=Paper=
{{Paper
|id=Vol-52/paper-4
|storemode=property
|title=Protégé-2000: A Flexible and Extensible Ontology-Editing Environment
|pdfUrl=https://ceur-ws.org/Vol-52/oas01-noy-presentation.pdf
|volume=Vol-52
}}
==Protégé-2000: A Flexible and Extensible Ontology-Editing Environment==
https://ceur-ws.org/Vol-52/oas01-noy-presentation.pdf
Protégé-2000:
A Flexible and Extensible
Ontology-Editing Environment
Natalya F. Noy,
Monica Crubézy, Ray W. Fergerson,
Samson Tu, Mark A. Musen
Stanford Medical Informatics
Stanford University
Stanford, CA
Facts (maybe)
Fact 1: Ontologies are no longer just for
knowledge engineers
Fact 2: A number of new Semantic-Web
languages and representation formalisms are
emerging; no agreement yet
Fact 3: We are developing ontologies, agents, and
applications today, without waiting for the
standards
Facts and Requirements
n Facts: n Requirements:
n Ontologies are no longer n Domain experts need to
just for knowledge understand and maintain
engineers ontologies
n A number of new n We need adaptable tools
Semantic-Web languages which we can tune to
and representation support new languages
formalisms are emerging; and formalisms quickly
no agreement yet n We need suites of tools for
n We are developing ontology development and
ontologies, agents, and management
applications today, without
waiting for the standards
A Solution
n Protégé-2000 is an ontology-editing and
knowledge-acquisition environment, which has
n a graphical and easy-to-use interface
n a flexible knowledge model
n an extensible plugin architecture
n an existing set of plugins for
n ontology merging
n acquisition of information from online knowledge sources
n constraint specification and verification
n …. (we don’t even know them all)
Protégé-2000 Knowledge-Model
Components
n Classes
concepts in a taxonomic hierarchy
n Instances
instances of classes
n Slots
first-class objects representing properties of classes
and instances
n Facets
constraints on allowed slot values, such as cardinality,
defaults, allowed classes, and so on.
Ontologies in Protégé-2000
Acquiring instance data
Protégé-2000 Architecture
Knowledge Storage
model model
User
interface
Changing the Knowledge Model
Changing the Knowledge Model
n Templates for new
class-level and slot-
level properties
n metaclasses
n metaslots
Changing the Knowledge Model
n Templates for new
class-level and slot-
level properties
n metaclasses
n metaslots
Protégé-2000 Plugin Architecture
• URIs
• Complex expressions
• Primitive and defined classes
• Transitive, symmetric properties
Knowledge Storage
model model
User
interface
Changing The User Interface
n Users can replace any widget on the form with a
different one.
Changing The User Interface
n Users can replace any widget on the form with a
different one.
Protégé-2000 Plugin Architecture
• URIs
• Complex expressions
• Primitive and defined classes
• Transitive, symmetric properties
Knowledge Storage
model model
User
interface
• Acquire and verify URIs
• Use a structured editor
for logical expressions
• Display inferred values
for transitive properties
Changing The Storage Model
n Users can change the output file
format - alternative “back ends”
n The back-end code can
n resolve the remaining differences in
the knowledge model,
n add or remove information,
n map between Protégé knowledge
model and the required knowledge
model
Protégé-2000 Plugin Architecture
• RDF Schema
• URIs
• OIL
• Complex expressions
• XML
• Primitive and defined classes
• JDBC database
• Transitive, symmetric properties
Knowledge Storage
model model
User
interface
• Acquire and verify URIs
• Use a structured editor
for logical expressions
• Display inferred values
for transitive properties
Including New Applications
Knowledge Storage
model model API
Other KB
applications
User
interface
Include New Applications
Integration With
A Description
Logics Classifier
(FaCT)
Using A DL Classifier
Other Plugins
n Diagrammatic knowledge entry
n Ontology visualization
n Ontology merging
n Ontology acquisition from UMLS and
WordNet
n Constraint verification
All these plugins become automatically
available for different languages
As A Result, We Get A Tool That
n can be used for ontology development in
different (overlapping) representation formalisms
n translate models from one formalism to another
n can be easily customized to a new language
n knowledge model
n user interface
n persistent storage
n can incorporate other applications
Our Vision
n Complex, distributed systems built from plug-
and-play components
n Systems that allow evolution throughout their life
cycles via substitution of new components
n Repositories of components for use in new
designs and for updating previous applications
for both ontologies and components
of knowledge-based systems!
http://protege.stanford.edu