Semantic Web and IoT
27
15. Van de Vyvere, B., D’haene, K., D’haene, K., Colpaert, P., Verborgh, R.: Predicting phase
durations of traffic lights using live open traffic lights data. In: Joint Proceedings of the
1st International Workshop On Semantics For Transport and the 1st International Workshop
on Approaches for Making Data Interoperable co-located with 15th Semantics Conference
(SEMANTiCS 2019), pp. 1–7 (2019)
16. Choi, C., Esposito, C., Wang, H., Liu, Z., Choi, J.: Intelligent Power Equipment Management
Based on Distributed Context-Aware Inference in Smart Cities. IEEE (2018)
17. Howell, S.K., Rezgui, Y., Beach, T., Zhao, W., Terlet, J., Li, H.: Smart water system interoperability: integrating data and analytics for demand optimized management through semantics.
In: ICCCBE, pp. 1–9 (2016)
18. Goel, D., Pahal, N., Jain, P., Chaudhury, S.: An ontology-driven context aware framework for
smart traffic monitoring. In: 2017 IEEE Region 10 Symposium (TENSYMP), pp. 1–5. IEEE
(2017)
19. Weber, M., Akella, R., Lee, E. A.: Service discovery for the connected car with semantic
accessors. In: 2019 IEEE Intelligent Vehicles Symposium, vol. IV, pp. 2417–2422. IEEE
(2019)
20. Syzdykbayev, M., Hajari, H., Karimi, H. A.: An ontology for collaborative navigation among
autonomous cars, drivers, and pedestrians in smart cities. In: 2019 4th International Conference on Smart and Sustainable Technologies (SpliTech), pp. 1–6. IEEE (2019)
21. Barzegar, M., Sadeghi-Niaraki, A., Shakeri, M., Choi, S.M.: A context-aware route finding
algorithm for self-driving tourists using ontology. Electronics 8(7), 808 (2019)
22. Carenini, A., Ugo, D. A., Stefanos, G., Kallehbasti, P., Mehdi, M., Rossi, M. G., Riccardo, S.:
ST4RT–semantic transformations for rail transportation. In: Transport Research Arena TRA
2018, pp. 1–10 (2018)
23. Pace, P., Aloi, G., Caliciuri, G., Gravina, R., Savaglio, C., Fortino, G., Corona, M.: INTERHealth: an interoperable IoT solution for active and assisted living healthcare services. In:
2019 IEEE 5th World Forum on Internet of Things (WF-IoT), pp. 81–86. IEEE (2019)
24. Goossen, W.T.: Detailed clinical models: representing knowledge, data and semantics in
healthcare information technology. Healthc. Inf. Res. 20(3), 163–172 (2014)
25. Adel, E., El-Sappagh, S., Barakat, S., Elmogy, M.: A unified fuzzy ontology for distributed
electronic health record semantic interoperability. In: U-Healthcare Monitoring Systems, pp.
353–395. Academic Press (2019)
26. Kontopoulos, E., Mitzias, P., Moßgraber, J., Hertweck, P., van der Schaaf, H., Hilbring, D.,
Lombardo, F., Norbiato, D., Ferri, M., Karakostas, A., Vrochidis, S.: Ontology-based representation of crisis management procedures for climate events. In: ISCRAM (2018)
27. Chatzimichail, A., Chatzigeorgiou, C., Tsanousa, A., Ntioudis, D., Meditskos, G., Andritsopoulos, F., Karaberi, C., Kasnesis, P., Kogias, D.G., Gorgogetas, G., Vrochidis, S.: Internet
of things infrastructure for security and safety in public places. Information 10(11), 333 (2019)
28. Bagschik, G., Menzel, T., Maurer, M.: Ontology based scene creation for the development
of automated vehicles. In: 2018 IEEE Intelligent Vehicles Symposium (IV), pp. 1813–1820.
IEEE (2018)
29. Bista, H., Yen, I. L., Bastani, F., Mueller, M., Moore, D.: Semantic-based information sharing
in vehicular networks. In: 2018 IEEE International Conference on Web Services (ICWS), pp.
82–289. IEEE (2018)
30. Xing, X., Zhong, B., Luo, H., Li, H., Wu, H.: Ontology for safety risk identification in metro
construction. Comput. Ind. 109, 14–30 (2019)
31. Durbha, S.S., King, R.L.: Semantics-enabled framework for knowledge discovery from Earth
observation data archives. IEEE Trans. Geosci. Remote Sens. 43(11), 2563–2572 (2005)
32. Audebert, N., Le Saux, B., Lefèvre, S.: Joint learning from earth observation and openstreetmap data to get faster better semantic maps. In: Proceedings of the IEEE Conference on
Computer Vision and Pattern Recognition Workshops, pp. 67–75 (2017)
33. Audebert, N., Le Saux, B., Lefèvrey, S. Fusion of heterogeneous data in convolutional networks for urban semantic labeling. In: 2017 Joint Urban Remote Sensing Event (JURSE), pp.
