal Connections. Realize Potential.
UMLS Integration
The Unified Medical Language System (UMLS) Metathesaurus is a
long term project of the National Library of Medicine
www.ctsaconnect.org CTSAconnect
Reveal Connections. Realize Potential.
Additional vocabularies
RxNorm
SNOMED CT CPT
ICD9CM, MeSH, and NCIt are made available in the initial CTSAconnect release
www.ctsaconnect.org CTSAconnect
Reveal Connections. Realize Potential.
Expressed as a SKOS Vocabulary
www.ctsaconnect.org CTSAconnect
Reveal Connections. Realize Potential.
Cross vocabulary concept mapping
www.ctsaconnect.org CTSAconnect
Reveal Connections. Realize Potential.
Connect to the full UMLS
www.ctsaconnect.org CTSAconnect
Reveal Connections. Realize Potential.
So what?
 Now that eagle-i and VIVO are “on the same page,” future
development can leverage better consensus and ontologically
rigorous solutions
 CTSAs have a new research profiling data standard for exchange
 Applications such as Vivo, eagle-i, LOKI, Profiles, SciVal, and
ScienCV are working on generating ISF compliant data
 We can profile people based on a much larger diversity of their
activities and products of research
 There is still a lot of work to do – this was a short term project
and ISF could be better generalized for other use cases
www.ctsaconnect.org CTSAconnect
Reveal Connections. Realize Potential.
ISF/VIVO Ontology Working Group
 Extending and building on the ISF going forward
• Collaborating with other VIVO working groups to assure
the ISF evolves as it needs it to
• Synergies with ShareCenter, eagle-i, Plumage from UCSF
 Engaging as a community with SciENCV, CASRAI,
euroCRIS LOD group, CTSA Ontology Affinity Group,
and others
 Biweekly calls, mailing list, documentation – all on
wiki.duraspace.org/display/vivo
www.ctsaconnect.org CTSAconnect
Reveal Connections. Realize Potential.
ISF/ShareCenter Drupal Integration
1) Mapping Drupal Node Fields with corresponding ISF
Predicates
2) Integration Issue #1 – Drupal creates it’s own URIs for
mappings.
3) Importing of custom RDF augmentation to Drupal
RDF Store (ARC2)
4) Integration Issue #2 – ARC2 store wiped clean on
each re-indexing
www.ctsaconnect.org CTSAconnect
Reveal Connections. Realize Potential.
Team
CTSA 10-001: 100928SB23
PROJECT #: 00921-0001
OHSU:
Melissa Haendel, Carlo
Torniai, Nicole Vasilevsky,
Shahim Essaid, Eric Orwoll
Cornell University:
Jon Corson-Rikert, Dean
Krafft, Brian Lowe
University of Florida:
Mike Conlon, Chris Barnes,
Nicholas Rejack
Stony Brook University:
Moises Eisenberg, Erich
Bremer, Janos Hajagos
Harvard University:
Daniela Bourges-
Waldegg
Sophia Cheng
Share Center:
Chris Kelleher, Will
Corbett, Ranjit Das,
Ben Sharma
University at Buffalo:
Barry Smith, Dagobert
Soergel
CTSAconnect project
ctsaconnect.org
ISF ontology
sourcehttp://code.google.com/p/connect-
isf/
ISF 1.0 Documentation
http://connect-
isf.googlecode.com/svn/release/2013-07-
31/isf-1.0-documentation.pdf
New Duraspace Ontology Working Group
https://wiki.duraspace.org/pages/viewpage.
action?pageId=34656953
Resources

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Isf vivo2013

  • 1. Integrated Semantic Framework: launching the next generation VIVO ontology Erich Bremer, Jon Corson-Rikert, Melissa Haendel, Janos Hajagos and Brian Lowe @ontowonka net w o r k
  • 2. www.ctsaconnect.org CTSAconnect Reveal Connections. Realize Potential. People and Resources techniques training protocols affiliation roles grants credentials genes anatomy manufacturer publications disease
  • 3. www.ctsaconnect.org CTSAconnect Reveal Connections. Realize Potential. CTSAConnect Project Connecting people and resources Needs:  Identify potential collaborators, relevant resources, and expertise across scientific disciplines  Assemble translational teams of scientists to address specific research questions Goal is to create a semantic representation of clinician and basic science researcher expertise to enable:  More effective linking of information about clinicians and basic science researchers  Computation and publication of clinical expertise data as Linked Data (LD) for use in other applications
  • 4. www.ctsaconnect.org CTSAconnect Reveal Connections. Realize Potential. Integrated Semantic Framework Ontology (ISF) suite  Merge the eagle-i and VIVO ontologies into one single ontology suite (the ISF)  Extend their coverage to include representation of clinical encounter  Modularize the ISF such that it can be made available in a set of files that can be reused independently eagle-i Resources VIVO People Coordination eagle-i VIVO Semantic Clinical activities
  • 5. ISF Content and modularization eagle-i Research resources VIVO Person profiling CTSA ShareCenter Discussions, requests, share documents ISF Contact Organizations Affiliations Services Events Clinical Expertise Reagents Organisms Credentials CTSAconnect Reveal Connections. Realize Potential.
