Dear Victor, (01)
I'm very interested on collaborating in your proposal playing the
role of an ontology evaluation expert.
We can use OOPS! as first step for identifying problems in the
ontologies and then we can also use the method in which OOPS! is based
(probably in combination with other quality frameworks such as the one
presented by Samir Tartir and the one presented by Astrid Duque). (02)
Best Regards, (03)
Mari Carmen. (04)
El 06/03/2013 17:40, Victor Agroskin escribió:
> Ontology Clinic - A: Verification and quality measurements for ISO
> 15926 reference data
>
> Abstract
>
> This ontology clinic is aimed to the evaluation of publicly available
> ISO 15926 reference data viewing it as ontology for engineering
> domain. We will look for compliance to upper ontology constraints,
> diagnose problems in reference data, evaluate ease of understanding
> and use of existing data, and make suggestions for ontology
> improvement. Another goal is to apply formal ontology quality metrics
> for data in question..
>
> The effort will develop rules and algorithms to support generic
> verification tests, and also attempt to invent and implement
> specialized checks and quality metrics for ISO 15926 reference data.
>
>
> Ontology involved
>
> The ISO 15926 is a standard for engineering data integration, sharing,
> exchange, and hand-over. The standard defines a generic data model as
> an upper ontology for an engineering domain. Extensive Reference Data
> Libraries (ontology data) for process plants are developed by
> community of users, which includes equipment manufacturers,
> engineering companies and owner/operator companies in oil and gas,
> nuclear power, petrochemical industries, and others. Standard
> development and application is jointly managed as JORD project by two
> industry associations: POSC Caesar Association and FIATECH.
>
> Upper ontology of the ISO 15926 is publicly available as an OWL
> representation of ISO 15926-2 at
> http://rds.posccaesar.org/2008/02/OWL/ISO-15926-2_2003 (see
> https://www.posccaesar.org/wiki/ISO15926inOWL for more details).
>
> JORD Reference Data Library is available as a reference data service:
>
> - the human browser access & query page is http://posccaesar.org/endpoint/
>
> - the SPARQL endpoint is http://posccaesar.org/endpoint/sparql
>
> A snapshot file with full content of an endpoint is available for
> download at http://rds.posccaesar.org/downloads/PCA-RDL.owl.zip .
>
> Various resources for study of ISO 15926 are available from
> http://www.infowebml.ws/, http://www.15926.info/,
> http://www.15926.org/ (see self-education guide at
> http://levenchuk.com/2012/10/01/iso-15926-self-education-sequence/).
>
>
> Goals
>
> Evaluate publicly available ISO 15926 reference data:
>
> - compliance to the best practices of ontology engineering;
>
> - compliance to logical model and upper ontology constraints;
>
> - diagnose problems in reference data;
>
> - make suggestions for data improvement;
>
> - evaluate ease of access, understanding and use of existing ontology data.
>
> We'd also like to attempt calculation of ontology quality metrics for
> ISO 15926 upper ontology and Reference Data Library in various
> software environments or by standalone tools. We can use existing
> methodologies (like OntoClean, OQuaRE or OntoQA) or brainstorm for new
> metrics.
>
>
> Tools
>
> Availability of data in OWL, RDF/XML and at a SPARQL endpoint allows
> the use of both public and proprietary tools in this clinic project.
> General purpose ontology management and Semantic Web tools can be used
> along with special purpose tools developed for work with ISO 15926
> data (like iRING Tools
> http://iringug.org/wiki/index.php?title=IRINGTools or .15926 Editor
> http://techinvestlab.ru/dot15926Editor).
>
>
> Collaborators
>
> Project initiators are TechInvestLab.ru, Moscow (Russia) based
> company, developer of .15926 software environment. Another team of
> tool developers from Moscow (http://agentlab.blogspot.ru) has also
> expressed interest in participation.
>
> We are looking for collaborators – ontology evaluation experts
> commanding any generic or specialized software tools to work on
> proposed ISO 15926 datasets. We will welcome software tool developers
> willing to show use of their instruments for project tasks.
>
> Our own tool .15926 Editor is freely available (see link above), well
> documented, is designed for exploratory programming and includes
> examples of use for data verification. Basic knowledge of Python
> programming language will be enough to join us in the project with
> this tool.
>
> We will be happy to provide office space for real world collaboration
> in Moscow, well connected to the virtual environment of Hakathon.
>
>
> Deliverables
>
> We are panning to get:
>
> - the list of “hard” problems (errors, inconsistencies, missing data,
> etc.) in existing JORD Reference Data Library;
>
> - characterization of any “soft” problems with data identification,
> availability, understandability, etc.;
>
> - adopted or new ontology quality metric methodologies for ISO 15926 ontology;
>
> - ontology quality metrics calculated for JORD Reference Data Library;
>
> - suggestions for improvement of data consistency and quality in JORD
> Reference Data Library;
>
> - algorithms, scripts, software tools proven to be useful for
> verification and quality assessment of ISO 15926 data, made available
> to ISO 15926 community.
>
> Project results will be presented 11-14 of April at ISO 15926 round
> table during 4th annual Systems Engineering Challenges workshop of
> INCOSE Russian chapter.
>
> ***
>
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--
----------------------------------------------
Dr. Mari Carmen Suárez-Figueroa
Assistant Professor (06)
Ontology Engineering Group (OEG) (07)
Departamento de Inteligencia Artificial
Facultad de Informática
Universidad Politécnica de Madrid
Campus de Montegancedo, s/n
Boadilla del Monte - 28660 Madrid (08)
Phone: (+34) 91 336 36 72
Fax: (+34) 91 352 48 19
e-mail: mcsuarez@xxxxxxxxx
Office: 3205
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