1–4. IEEE (2017)
27
15. Van de Vyvere, B., D’haene, K., D’haene, K., Colpaert, P., Verborgh, R.: Predicting phase
durations of traffic lights using live open traffic lights data. In: Joint Proceedings of the
1st International Workshop On Semantics For Transport and the 1st International Workshop
on Approaches for Making Data Interoperable co-located with 15th Semantics Conference
(SEMANTiCS 2019), pp. 1–7 (2019)
16. Choi, C., Esposito, C., Wang, H., Liu, Z., Choi, J.: Intelligent Power Equipment Management
Based on Distributed Context-Aware Inference in Smart Cities. IEEE (2018)
17. Howell, S.K., Rezgui, Y., Beach, T., Zhao, W., Terlet, J., Li, H.: Smart water system interoperability: integrating data and analytics for demand optimized management through semantics.
In: ICCCBE, pp. 1–9 (2016)
18. Goel, D., Pahal, N., Jain, P., Chaudhury, S.: An ontology-driven context aware framework for
smart traffic monitoring. In: 2017 IEEE Region 10 Symposium (TENSYMP), pp. 1–5. IEEE
(2017)
19. Weber, M., Akella, R., Lee, E. A.: Service discovery for the connected car with semantic
accessors. In: 2019 IEEE Intelligent Vehicles Symposium, vol. IV, pp. 2417–2422. IEEE
(2019)
20. Syzdykbayev, M., Hajari, H., Karimi, H. A.: An ontology for collaborative navigation among
autonomous cars, drivers, and pedestrians in smart cities. In: 2019 4th International Conference on Smart and Sustainable Technologies (SpliTech), pp. 1–6. IEEE (2019)
21. Barzegar, M., Sadeghi-Niaraki, A., Shakeri, M., Choi, S.M.: A context-aware route finding
algorithm for self-driving tourists using ontology. Electronics 8(7), 808 (2019)
22. Carenini, A., Ugo, D. A., Stefanos, G., Kallehbasti, P., Mehdi, M., Rossi, M. G., Riccardo, S.:
ST4RT–semantic transformations for rail transportation. In: Transport Research Arena TRA
2018, pp. 1–10 (2018)
23. Pace, P., Aloi, G., Caliciuri, G., Gravina, R., Savaglio, C., Fortino, G., Corona, M.: INTERHealth: an interoperable IoT solution for active and assisted living healthcare services. In:
2019 IEEE 5th World Forum on Internet of Things (WF-IoT), pp. 81–86. IEEE (2019)
24. Goossen, W.T.: Detailed clinical models: representing knowledge, data and semantics in
healthcare information technology. Healthc. Inf. Res. 20(3), 163–172 (2014)
25. Adel, E., El-Sappagh, S., Barakat, S., Elmogy, M.: A unified fuzzy ontology for distributed
electronic health record semantic interoperability. In: U-Healthcare Monitoring Systems, pp.
353–395. Academic Press (2019)
26. Kontopoulos, E., Mitzias, P., Moßgraber, J., Hertweck, P., van der Schaaf, H., Hilbring, D.,
Lombardo, F., Norbiato, D., Ferri, M., Karakostas, A., Vrochidis, S.: Ontology-based representation of crisis management procedures for climate events. In: ISCRAM (2018)
27. Chatzimichail, A., Chatzigeorgiou, C., Tsanousa, A., Ntioudis, D., Meditskos, G., Andritsopoulos, F., Karaberi, C., Kasnesis, P., Kogias, D.G., Gorgogetas, G., Vrochidis, S.: Internet
of things infrastructure for security and safety in public places. Information 10(11), 333 (2019)
28. Bagschik, G., Menzel, T., Maurer, M.: Ontology based scene creation for the development
of automated vehicles. In: 2018 IEEE Intelligent Vehicles Symposium (IV), pp. 1813–1820.
IEEE (2018)
29. Bista, H., Yen, I. L., Bastani, F., Mueller, M., Moore, D.: Semantic-based information sharing
in vehicular networks. In: 2018 IEEE International Conference on Web Services (ICWS), pp.
82–289. IEEE (2018)
30. Xing, X., Zhong, B., Luo, H., Li, H., Wu, H.: Ontology for safety risk identification in metro
construction. Comput. Ind. 109, 14–30 (2019)
31. Durbha, S.S., King, R.L.: Semantics-enabled framework for knowledge discovery from Earth
observation data archives. IEEE Trans. Geosci. Remote Sens. 43(11), 2563–2572 (2005)
32. Audebert, N., Le Saux, B., Lefèvre, S.: Joint learning from earth observation and openstreetmap data to get faster better semantic maps. In: Proceedings of the IEEE Conference on
Computer Vision and Pattern Recognition Workshops, pp. 67–75 (2017)
33. Audebert, N., Le Saux, B., Lefèvrey, S. Fusion of heterogeneous data in convolutional networks for urban semantic labeling. In: 2017 Joint Urban Remote Sensing Event (JURSE), pp.
1–4. IEEE (2017)