  • 6. 3/18/2022 6 www.ctsaconnect.org CTSAconnect Reveal Connections. Realize Potential. Original Ontologies eagle-i resource ontology VIVO ontology BFO as upper Ontology No upper Ontology Has OBO Foundry principles as guiding design principles Adopts ontologies already in wide use across the Linked Data community such as FOAF and BIBO Aimed at driving an application as well as develop an interoperable core domain ontology Aimed mostly at supporting data validation and data entry through the VIVO application and to produce Linked data Active application and ontology development and live data Active application and ontology development and live data Somewhat unconventional scenario: Usually creating ontologies from scratch or reusing existing ontologies without above constraints
  • 7. 3/18/2022 7 www.ctsaconnect.org CTSAconnect Reveal Connections. Realize Potential. A first approach Goals:  Identify overlapping and duplicated entities in the eagle-i and VIVO ontologies  Avoid severe disruptions in application compatibility  Minor incremental additions to the ISF and push significant changes back to the source ontologies Good for:  Referencing existing entities while developing new ISF-specific modules  Performing initial alignments on classes in some portion of the overlapping hierarchies Limits:  Lengthy process of identifying necessary alignments and implementing changes in the source ontologies  With no disruption to the applications, development was slow and low impact
  • 8. 3/18/2022 8 www.ctsaconnect.org CTSAconnect Reveal Connections. Realize Potential. Preferred approach  Implement the refactoring and merging disconnected from application and data constraints  Impact on the application and data migration assessed after refactoring  Better balance of impact on apps and data migration versus total redesign of approach  Refactoring of source files based on content coverage
  • 9. 3/18/2022 9 www.ctsaconnect.org CTSAconnect Reveal Connections. Realize Potential. What the ISF means for VIVO  Fewer object properties  hasRole  hasAttendeeRole  hasClinicalRole  hasPartnerRole  hasOrganizerRole  hasOutreachProviderRole  hasTeacherRole  …
  • 10. 3/18/2022 10 www.ctsaconnect.org CTSAconnect Reveal Connections. Realize Potential. What the ISF means for VIVO  Fewer object properties  hasRole  hasAttendeeRole  hasClinicalRole  hasPartnerRole  hasOrganizerRole  hasOutreachProviderRole  hasTeacherRole  …
  • 11. 3/18/2022 11 www.ctsaconnect.org CTSAconnect Reveal Connections. Realize Potential. Original Motivation
  • 12. 3/18/2022 12 www.ctsaconnect.org CTSAconnect Reveal Connections. Realize Potential. Original Motivation
  • 13. 3/18/2022 13 www.ctsaconnect.org CTSAconnect Reveal Connections. Realize Potential. New Approach  Consistently query for type of related resource  Configure application behavior for property and class combinations, not properties alone Person Teacher Role hasRole Presenter Role hasRole “teaching activities” “presentations”
  • 14. 3/18/2022 14 www.ctsaconnect.org CTSAconnect Reveal Connections. Realize Potential. Reified Relationships Thing Thing vivo: Relation- ship time interval
  • 15. 3/18/2022 15 www.ctsaconnect.org CTSAconnect Reveal Connections. Realize Potential. Reified Relationships foaf:Person bibo: Document vivo: Authorship author rank vivo:authorInAuthorship vivo:linkedInformationResource
  • 16. 3/18/2022 16 www.ctsaconnect.org CTSAconnect Reveal Connections. Realize Potential. Reified Relationships foaf:Person bibo: Document vivo: Authorship author rank vivo:authorInAuthorship vivo:linkedInformationResource
  • 17. 3/18/2022 17 www.ctsaconnect.org CTSAconnect Reveal Connections. Realize Potential. Reified Relationships foaf:Person bibo: Document vivo: Authorship author rank vivo:relates vivo:relates
  • 18. 3/18/2022 18 www.ctsaconnect.org CTSAconnect Reveal Connections. Realize Potential. Reified Relationships Thing Thing time interval vivo:relates vivo:relates AdvisingRelationship Authorship AwardedDegree AwardReceipt Editorship Grant IssuedCredential Position
  • 19. 3/18/2022 19 www.ctsaconnect.org CTSAconnect Reveal Connections. Realize Potential. Relationships and Roles Together Person Person Mentoring Relationship mentor role mentee role Mentoring Process
  • 20. 3/18/2022 20 www.ctsaconnect.org CTSAconnect Reveal Connections. Realize Potential. Relationships and Roles Together Person Funding Organiza- tion Grant PI role funder role
