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OOPS! - OntOlogy Pitfall Scanner!
An online system for ontology evaluation
Universidad Politécnica de Madrid
Madrid, 3rd of December, 2014
• Linked Data, Open Data, Data transparency, etc.
o Data annotated by means of ontologies  Semantic Web
• Lack of evaluation in models describing data
o Data inconsistency and incoherency  Lower quality
By 2012, 70% of public web
pages will include some of
semantic mark-up [Gartner, 2007]
RD& for semantic technology will
be $8.5B worldwide (2010)
[Davies, 2006]
Growth in semantic technologies
worldwide: from $2.1B (2006) to
$54B (2010) [Davies, 2007]
ODI helps unlock £11m for open
data innovation in Europe
http://opendatainstitute.org/ [2014]
Problem
2
• Ontology editors
• Semantic based software
• Ontology development
• Examples:
o Google knowledge graph
o BBC ontologies
o Open Data portals
• Government, libraries, museums, health,
biology, etc.
o Local applications too: data integration, search,
NLP, etc.
Application sector
3
Manual / Some tools
Modelling experts
Manual
Domain experts
Ad-hoc tests
Incomplete
Only syntax
No content
Current solutions – Some dimensions
Ontology
language
specification
Modelling
issues
Logical
consistency
Real world
representation
4
• Semi-automatic tool for ontology evaluation
o Available at http://oops.linkeddata.es
o Registered software: M009445/2012
• Ontology editors independent
• Usability
o User interface (feedback, users’ satisfaction test)
o Web service: Third-party software integration
• More automated detections (x3 and more)
o Selection, classification, importance levels
• Conformance badges
Proposed solution
5
software
evaluation
service
Who How Where
Ontology
editors
Semantic
based
software
Ontology
development
s
Use license
Distribution
Consultancy
Extension
development
World wide
What
&
National
Contributing to the semantic technologies field
6
• Used by developers from more than 48 countries (> 2000
executions)
• Contact and relation with enterprises:
o Raytheon, SemanticArts, inova8 (no code shared)
o HoneyWell (contact, interest in local distribution)
• Integration in third-party software:
o OntoHub, Widoco, SmartCities Ontology Catalogue
Imagen: web access Oct 2013 – Oct 2014. Google Analytics
References
7
• Ontology Engineering Group
(20 years of experience in ontological engineering)
o María Poveda Villalón
• PhD student – Design and development
o Miguel Ángel García Delgado
• Software engineer – Development and support
o Mari Carmen Suárez de Figueroa Baonza
• Assistant Professor – Design and supervision
o Asunción Gómez Pérez
• Full Professor – Design and supervision
Team
8
Contact
María Poveda Villalón
Ontology Engineering Group
mpoveda@fi.upm.es
Universidad Politécnica de Madrid
http://oops.linkedadata.es
oops@delicias.dia.fi.upm.es
@OOPSoeg
9

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[UPM innovatech] OOPS! Ontology Pitfall Scanner! (María Poveda)

  • 1. Work distributed under the license Creative Commons Attribution-Noncommercial-Share Alike 3.0 OOPS! - OntOlogy Pitfall Scanner! An online system for ontology evaluation Universidad Politécnica de Madrid Madrid, 3rd of December, 2014
  • 2. • Linked Data, Open Data, Data transparency, etc. o Data annotated by means of ontologies  Semantic Web • Lack of evaluation in models describing data o Data inconsistency and incoherency  Lower quality By 2012, 70% of public web pages will include some of semantic mark-up [Gartner, 2007] RD& for semantic technology will be $8.5B worldwide (2010) [Davies, 2006] Growth in semantic technologies worldwide: from $2.1B (2006) to $54B (2010) [Davies, 2007] ODI helps unlock £11m for open data innovation in Europe http://opendatainstitute.org/ [2014] Problem 2
  • 3. • Ontology editors • Semantic based software • Ontology development • Examples: o Google knowledge graph o BBC ontologies o Open Data portals • Government, libraries, museums, health, biology, etc. o Local applications too: data integration, search, NLP, etc. Application sector 3
  • 4. Manual / Some tools Modelling experts Manual Domain experts Ad-hoc tests Incomplete Only syntax No content Current solutions – Some dimensions Ontology language specification Modelling issues Logical consistency Real world representation 4
  • 5. • Semi-automatic tool for ontology evaluation o Available at http://oops.linkeddata.es o Registered software: M009445/2012 • Ontology editors independent • Usability o User interface (feedback, users’ satisfaction test) o Web service: Third-party software integration • More automated detections (x3 and more) o Selection, classification, importance levels • Conformance badges Proposed solution 5
  • 6. software evaluation service Who How Where Ontology editors Semantic based software Ontology development s Use license Distribution Consultancy Extension development World wide What & National Contributing to the semantic technologies field 6
  • 7. • Used by developers from more than 48 countries (> 2000 executions) • Contact and relation with enterprises: o Raytheon, SemanticArts, inova8 (no code shared) o HoneyWell (contact, interest in local distribution) • Integration in third-party software: o OntoHub, Widoco, SmartCities Ontology Catalogue Imagen: web access Oct 2013 – Oct 2014. Google Analytics References 7
  • 8. • Ontology Engineering Group (20 years of experience in ontological engineering) o María Poveda Villalón • PhD student – Design and development o Miguel Ángel García Delgado • Software engineer – Development and support o Mari Carmen Suárez de Figueroa Baonza • Assistant Professor – Design and supervision o Asunción Gómez Pérez • Full Professor – Design and supervision Team 8
  • 9. Contact María Poveda Villalón Ontology Engineering Group mpoveda@fi.upm.es Universidad Politécnica de Madrid http://oops.linkedadata.es oops@delicias.dia.fi.upm.es @OOPSoeg 9