staab-keynote-keod-v4 - uni koblenz-landaustaab/... · pattern-based ontology design is the...

Networked Networked OntologiesOntologies

Steffen StaabInformation Systems & Semantic Web

Universität Koblenz-Landau Koblenz, Germany

With acknowledgements to S. Schenk, M. Aquin, E. Motta and the NeOn project team

http://www.neon-project.org/

<is web>

IST-2005-027595NeOn-project.org

Steffen StaabISWebSlide 2

The Semantic Web ExplosionThe Semantic Web Explosion


Steffen StaabISWeb

Agenda

Ontologies Data

Applications

Networks


Steffen StaabISWeb

What is the status of the „semanticWeb“?


Steffen StaabISWeb

Best Buy

Sep 09


Agenda

Ontologies Data

Applications

Networks


Slide 7

One Type of One Type of OntologyOntology NetworkNetwork

O1 O1‘priorVersionOf

O2

M1,2

relatedWith

sourcetarget

O3 O4

depe

ndsO

nO1‘‘

incompatibleWith

M1‘,2

source

extends

priorVersionOf

Requirement: Version, provenance and consistency management


Another Type of Ontology Network

Requirement: Joint Development


Yet Another Type of Ontology Network

Requirement: Ontology Design Pattern Management


Steffen StaabISWeb

Agenda

Ontologies Data

Applications

Networks



Networked Networked OntologiesOntologies in FAOin FAO

FAO has numerous information systems about the world’s Fisheries:

– Heterogeneous data: • statistics, documents, GIS,

thesaurus...– Multilingual:

• Arabic, Chinese, English, French, Spanish and Russian

– Much of the data are ‘structured’, but not necessarily interoperable.

FAO’s previous work (2003) to build a Fisheries ontology had drawbacks:

– too big– un-manageable for

maintenance– inefficient to be used by

systems

NeOn vision: – resources remain independent

and they are networked by mapping them:

• smaller ontologies• mapping them• effective maintenance of

ontologies and mappings

Better exploited using ontologies, by bringing together related information



Networked Networked OntologiesOntologies: An Example: An Example

gear types

territorial water

fish is fishedwith a gear

gear ison vessel

commodities from fish

fish lives in a sea synonyms, translations

Fisheries ontology Fisheries networked ontologies

territorieswater areas

commodities

vessel types

speciesAgroVoc



Fisheries Fisheries OntologiesOntologies for the Fish Stock for the Fish Stock Depletion Assessment System (FSDAS)Depletion Assessment System (FSDAS)

FSDAS requirements:

– Using NeOn Toolkit runtime functionality

Fishery ontologies lifecycle requirements:

– Using NeOn Toolkit design time functionality


Applications need to Talk to Each Other

http://www.weknowit.eu/

Networked Applications: Talk to Each Other


Steffen StaabISWeb

Agenda

Ontologies Data

Applications

NetworksDevelop

Operate


Steffen StaabISWeb

NeOnNeOn ToolkitToolkit

Slide 16

29 Plugins availablefor the current

download


Steffen StaabISWebSlide 17 Slide 17

The The NeOnNeOn Toolkit ontology development Toolkit ontology development environmentenvironment

Core ontology editor with – Support ontology engineering and management – Support for complete ontology lifecycle– Support for different languages (OWL, F-Logic)– Support for networked ontologies (modules, mappings)

Built on the Eclipse platform

Extensible architecture– Via Eclipse plugin

mechanism

Community support– http://neon-toolkit.org



RequirementRequirement: Version, : Version, provenanceprovenance and and consistencyconsistency managementmanagement

O1 O1‘priorVersionOf

O2

M1,2

relatedWith

sourcetarget

O3 O4

depe

ndsO

nO1‘‘

incompatibleWith

M1‘,2

source

extends

priorVersionOf

Requirement: Version, provenance and consistency management


Steffen StaabISWeb

ExampleExample fromfrom FAO Case Study: FAO Case Study: Water Water AreaArea –– RADON to RADON to thethe rescuerescue

ID_30_558ID_20_331

SubArea SubDivisionDivisiondisjoint disjoint

hasPart hasPart

ID_40_724hasPart hasPart

Transitive(hasPart)

hasPart(inferred)

From Peter Haase


Steffen StaabISWeb

Provenance Tracing

OWLAxiomAnnotation(transitive(hasPart)MetaKnowledgeAnnotation(annot1

AgentAnnotation(OntoEngSmith)))

OWLAxiomAnnotation(PropertyAssertion(ID˙20˙331 hasPart ID˙30˙558)MetaKnowledgeAnnotation(annot2

AgentAnnotation(KnowEngJones)))

OWLAxiomAnnotation(PropertyAssertion(ID˙30˙558 hasPart ID˙40˙724)MetaKnowledgeAnnotation(annot2

AgentAnnotation(KnowEngJones)))

…

{OntoEngSmith,KnowEngJones}

Also applicable to time, location, fuzzy,….

http://isweb.uni-koblenz.de/Research/systeme/MetaKnowledge


Steffen StaabISWeb




Steffen StaabISWeb

Joint Development of AGROVOC@FAO

Problems:

Communication between world-wide users and development team

Communication within the development team


Steffen StaabISWeb

Discussion Support for Collaborative OntologyEngineering

Allow an efficient, collaborative decision process– Structuring and understanding the problem– Systematic exploration of possible solutions

