Report on internship @ DERI, Galway

Copyright 2007 Digital Enterprise Research Institute. All rights reserved.

Digital Enterprise Research Institute www.deri.ie

Report on internship @ DERI, Galway

Jan Zemanek (DIKE, UEP; SmILE, DERI)[email protected]


DERI, Galway in a nutshell

http://www.deri.ie & http://blog.deri.ie/ DERI – Digital Enterprise Research Intitute at National

University of Ireland „Making Semantic Web real.“ Research areas

Semantic Web (cluster) Semantic Web Services (cluster) eLearning (cluster)

Director: Prof. Dr. Stefan Decker Vice director: Prof. Dr. Manfred Hauswirth

around 100 members 2 stable Czech members: Dr. Tomas Vitvar, Vit Novacek

– Tomas has launched his own weblog lately, you can find it at http://www.vitvar.com/blog/


SmILE subcluster

http://smile.deri.ie/ & http://smile.deri.ie/blog/ SmILE stands for Semantic Information Systems and

Language Engineering Group Group leader: Dr. Siegfried Handschuh „focused around the application of Semantic Web and

Language Engineering techniques to support knowledge acquisition and re-use in different settings“

leading project: NEPOMUK (Networked Environment for Personal Ontology-based Management of Unified Knowledge) NEPOMUK aims to build a Social Semantic Desktop which will

present information in a well defined manner, which will be processible by computer, and which will connect and exchange data with other desktops


DINO ontology lifecycle scenario and framework

DINO stands for „Dynamics, INtegration and Ontology“ or „Data and INtensive Ontology“

is a scenario and framework for practical handling of dynamic and large data-sets in an ontology lifecycle, focusing particularly on dynamic integration of learned knowledge into collaboratively developed ontologies


Ontology development

ontologies are very likely subject to change given the dynamic nature of domain knowledge

ontology construction is usually the result of collaboration

it is not always feasible to process all the relevant data and extract the knowledge from them manually this implies a need for (partial) automation of ontology

extraction and management processes in dynamic and data-intensive environments

– this can only be achieved by ontology learning


DINO ontology integration

based on Dynamic Integration of Medical Ontologies in

Large Scale, Novacek, V.; Laera, L.; Handschuh, S.; article

much more details in D2.3.8v1 Report and Prototype of Dynamics in the

Ontology Lifecycle


DINO ontology integration

scheme of the integration process phases of the integration

providing a master ontology providing an extending ontology alignment/negotiation reasoning/management ontology diff triple sorter mapping triples to natural language suggestions


DINO integration scheme


DINO phases of integration

providing a master ontology providing an extending ontology

ontology learning– machine learning and NLP methods are used for a

processing of relevant resources and extracting knowledge from them

– is realised using Text2Onto

any “external” ontology can be provided– we can integrate e.g. different ontologies from the same

domain or specialised/general ontologies



alignment/negotiation provided ontologies need to be reconciled since they

cover the same domain, but might be structured differently

contsists of mappings between the concepts, properties, and relationships in provided ontologies

uses ontology alignment API developed by INRIA Rhone-Alpes



reasoning/management used for merging of the provided ontologies according to

statements in an „alignment ontology“– the „alignment ontology“ consists of axioms merging

classes, individuals and properties

handles inconsistencies like sub-class hierarchy cycles, disjointness-subsumption, disjointness-instantiation

resulting ontology is passed to an ontology diff uses Jena 2 Ontology API



ontology diff possible ontology extensions are equal to the additions

that the merged ontology brings into the master ontology

the addition triples form a base to eventual ontology extension suggestions



triple sorter applies an ordering taking a relevance measure of

possible suggestions into account (based on preferred and unwanted terms)



mapping triples to natural language suggestions produced suggestions are in a form of very simple

natural language statements which are obtained directly from the sorted triples


DINO integration manager

original plans DINO should have been a part of MarcOnt portal initially

– MarcOnt portal (http://www.marcont.org/)– an environment for collaborative ontology development being

developed at DERI, Galway

DINO as a bunch of cooperating Protege(-OWL) plugins– Semantic Version Manager plugin

– Protege plugin built upon SemVersion

– Collaborative Protege– problems with 3rd party libraries used in Text2Onto and

GATE

reality DINO as a stand-alone Java application



Demo


Semantic web for Java developers

interesting Java tools handling Semantic web technologies I encountered or had to deal with directly SemVersion RDF2Go RDFReactor


SemVersion

http://wiki.ontoworld.org/wiki/SemVersion developed mainly by Max Voelkel a versioning system for RDF and RDF ontologies backed by Sesame 2 (since v1.0.0 alpha) enables to

version RDF models commit and merge RDF models

Semantic Version Manager an implementation of SemVersion as a Protege plugin


Semantic Version Manager


RDF2Go

http://wiki.ontoworld.org/wiki/RDF2Go an abstraction over triple (and quad) stores allows a programmer to code against RDF2Go

interface and thus to stay independent of the underlying RDF store

supported RDF stores Jena 2.4 Sesame 2.0 beta 6 (the latest release)

used in SemVersion Aperture


RDF2Go

RDF2Go example code:


RDFReactor

http://wiki.ontoworld.org/wiki/RDFReactor a view of RDF data through object-oriented Java

proxies making using RDF natural for Java developers

„Think in objects, not statements.“ all state information is in a RDF model in a RDF

store at all times RDFReactor Java proxies are stateless

Java proxies are generated automatically from RDF Schema


RDFReactor

example code:


The very last slide

Any (other) questions?

Thank you for your attention!

Report on internship @ DERI, Galway

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