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Welcome

Welcome at the website of the project ARISTOTELES: Methodology and algorithms for Automatic RevISion of onTOlogies in TAsk basEd scEnarioS funded by the National Science Center Poland under the grant number UMO-2014/13/D/ST6/02076 (2015-2018).

The scientific problem to be solved by the project is the development and experimental evaluation of a methodology for automatic revision of ontologies based on the performance of the processes accomplishing tasks in which ontology is used in task-based scenarios.

Two types of scenarios will be considered:

  • meta-mining for automatic data mining workflow construction
  • dialog systems

The main idea of the project is illustrated in the following figure:

Timeline of @aristoteles_ncn
aristoteles_ncnaristoteles_ncn11 months
RT @PotoniecJ: C. Maria Keet gives a talk about ontology TDD @agalawrynowicz @aristoteles_ncn #ESWC2016 https://t.co/Zd7mtRawHm
aristoteles_ncnaristoteles_ncn11 months
RT @agalawrynowicz: Maria Keet is presenting our paper on TDD for ontologies @aristoteles_ncn #ESWC2016 https://t.co/jXJObi1GHp
aristoteles_ncnaristoteles_ncn11 months
RT @JLehmann82: The 5th edition of the Know@LOD workshop starting at @eswc_conf today at 9am with nine presentations! #machinelearning #sem…
aristoteles_ncnaristoteles_ncn11 months
RT @agalawrynowicz: Piotr Jakubowski presenting our paper on #MLFrameNet at Know@LOD2016 #eswc2016 #machinelearning #aristoteles_ncn https:…
aristoteles_ncnaristoteles_ncn1 year
RT @agalawrynowicz: Another paper with Maria Keet on TDD of #ontologies #tddonto got accepted this time to #dl2016 https://t.co/kKr192cKIt

Team

dr Agnieszka Ławrynowicz (Principal Investigator)
dr C. Maria Keet (External Co-Investigator)
Michał Robaczyk (PhD Student)
Piotr Jakubowski (PhD Student)

Publications

  1. C. Maria Keet and Agnieszka Ławrynowicz, Test-Driven Development of ontologies (extended version), Technical Report, arXiv.org *.pdf
  2. C. Maria Keet and Agnieszka Ławrynowicz, Test-Driven Development of ontologies, Extended Semantic Web Conference 2016, LNCS, Springer (in press)
  3. Agnieszka Ławrynowicz and C. Maria Keet, The TDDonto Tool for Test-Driven Development of DL Knowledge Bases, Description Logics workshop 2016 (DL2016) (in press)
  4. Piotr Jakubowski and Agnieszka Ławrynowicz, Extending FrameNet to Machine Learning Domain, Know@LOD 2016 workshop, co-located with ESWC2016 (accepted)

Supplementary material for papers 1,2,3: the results of the tests described in the report ABox versus TBox (*.zip) and OWL API versus SPARQL-OWL TBox (*.zip), tested ontologies *.zip

Resources

TDDOnto plugin

TDDOnto plugin can be downloaded from here.

Place the plugin in the plugins folder of Protégé 5.0. It can then be invoked from the Protégé menu Window→Views→Evaluation views→TDDOnto.

ML Framenet

Frames structures and corpus of annotated sentences may be found at: MLFrameNet

start.txt · Last modified: 2016/04/06 15:35 by al