  • 21. 3/18/2022 21 www.ctsaconnect.org CTSAconnect Reveal Connections. Realize Potential. Fewer Person Subclasses  Most Person subclasses removed from ISF  Retained in VIVO application until 1.7+  Person  FacultyMember  NonFacultyAcademic  Postdoc  Librarian  Archivist  …
  • 22. 3/18/2022 22 www.ctsaconnect.org CTSAconnect Reveal Connections. Realize Potential. Fewer Person Subclasses  Better to query for people by positions and roles  Person  FacultyMember  NonFacultyAcademic  Postdoc  Librarian  Archivist  …
  • 23. 3/18/2022 23 www.ctsaconnect.org CTSAconnect Reveal Connections. Realize Potential. Three examples of merging and refactoring  Tackle an open design/representation issue proposing a new design pattern (position of a person over time)  Reference/incorporation of external vocabularies or taxonomies  Merging two different design approaches (Person and Contacts) using existing standard (Vcard)
  • 24. www.ctsaconnect.org CTSAconnect Reveal Connections. Realize Potential. Merging person and contact representation
  • 25. www.ctsaconnect.org CTSAconnect Reveal Connections. Realize Potential. eagle-i ontology browser with ISF
  • 26. www.ctsaconnect.org CTSAconnect Reveal Connections. Realize Potential. Inclusion of external vocabularies in the ISF
  • 27. www.ctsaconnect.org CTSAconnect Reveal Connections. Realize Potential. Including vocabularies in ISF ISF ontology Vocabularies
  • 28. www.ctsaconnect.org CTSAconnect Reveal Connections. Realize Potential. Using external vocabularies together
  • 29. www.ctsaconnect.org CTSAconnect Reveal Connections. Realize Potential.  Annotation view with approved or pending approval.  Module view shows pending axiom changes per module and has ability to save the changes with a log comment, and generate the spreadsheet summary Protégé refactoring plugin
  • 30. www.ctsaconnect.org CTSAconnect Reveal Connections. Realize Potential. UMLS Integration The Unified Medical Language System (UMLS) Metathesaurus is a long term project of the National Library of Medicine
  • 31. www.ctsaconnect.org CTSAconnect Reveal Connections. Realize Potential. Additional vocabularies RxNorm SNOMED CT CPT ICD9CM, MeSH, and NCIt are made available in the initial CTSAconnect release
  • 32. www.ctsaconnect.org CTSAconnect Reveal Connections. Realize Potential. Expressed as a SKOS Vocabulary
  • 33. www.ctsaconnect.org CTSAconnect Reveal Connections. Realize Potential. Cross vocabulary concept mapping
  • 34. www.ctsaconnect.org CTSAconnect Reveal Connections. Realize Potential. Connect to the full UMLS
  • 35. www.ctsaconnect.org CTSAconnect Reveal Connections. Realize Potential. So what?  Now that eagle-i and VIVO are “on the same page,” future development can leverage better consensus and ontologically rigorous solutions  CTSAs have a new research profiling data standard for exchange  Applications such as Vivo, eagle-i, LOKI, Profiles, SciVal, and ScienCV are working on generating ISF compliant data  We can profile people based on a much larger diversity of their activities and products of research  There is still a lot of work to do – this was a short term project and ISF could be better generalized for other use cases
  • 36. www.ctsaconnect.org CTSAconnect Reveal Connections. Realize Potential. ISF/VIVO Ontology Working Group  Extending and building on the ISF going forward • Collaborating with other VIVO working groups to assure the ISF evolves as it needs it to • Synergies with ShareCenter, eagle-i, Plumage from UCSF  Engaging as a community with SciENCV, CASRAI, euroCRIS LOD group, CTSA Ontology Affinity Group, and others  Biweekly calls, mailing list, documentation – all on wiki.duraspace.org/display/vivo
  • 37. www.ctsaconnect.org CTSAconnect Reveal Connections. Realize Potential. ISF/ShareCenter Drupal Integration 1) Mapping Drupal Node Fields with corresponding ISF Predicates 2) Integration Issue #1 – Drupal creates it’s own URIs for mappings. 3) Importing of custom RDF augmentation to Drupal RDF Store (ARC2) 4) Integration Issue #2 – ARC2 store wiped clean on each re-indexing
  • 38. www.ctsaconnect.org CTSAconnect Reveal Connections. Realize Potential. Team CTSA 10-001: 100928SB23 PROJECT #: 00921-0001 OHSU: Melissa Haendel, Carlo Torniai, Nicole Vasilevsky, Shahim Essaid, Eric Orwoll Cornell University: Jon Corson-Rikert, Dean Krafft, Brian Lowe University of Florida: Mike Conlon, Chris Barnes, Nicholas Rejack Stony Brook University: Moises Eisenberg, Erich Bremer, Janos Hajagos Harvard University: Daniela Bourges- Waldegg Sophia Cheng Share Center: Chris Kelleher, Will Corbett, Ranjit Das, Ben Sharma University at Buffalo: Barry Smith, Dagobert Soergel CTSAconnect project ctsaconnect.org ISF ontology sourcehttp://code.google.com/p/connect- isf/ ISF 1.0 Documentation http://connect- isf.googlecode.com/svn/release/2013-07- 31/isf-1.0-documentation.pdf New Duraspace Ontology Working Group https://wiki.duraspace.org/pages/viewpage. action?pageId=34656953 Resources

