PerfectO: An Online Toolkit for Improving Quality …
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integrate when developing the methodology, but the implementation depends on web
reliability and the maintenance of web services. Sometimes the servers hosting the
web services are down, or when new versions are released, it has an impact on the
implementation. When the tools are open source, such dependencies are avoided,
but it is more time-consuming for developers to get into the code based on various
languages and technologies. It is another reason demonstrating the needs to help
ontology designers. In Table 3, within the maintained column: High means that the
community behind the tools is reactive when issues arise such as server down, fixing
bugs, answering questions or adding new functionalities. Medium means that the
tools is frequently down, due to server issues.
More tools will be integrated later since we are facing the issues of the availability
of tools as well. For this reason, a parallel work was to develop the Dr. PerfectO
Availability of Tools (DPAT) component demonstrator (introduced in Section 7.2).
References
1. Paulheim, H.: Knowledge graph refinement: a survey of approaches and evaluation methods.
Semant. Web 8(3), 489–508 (2017)
2. Bizer, C., Heath, T., Berners-Lee, T.: Linked data-the story so far. Int. J. Semant. Web Inf. Syst.
(2009)
3. Gruber, T.R.: Toward principles for the design of ontologies used for knowledge sharing? Int.
J. Hum.-Comput. Stud. (1995)
4. Vandenbussche, P.Y., Atemezing, G.A., Poveda-Villalón, M., Vatant, B.: Linked Open Vocabularies (LOV): a gateway to reusable semantic vocabularies on the Web. Semant. Web J. (2016)
5. Gyrard, A., Zimmermann, A., Sheth, A.: Building IoT based applications for Smart Cities:
how can ontology catalogs help? IEEE Internet Things J. (2018)
6. Gyrard, A., Bonnet, C., Boudaoud, K., Serrano, M.: LOV4IoT: a second life for ontologybased domain knowledge to build Semantic Web of Things applications. In: IEEE International
Conference on Future Internet of Things and Cloud (2016)
7. Gyrard, A., Atemezing, G., Bonnet, C., Boudaoud, K., Serrano, M.: Reusing and unifying
background knowledge for internet of things with LOV4IoT. In: IEEE International Conference
on Future Internet of Things and Cloud (2016)
8. Zaveri, A., Rula, A., Maurino, A., Pietrobon, R., Lehmann, J., Auer, S.: Quality assessment
for linked data: a survey. Semant. Web J. 7(1):63–93 (2015)
9. McDaniel, M., Storey, V.C., Sugumaran, V.: Assessing the quality of domain ontologies: metrics
and an automated ranking system. Data Knowl. Eng. 115, 32–47 (2018)
10. Raad, J., Cruz, C.: A survey on ontology evaluation methods. In: KEOD (2015)
11. Hlomani, H., Stacey, D.: Approaches, methods, metrics, measures, and subjectivity in ontology
evaluation: a survey. Semant. Web J. (2014)
12. García, J., Jose’García-Peñalvo, F., Therón, R.: A survey on ontology metrics. In: World Summit
on Knowledge Society. Springer (2010)
13. Fernández-López, M., Poveda-Villalón, M., Suárez-Figueroa, M.C., Gómez-Pérez, A.: Why
are ontologies not reused across the same domain? J. Web Semant. (2018)
14. Rus, I., Lindvall, M.: Knowledge management in software engineering. IEEE Softw. J. 19,
26–38 (2002)
15. Serrano, M., Barnaghi, P., Carrez, F., Cousin, P., Vermesan, O., Friess, P.: Internet of Things
IoT Semantic Interoperability: Research Challenges, Best Practices, Recommendations and
Next Steps. Technical report, IERC AC4 (2015)
189
integrate when developing the methodology, but the implementation depends on web
reliability and the maintenance of web services. Sometimes the servers hosting the
web services are down, or when new versions are released, it has an impact on the
implementation. When the tools are open source, such dependencies are avoided,
but it is more time-consuming for developers to get into the code based on various
languages and technologies. It is another reason demonstrating the needs to help
ontology designers. In Table 3, within the maintained column: High means that the
community behind the tools is reactive when issues arise such as server down, fixing
bugs, answering questions or adding new functionalities. Medium means that the
tools is frequently down, due to server issues.
More tools will be integrated later since we are facing the issues of the availability
of tools as well. For this reason, a parallel work was to develop the Dr. PerfectO
Availability of Tools (DPAT) component demonstrator (introduced in Section 7.2).
References
1. Paulheim, H.: Knowledge graph refinement: a survey of approaches and evaluation methods.
Semant. Web 8(3), 489–508 (2017)
2. Bizer, C., Heath, T., Berners-Lee, T.: Linked data-the story so far. Int. J. Semant. Web Inf. Syst.
(2009)
3. Gruber, T.R.: Toward principles for the design of ontologies used for knowledge sharing? Int.
J. Hum.-Comput. Stud. (1995)
4. Vandenbussche, P.Y., Atemezing, G.A., Poveda-Villalón, M., Vatant, B.: Linked Open Vocabularies (LOV): a gateway to reusable semantic vocabularies on the Web. Semant. Web J. (2016)
5. Gyrard, A., Zimmermann, A., Sheth, A.: Building IoT based applications for Smart Cities:
how can ontology catalogs help? IEEE Internet Things J. (2018)
6. Gyrard, A., Bonnet, C., Boudaoud, K., Serrano, M.: LOV4IoT: a second life for ontologybased domain knowledge to build Semantic Web of Things applications. In: IEEE International
Conference on Future Internet of Things and Cloud (2016)
7. Gyrard, A., Atemezing, G., Bonnet, C., Boudaoud, K., Serrano, M.: Reusing and unifying
background knowledge for internet of things with LOV4IoT. In: IEEE International Conference
on Future Internet of Things and Cloud (2016)
8. Zaveri, A., Rula, A., Maurino, A., Pietrobon, R., Lehmann, J., Auer, S.: Quality assessment
for linked data: a survey. Semant. Web J. 7(1):63–93 (2015)
9. McDaniel, M., Storey, V.C., Sugumaran, V.: Assessing the quality of domain ontologies: metrics
and an automated ranking system. Data Knowl. Eng. 115, 32–47 (2018)
10. Raad, J., Cruz, C.: A survey on ontology evaluation methods. In: KEOD (2015)
11. Hlomani, H., Stacey, D.: Approaches, methods, metrics, measures, and subjectivity in ontology
evaluation: a survey. Semant. Web J. (2014)
12. García, J., Jose’García-Peñalvo, F., Therón, R.: A survey on ontology metrics. In: World Summit
on Knowledge Society. Springer (2010)
13. Fernández-López, M., Poveda-Villalón, M., Suárez-Figueroa, M.C., Gómez-Pérez, A.: Why
are ontologies not reused across the same domain? J. Web Semant. (2018)
14. Rus, I., Lindvall, M.: Knowledge management in software engineering. IEEE Softw. J. 19,
26–38 (2002)
15. Serrano, M., Barnaghi, P., Carrez, F., Cousin, P., Vermesan, O., Friess, P.: Internet of Things
IoT Semantic Interoperability: Research Challenges, Best Practices, Recommendations and
Next Steps. Technical report, IERC AC4 (2015)