Ontology Clinic - A: Verification and quality measurements for ISO
15926 reference data (01)
Abstract (02)
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.. (03)
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. (04)
Ontology involved (05)
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. (06)
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). (07)
JORD Reference Data Library is available as a reference data service: (08)
- the human browser access & query page is http://posccaesar.org/endpoint/ (09)
- the SPARQL endpoint is http://posccaesar.org/endpoint/sparql (010)
A snapshot file with full content of an endpoint is available for
download at http://rds.posccaesar.org/downloads/PCA-RDL.owl.zip . (011)
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/). (012)
Goals (013)
Evaluate publicly available ISO 15926 reference data: (014)
- compliance to the best practices of ontology engineering; (015)
- compliance to logical model and upper ontology constraints; (016)
- diagnose problems in reference data; (017)
- make suggestions for data improvement; (018)
- evaluate ease of access, understanding and use of existing ontology data. (019)
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. (020)
Tools (021)
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). (022)
Collaborators (023)
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. (024)
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. (025)
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. (026)
We will be happy to provide office space for real world collaboration
in Moscow, well connected to the virtual environment of Hakathon. (027)
Deliverables (028)
We are panning to get: (029)
- the list of “hard” problems (errors, inconsistencies, missing data,
etc.) in existing JORD Reference Data Library; (030)
- characterization of any “soft” problems with data identification,
availability, understandability, etc.; (031)
- adopted or new ontology quality metric methodologies for ISO 15926 ontology; (032)
- ontology quality metrics calculated for JORD Reference Data Library; (033)
- suggestions for improvement of data consistency and quality in JORD
Reference Data Library; (034)
- algorithms, scripts, software tools proven to be useful for
verification and quality assessment of ISO 15926 data, made available
to ISO 15926 community. (035)
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. (036)
*** (037)
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