using ontologies for function management · 22th july 2010 using ontologies for function management...

27
22th July 2010 Using ontologies for function management O. Corby C.Faron-Zucker E.Gennari A. Granier I. Mirbel V. Negre A. Tireau Caroline Domerg, Juliette Fabre and Pascal Neveu

Upload: others

Post on 07-Oct-2020

0 views

Category:

Documents


0 download

TRANSCRIPT

Page 1: Using ontologies for function management · 22th July 2010 Using ontologies for function management O. Corby C.Faron-Zucker E.Gennari A. Granier I. Mirbel V. Negre A. Tireau Caroline

22th July 2010

Using ontologies for function management

O. CorbyC.Faron-Zucker

E.GennariA. Granier

I. MirbelV. NegreA. Tireau

Caroline Domerg, Juliette Fabre and Pascal Neveu

Page 2: Using ontologies for function management · 22th July 2010 Using ontologies for function management O. Corby C.Faron-Zucker E.Gennari A. Granier I. Mirbel V. Negre A. Tireau Caroline

Context

Semantic Web tools

Ontology description

Web interface overview

Conclusion

Page 3: Using ontologies for function management · 22th July 2010 Using ontologies for function management O. Corby C.Faron-Zucker E.Gennari A. Granier I. Mirbel V. Negre A. Tireau Caroline

Context Semantic Web tools Ontology description Web interface overview Conclusion

Plant adaptation to climatic change

Environmental stresses X several species

High-throughput phenotyping

Databases

Page 4: Using ontologies for function management · 22th July 2010 Using ontologies for function management O. Corby C.Faron-Zucker E.Gennari A. Granier I. Mirbel V. Negre A. Tireau Caroline

Context Semantic Web tools Ontology description Web interface overview Conclusion

Data analysis and modeling

Experiment monitoring

Plant adaptation to climatic change

Environmental stresses X several species

High-throughput phenotyping

Databases

Page 5: Using ontologies for function management · 22th July 2010 Using ontologies for function management O. Corby C.Faron-Zucker E.Gennari A. Granier I. Mirbel V. Negre A. Tireau Caroline

Context Semantic Web tools Ontology description Web interface overview Conclusion

Data analysis and modeling

Experiment monitoring

High production of R functions

Plant adaptation to climatic change

Environmental stresses X several species

High-throughput phenotyping

Databases

Page 6: Using ontologies for function management · 22th July 2010 Using ontologies for function management O. Corby C.Faron-Zucker E.Gennari A. Granier I. Mirbel V. Negre A. Tireau Caroline

Context Semantic Web tools Ontology description Web interface overview Conclusion

Data analysis and modeling

Experiment monitoring

Many authors and turnover

High production of R functions

Plant adaptation to climatic change

Environmental stresses X several species

High-throughput phenotyping

Databases

Page 7: Using ontologies for function management · 22th July 2010 Using ontologies for function management O. Corby C.Faron-Zucker E.Gennari A. Granier I. Mirbel V. Negre A. Tireau Caroline

Context Semantic Web tools Ontology description Web interface overview Conclusion

Data analysis and modeling

Experiment monitoring

Many authors and turnover

How to share, capitalize, organize and valorize these functions?

High production of R functions

Plant adaptation to climatic change

Environmental stresses X several species

High-throughput phenotyping

Databases

Page 8: Using ontologies for function management · 22th July 2010 Using ontologies for function management O. Corby C.Faron-Zucker E.Gennari A. Granier I. Mirbel V. Negre A. Tireau Caroline

W3C Semantic Web technologies

AIMS

IDEAS

TOOLS

Context Semantic Web tools Ontology description Web interface overview Conclusion

Store and organize the functions

Give an easy and long-term access

Create an ontology to describe R functions

Provide a new kind of repository with reasoning and powerful search tools

Page 9: Using ontologies for function management · 22th July 2010 Using ontologies for function management O. Corby C.Faron-Zucker E.Gennari A. Granier I. Mirbel V. Negre A. Tireau Caroline

Context Semantic Web tools Ontology description Web interface overview Conclusion

Ontology

Formal description of concepts and relations between concepts

Examples of concept: Rfunction Argument Person

Examples of relation: hasArgument isANewVersionOf

→ Provides a controlled vocabulary

→ Designed to be understood by computers

RDF, RDFS and OWL: standard tools to write ontologies

Page 10: Using ontologies for function management · 22th July 2010 Using ontologies for function management O. Corby C.Faron-Zucker E.Gennari A. Granier I. Mirbel V. Negre A. Tireau Caroline

