PerfectO: An Online Toolkit for Improving Quality …
183
Discussions. Ontologies designed within projects (e.g., European projects) are
more impactful, since they are used by different partners and for real use cases.
For instance, the FIESTA-IoT ontology has been employed within the FIESTA-IoT
H2020 EU project involving 14 academic and industrial partners. However, the major
issue of European projects is the lack of ontology maintenance once the project is
finished.
PerfectO improves ontology quality. For instance, in July 2019, best practices
have been disseminated to the robotics community: IEEE P1872.2 Standard for
Autonomous Robotics (AuR) ontology.
6 Conclusion and Future Work
Designing good quality ontologies is often neglected due to the lack of knowledge
regarding the best practices. Getting familiar with ontology quality tools and best
practices requires a steep learning curve and a lot of effort (e.g., for the IoT community). PerfectO assists ontology designers in this process towards improving
ontologies to be reused in other projects. PerfectO selects and classifies a sub-set
of tools providing an online interface or a web service simple to use. Those tools help
to enhance ontologies and synthesize a set of practices. It has a significant impact
since it has been designed to be applied to the LOV4IoT ontology catalog which
covers more than 20 application domains.
As future work, we plan to use the lessons learned from the evaluated ontologies to
fix the ontology automatically and provide a ranking system to suggest the ontology
fitting the ontology developer’s needs.
Acknowledgements This work has partially received funding from the European Union’s Horizon
2020 research and innovation programme under grant agreement No 857237 (Interconnect), Science
Foundation Ireland (SFI) under Grant Number SFI/12/RC/2289, Insight Centre for Data Analytics
and H2020 FIESTA-IoT-CNECT-ICT-643943. The opinions expressed are those of the authors and
do not reflect those of the sponsors.
7 Appendix
7.1 Catalogs of Tools
The PerfectO web site provides the Catalogs of tools menu (depicted in Fig. 8)
to easily give access to software URLs and publications. The Catalogs of tools
references tools for (1) ontology improvement which is the focus of this paper, (2)
dataset quality, (3) querying, and (4) reasoning. Figure 9 demonstrates an extensive
literature survey within the table of contents classified in two different ways:
• A bullet list referencing tool’s URLs and scientific publications are displayed
simply with clickable links (see Fig. 6 as an example).
183
Discussions. Ontologies designed within projects (e.g., European projects) are
more impactful, since they are used by different partners and for real use cases.
For instance, the FIESTA-IoT ontology has been employed within the FIESTA-IoT
H2020 EU project involving 14 academic and industrial partners. However, the major
issue of European projects is the lack of ontology maintenance once the project is
finished.
PerfectO improves ontology quality. For instance, in July 2019, best practices
have been disseminated to the robotics community: IEEE P1872.2 Standard for
Autonomous Robotics (AuR) ontology.
6 Conclusion and Future Work
Designing good quality ontologies is often neglected due to the lack of knowledge
regarding the best practices. Getting familiar with ontology quality tools and best
practices requires a steep learning curve and a lot of effort (e.g., for the IoT community). PerfectO assists ontology designers in this process towards improving
ontologies to be reused in other projects. PerfectO selects and classifies a sub-set
of tools providing an online interface or a web service simple to use. Those tools help
to enhance ontologies and synthesize a set of practices. It has a significant impact
since it has been designed to be applied to the LOV4IoT ontology catalog which
covers more than 20 application domains.
As future work, we plan to use the lessons learned from the evaluated ontologies to
fix the ontology automatically and provide a ranking system to suggest the ontology
fitting the ontology developer’s needs.
Acknowledgements This work has partially received funding from the European Union’s Horizon
2020 research and innovation programme under grant agreement No 857237 (Interconnect), Science
Foundation Ireland (SFI) under Grant Number SFI/12/RC/2289, Insight Centre for Data Analytics
and H2020 FIESTA-IoT-CNECT-ICT-643943. The opinions expressed are those of the authors and
do not reflect those of the sponsors.
7 Appendix
7.1 Catalogs of Tools
The PerfectO web site provides the Catalogs of tools menu (depicted in Fig. 8)
to easily give access to software URLs and publications. The Catalogs of tools
references tools for (1) ontology improvement which is the focus of this paper, (2)
dataset quality, (3) querying, and (4) reasoning. Figure 9 demonstrates an extensive
literature survey within the table of contents classified in two different ways:
• A bullet list referencing tool’s URLs and scientific publications are displayed
simply with clickable links (see Fig. 6 as an example).