Documentation of the ontology design rationale– Attach discussions to changes in the ontology– Resuming of discussions, e.g. if requirements have changed


Steffen StaabISWeb

Cicero

Enhanced discussion support for Semantic MediaWiki– Guiding the user through the discussion workflow– Different argument types, voting and decision procedures

Issue / suggestion

Summarized Solution Proposals

Overview

Start Discussion

http://isweb.uni-koblenz.de/Research/systeme/Cicero


Steffen StaabISWeb

Plugin for NeOn Toolkit

Integration of Cicero into an ontology editor (NeOn toolkit)– Creating and searching discussions from within the toolkit– Annotating discussions to ontology elements

Context menufor creating /

showing issues

Issue creation form

http://isweb.uni-koblenz.de/Research/systeme/Cicero


Steffen StaabISWeb



From Ansgar Scherp


Steffen StaabISWeb

Design PatternsDesign Patterns

OWL is not enough for building a good ontology, and we cannot ask all web users either to learn logic, or to study ontology design

Reusable solutions are described as Ontology Design Patterns, which help reducing arbitrariness without asking for sophisticated skills ...

... provided that tools are built for any user

Slide 27

From Aldo Gangemi

An ontology design pattern is a successful reusable solution to arecurrent modeling problem


Steffen StaabISWeb

PatternPattern--Based DesignBased Design

Pattern-based ontology design is the activity of searching, selecting, and composing different patterns

Based on a catalogue of design patterns: – http://www.ontologydesignpatterns.org

Slide 28

From Aldo Gangemi


Steffen StaabISWeb

Support for Extreme Ontology DesignSupport for Extreme Ontology Design

Slide 29

From Valentina Presutti


Steffen StaabISWeb

Agenda

Ontologies Data

Applications

NetworksDevelop

Operate



Fish Stock Depletion Assessment System Fish Stock Depletion Assessment System (FSDAS)(FSDAS)

FSDAS requirements:

– Using NeOn Toolkit runtime functionality

Fishery ontologies lifecycle requirements:

– Using NeOn Toolkit design time functionality

NeOn Toolkit – GUI = Runtime Backend


Steffen StaabISWeb

Integrating Multiple Web2.0 Apps: Semaplorer

http://isweb.uni-koblenz.de/Research/systeme/semap


Steffen StaabISWeb

Networked Repositories

GeoNames

RDFS Rules

PlaceOfBirthbirthplace

birthplace

WordNet Swoogle

fulltext

+ ++

+

Views,Distributed Joins,& „Function Tables“built into SPARQL

NetworkedGraphs + Federator

http://isweb.uni-koblenz.de/Research/systeme/NetworkedGraphs


Conclusion

Networked Ontologies, Data and Applications– Develop– Operate

NeOn Toolkit– Versatile– 29 Plugins currently available– Development environment– Runtime environment– Functionality constantaneously extended

Interesting New Challenges: Networked Ontologies of and for– Ontology Reuse– Ontology Publishing– Ontology Trust– ….



Thank You!

Basic InformationBasic Information

Steffen Staab


Steffen StaabISWeb

Scratching the tip of the iceberg

R. Dividino, S. Sizov, S. Staab, B. Schüler. Managing RDF with Meta Knowledge Awareness. In: Journal of Web Semantics. Special issue on "The Web of Data". Elsevier, 7(3), 2009.

Simon Schenk; Carsten Saathoff; Steffen Staab; Ansgar Scherp. SemaPlorer---Interactive Semantic Exploration of Data and Media based on a Federated Cloud Infrastructure. In Journal of Web Semantics, Elsevier, 7(4), 2009.

R. Dividino, S. Schenk, S. Sizov, S. Staab. Provenance, Trust, Explanations - and all that other Meta Knowledge. Kuenstliche Intelligenz. 23(2), 2009.

T. Franz, A. Schultz, S. Sizov, S. Staab. TripleRank: Ranking Semantic Web Data by Tensor Decomposition. In: Proc. of ISWC-2009 – International Semantic Web Conference, Westfield, USA, Oct 25-29, 2009.

A. Scherp, T. Franz, C. Saathoff, S. Staab. F – A Model of Events based on the Foundational Ontology DOLCE+ Ultra Light. In: Proc. of K-Cap 2009. Fifth Int. Conference on Knowledge Capture. ACM Press. Sep 1-4, 2009, Redondo Beach, CA, USA.

T. Franz, A. Scherp, S. Staab. Are Semantic Desktops Better? Summative Evaluation Comparing a Semantic against a Conventional Desktop. In: Proc. of K-Cap 2009. Fifth Int. Conference on Knowledge Capture. ACM Press. Sep 1-4, 2009, Redondo Beach, CA, USA.

S. Schenk, S. Staab. Networked Graphs: A Declarative Mechanism for SPARQL Rules, SPARQL Views and RDF Data Integration on the Web. In: Proc. of WWW-2008, 17th Int. World Wide Web Conference, Bejing, China, April 21-25, 2008, pp. 585-594.

B. Schüler, S. Sizov, S. Staab, Duc Thanh Tran. Querying for Meta Knowledge. In: Proc. of WWW-2008, 17th Int. World Wide Web Conference, Bejing, China, April 21-25, 2008, pp. 625-634.

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