Resource: documents, images, programs, etc

Description: attributes, properties and relations

Framework: model, language and syntaxes (XML) for these descriptions

RDF

Context Semantic Web tools Ontology description Web interface overview Conclusion

Page 11: Using ontologies for function management · 22th July 2010 Using ontologies for function management O. Corby C.Faron-Zucker E.Gennari A. Granier I. Mirbel V. Negre A. Tireau Caroline

F1.R JohnhasAuthor

F2.R

calls

→ R function attributes and properties

→ Relations between R functions

( F1.R , hasAuthor , John )

( F1.R , calls , F2.R )

RDF

Context Semantic Web tools Ontology description Web interface overview Conclusion

RDF is a semantic graph model

An example about R function descriptions:

Page 12: Using ontologies for function management · 22th July 2010 Using ontologies for function management O. Corby C.Faron-Zucker E.Gennari A. Granier I. Mirbel V. Negre A. Tireau Caroline

Provides elements to structure RDF resources such as:

→ Class hierarchy

→ Property restrictions (domain, range)

Example of class: the Rfunction class

F1.R

is_a is_a

F2.R

Rfunction

RDFS

Context Semantic Web tools Ontology description Web interface overview Conclusion

RDF Schema

F1.R and F2.R inherit the properties and attributes of the Rfunction class

Page 13: Using ontologies for function management · 22th July 2010 Using ontologies for function management O. Corby C.Faron-Zucker E.Gennari A. Granier I. Mirbel V. Negre A. Tireau Caroline

OWL

Context Semantic Web tools Ontology description Web interface overview Conclusion

Ontology Web Language

→ Built on top of RDF

→ Allows to define rules: transitivity, symmetry, inverse of, etc

Provides powerful description of concepts and their relationships

Func.R

couldBeUsedAfter

F2.R F1.R

couldBeUsedBefore

Example of OWL rule: INVERSE OF

Page 14: Using ontologies for function management · 22th July 2010 Using ontologies for function management O. Corby C.Faron-Zucker E.Gennari A. Granier I. Mirbel V. Negre A. Tireau Caroline

Context Semantic Web tools Ontology description Web interface overview Conclusion

SPARQLQuery

Language

for RDF/OWL

RDF/OWL files Ontology and annotations

<owl:ObjectProperty rdf:about="#couldBeUsedAfter"> <rdfs:range rdf:resource="#Rfunction"/> <rdfs:domain rdf:resource="#Rfunction"/> <owl:inverseOf rdf:resource="#couldBeUsedBefore"/></owl:ObjectProperty>

Ontology querying

Page 15: Using ontologies for function management · 22th July 2010 Using ontologies for function management O. Corby C.Faron-Zucker E.Gennari A. Granier I. Mirbel V. Negre A. Tireau Caroline

Context Semantic Web tools Ontology description Web interface overview Conclusion

SPARQLQuery

Language

for RDF/OWL

RDF/OWL files Ontology and annotations

<owl:ObjectProperty rdf:about="#couldBeUsedAfter"> <rdfs:range rdf:resource="#Rfunction"/> <rdfs:domain rdf:resource="#Rfunction"/> <owl:inverseOf rdf:resource="#couldBeUsedBefore"/></owl:ObjectProperty>

CORESE (Inria – Edelweiss)

Software and engine to run:

→ rules (transitivity, etc) and to infer

→ SPARQL queries

Query results

Ontology querying

Page 16: Using ontologies for function management · 22th July 2010 Using ontologies for function management O. Corby C.Faron-Zucker E.Gennari A. Granier I. Mirbel V. Negre A. Tireau Caroline

#name

#description

#date#documentation

Has name

Has description

Has creation dateHas repository date

Has documentation

Has audience

Has authorHas contact

#Rpackage

Requires R package

#intention

Has intention

Has argument

Has value

#type#description

Has typeHas description

Has typeHas description

Belongs to

#RcoreFunction

Calls R core function

Calls local R functionCould be used afterCould be used beforeIs adapted fromIs a new version ofLooks like

Argument

Value

Rfunction

Person

Group

Context Semantic Web tools Ontology description Web interface overview Conclusion

Global view

Page 17: Using ontologies for function management · 22th July 2010 Using ontologies for function management O. Corby C.Faron-Zucker E.Gennari A. Granier I. Mirbel V. Negre A. Tireau Caroline

#name

#description

#date#documentation

Has name

Has description

Has creation dateHas documentation

Has audience

Has authorHas contact

Belongs toRfunction

Person

Group

General description of R functions

Context Semantic Web tools Ontology description Web interface overview Conclusion

Page 18: Using ontologies for function management · 22th July 2010 Using ontologies for function management O. Corby C.Faron-Zucker E.Gennari A. Granier I. Mirbel V. Negre A. Tireau Caroline

