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A. Sharma and R. B. Battula
11 Future Trends and Conclusion
Ontology and Vocabulary both are essential components for IoT. The cross linking
and interoperability of data make it difficult to create a standard set difficult. It requires
timely maintenance with up gradation in rules. Security on data is one of the most
needed aspects but similar use of individuals can make it risky. The interoperability
of data is still not possible due to different vocabulary present for IoT which have
no interconnection among each other. Each platform uses its own set of Axioms and
programming languages which make integration difficult. Scrutinize the evaluation
pattern of ontology is still undefined and not considered.
References
1. Gyrard, A., Zimmermann, A., Sheth, A.: Building IoT-based applications for smart cities: how
can ontology catalogs help? IEEE Internet Things J. 5(5), 3978–3990 (2018)
2. Gyrard, A., Serrano, M.: A unified semantic engine for internet of things and smart cities: from
sensor data to end-users applications. In: 2015 IEEE International Conference on Data Science
and Data Intensive Systems, pp. 718–725. IEEE (2015)
3. Kamilaris, A., Gao, F., Prenafeta-Boldu, F. X., Ali, M.I.: Agri-IoT: A semantic framework
for internet of things-enabled smart farming applications. In: 2016 IEEE 3rd World Forum on
Internet of Things (WF-IoT), pp. 442–447. IEEE (2016)
4. Noura, M., Gyrard, A., Heil, S., Gaedke, M.: Automatic knowledge extraction to build semantic
web of things applications. IEEE Internet Things J. 6(5), 8447–8454 (2019)
5. Gyrard, A., Atemezing, G., Bonnet, C., Boudaoud, K., Serrano, M.: Reusing and unifying
background knowledge for internet of things with LOV4IoT. In: 2016 IEEE 4th International
Conference on Future Internet of Things and Cloud (FiCloud), pp. 262–269. IEEE (2016)
6. Ganzha, M., Paprzycki, M., Pawłowski, W., Szmeja, P., Wasielewska, K.: Semantic interoperability in the internet of things: an overview from the INTER-IoT perspective. J. Netw. Comput.
Appl. 81, 111–124 (2017)
7. Gyrard, A., Datta, S.K., Bonnet, C., Boudaoud, K.: Cross-domain internet of things application
development: M3 framework and evaluation. In: 2015 3rd International Conference on Future
Internet of Things and Cloud, pp. 9–16. IEEE (2015)
8. Szilagyi, I., Wira, P.: Ontologies and semantic web for the internet of things-a survey. In: IECON
2016-42nd Annual Conference of the IEEE Industrial Electronics Society, pp. 6949–6954.
IEEE (2016)
9. Gyrard, A., Bonnet, C., Boudaoud, K.: Enrich machine-to-machine data with semantic web
technologies for cross-domain applications. In: 2014 IEEE World Forum on Internet of Things
(WF-IoT), pp. 559–564. IEEE (2014)
10. Bermudez-Edo, M., Elsaleh, T., Barnaghi, P., Taylor, K.: IoT-Lite: a lightweight semantic model
for the internet of things and its use with dynamic semantics. Pers. Ubiquit. Comput. 21(3),
475–487 (2017)
11. Gyrard, A., Bonnet, C., Boudaoud, K., Serrano, M.: LOV4IoT: a second life for ontologybased domain knowledge to build semantic web of things applications. In: 2016 IEEE 4th
International Conference on Future Internet of Things and Cloud (FiCloud), pp. 254–261.
IEEE (2016)
12. Gyrard, A., Serrano, M., Atemezing, G. A.: Semantic web methodologies, best practices and
ontology engineering applied to Internet of Things. In: 2015 IEEE 2nd World Forum on Internet
of Things (WF-IoT), pp. 412–417. IEEE (2015)
A. Sharma and R. B. Battula
11 Future Trends and Conclusion
Ontology and Vocabulary both are essential components for IoT. The cross linking
and interoperability of data make it difficult to create a standard set difficult. It requires
timely maintenance with up gradation in rules. Security on data is one of the most
needed aspects but similar use of individuals can make it risky. The interoperability
of data is still not possible due to different vocabulary present for IoT which have
no interconnection among each other. Each platform uses its own set of Axioms and
programming languages which make integration difficult. Scrutinize the evaluation
pattern of ontology is still undefined and not considered.
References
1. Gyrard, A., Zimmermann, A., Sheth, A.: Building IoT-based applications for smart cities: how
can ontology catalogs help? IEEE Internet Things J. 5(5), 3978–3990 (2018)
2. Gyrard, A., Serrano, M.: A unified semantic engine for internet of things and smart cities: from
sensor data to end-users applications. In: 2015 IEEE International Conference on Data Science
and Data Intensive Systems, pp. 718–725. IEEE (2015)
3. Kamilaris, A., Gao, F., Prenafeta-Boldu, F. X., Ali, M.I.: Agri-IoT: A semantic framework
for internet of things-enabled smart farming applications. In: 2016 IEEE 3rd World Forum on
Internet of Things (WF-IoT), pp. 442–447. IEEE (2016)
4. Noura, M., Gyrard, A., Heil, S., Gaedke, M.: Automatic knowledge extraction to build semantic
web of things applications. IEEE Internet Things J. 6(5), 8447–8454 (2019)
5. Gyrard, A., Atemezing, G., Bonnet, C., Boudaoud, K., Serrano, M.: Reusing and unifying
background knowledge for internet of things with LOV4IoT. In: 2016 IEEE 4th International
Conference on Future Internet of Things and Cloud (FiCloud), pp. 262–269. IEEE (2016)
6. Ganzha, M., Paprzycki, M., Pawłowski, W., Szmeja, P., Wasielewska, K.: Semantic interoperability in the internet of things: an overview from the INTER-IoT perspective. J. Netw. Comput.
Appl. 81, 111–124 (2017)
7. Gyrard, A., Datta, S.K., Bonnet, C., Boudaoud, K.: Cross-domain internet of things application
development: M3 framework and evaluation. In: 2015 3rd International Conference on Future
Internet of Things and Cloud, pp. 9–16. IEEE (2015)
8. Szilagyi, I., Wira, P.: Ontologies and semantic web for the internet of things-a survey. In: IECON
2016-42nd Annual Conference of the IEEE Industrial Electronics Society, pp. 6949–6954.
IEEE (2016)
9. Gyrard, A., Bonnet, C., Boudaoud, K.: Enrich machine-to-machine data with semantic web
technologies for cross-domain applications. In: 2014 IEEE World Forum on Internet of Things
(WF-IoT), pp. 559–564. IEEE (2014)
10. Bermudez-Edo, M., Elsaleh, T., Barnaghi, P., Taylor, K.: IoT-Lite: a lightweight semantic model
for the internet of things and its use with dynamic semantics. Pers. Ubiquit. Comput. 21(3),
475–487 (2017)
11. Gyrard, A., Bonnet, C., Boudaoud, K., Serrano, M.: LOV4IoT: a second life for ontologybased domain knowledge to build semantic web of things applications. In: 2016 IEEE 4th
International Conference on Future Internet of Things and Cloud (FiCloud), pp. 254–261.
IEEE (2016)
12. Gyrard, A., Serrano, M., Atemezing, G. A.: Semantic web methodologies, best practices and
ontology engineering applied to Internet of Things. In: 2015 IEEE 2nd World Forum on Internet
of Things (WF-IoT), pp. 412–417. IEEE (2015)