Notas del editor

  1. The process of integrating the eagle-i and VIVO ontologies, refactoring them, and modularizing the ISF posed a set of interesting challenges and constraints
  2. Trade off between content coverage aggregation and pattern-driven (for example, certain types of axioms in one place, imports, etc.) For instance, profile module that needs to be generic. Vocabulary as information model: Person and social security. The axioms that a person has social security is not an axiom that exists in “dictionary”. Informational vs definitional axioms. Informational axioms are about a subset of the entity – E.g. People are not defined by their social security number.
  3. Using Vcard to bring together two different representations. Both eagle-I and VIVO had representations of contact information but most of it was done with data properties and string values, some of which were not structures. The move to the new vcard/foaf representation imposes more structure and requires a lot more use of classes and object properties. The data migration is not yet done for the applications. ISF now includes the general idea of contact, which can take multiple forms. An agent can have a contact that can be a FOAF profile (more web based) while the VCArd is more standard. The Vcard standard is a well established IETF networking standard for exchanging contact related information and the FOAF vocabulary is a commonly used RDF vocabulary to represent contact like information that is more focused on web presence rather than physical addresses and communication as in the Vcard case. The ISF adopts both Vcard and FOAF. Vcard had an existing RDF mapping at the beginning of the project but recently the W3C published a new RDF mapping for version 4 of vcard. The RDF mapping is still in draft status but we are moving to the new RDF mapping for the final release of the ISF.
  4. This shows the use-cases for URIs that don’t fall under the typical OWL class/individual modeling of data. There is a need for an agreed on set of codes, concepts, types, etc. of things in addition to classes and individuals. It is also just another perspective on the domain where there is frequently a need to talk about a whole set (an OWL class) as if it is a single primitive thing (an instance) and SKOS is a formalization of this idea.
  5. Here we have added the punning (if needed) This diagram shows: That we make a distinction between the “ontology” on the left side and the “vocabulary” on the right. This distinction doesn’t mean that the set of URIs on both sides are disjoint. Certain URIs might exist as classes in the ontology and as individuals in the vocabulary. This is the punning, the same URI has two different type assertions (class type vs. individual type) The “PhD degree” is an individual that can be referenced in a “position” instance to indicate that the position is related to PhD degrees in some way but it doesn’t imply that there is a specific instance of a PhD degree that belong to some agent related by the position. If an agent later obtains an actual instance of a PhD degree, a new URI will be created and asserted to be an instance of the “PhD degree” class from the ontology (the punning of the “PhD degree” URI).
  6. Here ICD example: Concept scheme class means the vocabulary (Mesh or ICD9) and the SKOS concept The concept ICD (327.3 exists in ICD9 scheme). Now the notation (which is an actual datatype such umls-aui) and the value of that datatype. The concept ICD0 is coded with the code SKOS give you some object property to related concept. The closeMatch, exactMatch When same AUI or CUI exist we have exact match Lui Sui CUI AUI *UI The idea is using SKOS:exactMatch or closeMatch, we can walk between ontologies and still relate back to ISF
  7. Increasing the complexity of the ontology merging process created more impetus to keep track of changes and document and validate them. To this end, we developed a Protégé plugin that better supports this new process. When we were in the stage of being very detailed we wanted to mark axioms for each classes if they were migrated or not. Yellow was reviewed, green was complete with axiom migration