IoTRec: The IoT Recommender for Smart Parking System
- Submitting institution
-
Liverpool John Moores University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 1999
- Type
- D - Journal article
- DOI
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10.1109/TETC.2020.3014722
- Title of journal
- IEEE Transactions on Emerging Topics in Computing
- Article number
- -
- First page
- 1
- Volume
- 0
- Issue
- -
- ISSN
- 2168-6750
- Open access status
- Compliant
- Month of publication
- August
- Year of publication
- 2020
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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7
- Research group(s)
-
-
- Citation count
- -
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- A GDPR compliant IoT recommender (IoTRec) system was developed by the H2020 EU-KR Wise-IoT project (723156). FIWARE data models made by Wise-IoT industry partners (NEC and Telefonica) were used for semantic data modelling. The Rich Parking application in this paper was tested and evaluated as a prototype by the citizen of Santander, Spain (Luis Sanchez, Associate Professor, lsanchez@tlmat.unican.es). This solution was successfully demonstrated with interoperability testing for roaming services between EU and Korea. The key outcomes have been used to get grants from national funding bodies (e.g., SERI, IITP, MINECO) for developing enhanced technical enablers.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