#Rpackage

Requires R package

#intention

Has intention

Has argument

Has value

#type#description

Has typeHas description

Has typeHas description

Rfunction

Argument

Value

Detailed description of R functions

Context Semantic Web tools Ontology description Web interface overview Conclusion

Page 19: Using ontologies for function management · 22th July 2010 Using ontologies for function management O. Corby C.Faron-Zucker E.Gennari A. Granier I. Mirbel V. Negre A. Tireau Caroline

#RcoreFunction

Calls R core function

Could be used afterCould be used beforeLooks likeIs adapted fromIs a new version ofCalls local R function

INVERSE OF

TRANSITIVITY

TRANSITIVITY

Allow to create the call graph of the R functions

Rfunction

Relations with other R functions

Context Semantic Web tools Ontology description Web interface overview Conclusion

SYMMETRY

Page 20: Using ontologies for function management · 22th July 2010 Using ontologies for function management O. Corby C.Faron-Zucker E.Gennari A. Granier I. Mirbel V. Negre A. Tireau Caroline

Could be used after

Calls local R function

Calls local R function

Relations with other R functions

Context Semantic Web tools Ontology description Web interface overview Conclusion

Growth_Analysis.R

Growth_Computation.R

Growth_Fitting.R

Growth_Modeling.R

Page 21: Using ontologies for function management · 22th July 2010 Using ontologies for function management O. Corby C.Faron-Zucker E.Gennari A. Granier I. Mirbel V. Negre A. Tireau Caroline

Could be used after

Calls local R function

Could be used before

Calls local R function

INVERSE OF

RELATIONS DEDUCED BY INFERENCE

Calls local R function

Relations with other R functions

Context Semantic Web tools Ontology description Web interface overview Conclusion

TRANSITIVITY

Growth_Analysis.R

Growth_Computation.R

Growth_Fitting.R

Growth_Modeling.R

Page 22: Using ontologies for function management · 22th July 2010 Using ontologies for function management O. Corby C.Faron-Zucker E.Gennari A. Granier I. Mirbel V. Negre A. Tireau Caroline

→ A few minutes thanks to pre-filled forms

→ Generation and storage of OWL file

Context Semantic Web tools Ontology description Web interface overview Conclusion

GUI for edition and creation of annotations

Page 23: Using ontologies for function management · 22th July 2010 Using ontologies for function management O. Corby C.Faron-Zucker E.Gennari A. Granier I. Mirbel V. Negre A. Tireau Caroline

Function consultation card

Context Semantic Web tools Ontology description Web interface overview Conclusion

→ Information about the function (author, arguments, intentions, etc)

(

→ Download of R function and associated files (documentation, datasets, etc)

Page 24: Using ontologies for function management · 22th July 2010 Using ontologies for function management O. Corby C.Faron-Zucker E.Gennari A. Granier I. Mirbel V. Negre A. Tireau Caroline

Function consultation card

Context Semantic Web tools Ontology description Web interface overview Conclusion

→ Visualization of the call graph

Example 1

Example 2→ Hypertext links towards semantically related functions

Page 25: Using ontologies for function management · 22th July 2010 Using ontologies for function management O. Corby C.Faron-Zucker E.Gennari A. Granier I. Mirbel V. Negre A. Tireau Caroline

Build a SPARQL request adding conditions on the properties

Example: search the functions

→ Dedicated to the Information System 'Phenodyn' and with an intention of Visualisation

→ That could be used after 'ImportData.R'

→ That call the R core function 'anova'

Powerful search tools

Context Semantic Web tools Ontology description Web interface overview Conclusion

Page 26: Using ontologies for function management · 22th July 2010 Using ontologies for function management O. Corby C.Faron-Zucker E.Gennari A. Granier I. Mirbel V. Negre A. Tireau Caroline

Context Semantic Web tools Ontology description Web interface overview Conclusion

→ Add formal relations with reports, articles, etc

→ Perform more automatic extraction from R function documentation

Prospects

Page 27: Using ontologies for function management · 22th July 2010 Using ontologies for function management O. Corby C.Faron-Zucker E.Gennari A. Granier I. Mirbel V. Negre A. Tireau Caroline

Context Semantic Web tools Ontology description Web interface overview Conclusion

→ Add formal relations with reports, articles, etc

→ Perform more automatic extraction from R function documentation

→ Users find this repository relevant (efficient search, easy annotating)

→ Semantic Web tools allow reasoning for an 'intelligent' repository

→ Models and softwares tools are easy to adapt:

for other fields of research

for other programming languages

for mathematical models

Prospects

Conclusions