Collaborative ontology development

Collaborative Ontology Development

Natasha NoyStanford University

Monday, July 15, 13

The ontology development that we grew up with

Courtesy of Mark Musen

Monday, July 15, 13

Lots of databases and sources

The data is in different silos

Need to integrate them

Considerable benefit if you can integrate the data

Ontologies are essential to science

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Many ontologies today are largeand there are lots of them

• Gene ontology: 28K classes• Foundational Model of Anatomy: >80K classes• NCI Thesaurus: 80K classes• SNOMED CT: >300K classes

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There are lots of ontologies and more to come

BioPortal has more than 350 ontologiesonly in the field of

biomedicine

Users uploaded more than 230 ontologies to

WebProtégé in the first two months after its release

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To provide canonical representation of scientific knowledge

To annotate experimental data to enable interpretation, comparison, and discovery across databases

To facilitate knowledge-based applications for decision support, natural language-processing, data integration

and other applications

Scientists have adopted ontologies

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Ontology development has changed, too

or to any number ofusers anywhere

in the world

from a loneknowledge engineer

to a few distributed

users

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Courtesy of Mark Musen

Monday, July 15, 13

Collaborative Ontology Development

• Collaborative• Several users contribute to a single developing

ontology• There are mechanisms to carry out discussions and

to reach consensus

• Ontologies• From simple taxonomies• To expressive OWL ontologies

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Ontologies That Are Being Developed Collaboratively

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Gene Ontology (GO)

• Developed by the Gene Ontology Consortium• Goal: create a single terminological resource

for annotating genes and gene function from different model organisms:• drosophilla, mouse, e.coli, homo sapiens, ...

• GO: 38,000 classes

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Key Resource: GO Annotations

Manually curated over the past 10 yearsPublicly available

345,000 annotations for homo sapiens

TP53

Gene productGO:0007569

cell aging

GO Term

PubMed article

ManualGO

Annotation

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The Gene Ontology

Terminology for consistent description of gene products

Issue Tracker

Curators of biomedical

databases

GO Curators 3 full-time curators have access to edit GO

Anyone in the community can submit an issue or request

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The NCI Thesaurus

A reference ontology for cancer biology, translational science, and clinical oncology

~20 full-time editors making changes

Changes are not immediately visible

A “lead editor” who approves the changes, and assigns new tasks

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International Classification of Diseases (ICD)

Have you looked at your medical insurance bill lately?

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International Classification of Diseases

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ICD – Why should you care?

Certificate of death

Policy making

Medical bills

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Developing ICD-10: Revision process in the 20th century

8 Annual Revision Conferences (1982 - 89)

17 – 58 Countries participated

1- 5 person delegations

Mainly Health Statisticians

Manual curation

List exchange

Index was done later

"Decibel” Method of discussion

Output: Paper Copy

Work in English only

Limited testing in the field

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ICD-11: the 21st century

• ICD-11 is being developed as an OWL ontology• Being developed collaboratively, in an open

editing process• Links to other ontologies, such as SNOMED CT• 33,000 classes

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Over 250 domain experts from around the world

Organized in groups, which edit different parts of the ontologyT. Tudorache, S. Falconer, C. Nyulas, N. F. Noy and M. A. MusenWill Semantic Web Technologies Work for the Development of ICD-11?International Semantic Web Conference (ISWC 2010), In-Use Track, Shanghai, China

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ICD-11 development process

• Each night a snapshot of the commonly edited ontology is published in a public platform to encourage feedback from the larger community http://apps.who.int/classifications/icd11/browse/f/en

• Editorial workflow• Centrally overseen by WHO• Peer-reviewed process for the content and structure• Experts may add change proposals• WebProtégé used as the collaborative ontology

development platform

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Modeling ICD-11: Different views

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Linearization

Foundation:ICD categories with

Definitions, synonymsClinical descriptionsDiagnostic criteriaCausal mechanismFunctional impact

Primary care

Morbidity

Mortality

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Multi-Linguality

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Links to Other Terminologies

Search in BioPortal

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All properties are reified

Multi-lingualityExternal references

MetadataEvidence

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related to

linguisticEntity : LinguisticEntity

LanguageTerm

id : xsd:stringlinearizationSpecification* :

LinearizationSpecificationdefinition : DefinitionTermsynonym* : LanguageTermbodyPart* : BodyPartTerm ...

ICDCategory

source : xsd:string label : LinguisticEntity ...

ReferenceTerm

label : xsd:stringlanguage : xsd:string

LinguisticEntity linearizationView : LinearizationValueSetlinearizationParent : ICDCategoryType ...

LinearizationSpecification

id : xsd:string

Term

DomainConceptsubclass of

Courtesy of Tania Tudorache

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Monday, July 15, 13

Ontology Development as a Collaborative Process

• Ontology development is an inherently collaborative process

• It is also inherently modular, so “stepping on someone else’s toes” is not a big issue

• Users expect Web 2.0-style interaction: • feeds, emails• watched entities• Web interface• social-networking features

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Dimensions of Collaborative Workflows

• Ontology size• from 100s to 10,000s of concepts

• Size of the community• Contributors (in some form): from 2-3

to dozens

• Editors: from 1-2 to 20

• Control mechanisms• Variety of roles

• Gatekeepers, etc.

• Client-server editing

• Discussion tools• mailing lists, message boards

• face-to-face meetings, telecons

• Synchronization and editing mechanisms• CVS, SVN

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WebProtégé

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“Google docs” for ontologies

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Collaboration Features

• Simultaneous editing• Change tracking• Threaded discussions for ontology entities and changes

(notes, discussions, proposals, reviews)• Watching ontology entities and branches and notifications• Upload and sharing of ontologies• Download any revision of the ontology• Access policies• User interface customization for domain experts• Change analysis and statistics

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Monday, July 15, 13

Notes and discussions

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Change tracking

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Watching entities and branches

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Download any snapshot in time

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Research Challenges

• Human-Computer Interaction:• How do we enable domain experts to contribute effectively?

• What are the minimal sets of constructs necessary?

• Change analysis:• Are there patterns in how users edit ontologies?

• Can we use these patterns to guide user interfaces?

• Community dynamics:• What are the dynamics in groups that develop ontologies

collaboratively?

• Are there explicit or implicit roles?

• Do roles change over time?

Monday, July 15, 13