@inproceedings{, author = {Bnouhanna, Nisrine and C. Sofia, Rute and Pretschner, Alexander}, title = {IoT Thing To Service Semantic Matching}, booktitle = {inProc IEEE Percom 2021 (Best PhD paper award)}, publisher = {2021 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)}, year = {2021}, month = mar, abstract = {We propose an automated IoT data source (Thing) to service semantic matching mechanism that selects an optimal set of available IoT data sources in order to satisfy service requirements and needs. The main motivation is to provide a better use of data captured via IoT data sources. To achieve this goal, we propose a three-fold approach: (i) modelling service requirements based on existing service descriptions; (ii) automating the selection of an optimal set of Things that best meet the service requirements; (iii) selecting data processing services that provide additional service requirements.}, howpublished = {IEEE Percom 2021, Best PhD paper award}, isbn = {978-1-6654-4724-9}, doi = {10.1109/PerComWorkshops51409.2021.9431128}, keywords = {IIoT, semantic technologies, matchmaking}, url = {https://www.researchgate.net/publication/349110311_IoT_Thing_To_Service_Semantic_Matching}, }