{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,13]],"date-time":"2026-01-13T21:15:57Z","timestamp":1768338957778,"version":"3.49.0"},"reference-count":42,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2024]]},"DOI":"10.1109\/access.2023.3347586","type":"journal-article","created":{"date-parts":[[2023,12,26]],"date-time":"2023-12-26T19:30:14Z","timestamp":1703619014000},"page":"1341-1359","source":"Crossref","is-referenced-by-count":1,"title":["S-ID: Implementing Intelligent Interoperability for Heterogeneous IoT Identifiers Through a Semantic-Based Framework"],"prefix":"10.1109","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2618-121X","authenticated-orcid":false,"given":"Shujuan","family":"You","sequence":"first","affiliation":[{"name":"China Mobile Research Institute, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8786-2962","authenticated-orcid":false,"given":"Xiaotao","family":"Li","sequence":"additional","affiliation":[{"name":"China Mobile Research Institute, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-4246-273X","authenticated-orcid":false,"given":"Hang","family":"Yu","sequence":"additional","affiliation":[{"name":"China Mobile Research Institute, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1663-2729","authenticated-orcid":false,"given":"Wai","family":"Chen","sequence":"additional","affiliation":[{"name":"China Mobile Research Institute, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/IAECST54258.2021.9695753"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/WISA.2014.10"},{"key":"ref3","volume-title":"GS1 Rel 9.0. GS1 General Specifications Release 9.0"},{"key":"ref4","volume-title":"GS1 Rel 8.0. GS1 System Architecture Document Release 8.0"},{"key":"ref5","volume-title":"The EPCglobal Architecture Framework Version 1.7","author":"Traub","year":"2015"},{"issue":"1","key":"ref6","first-page":"24","article-title":"Integrated architecture for networking and industrial Internet identity","volume":"18","author":"Lu","year":"2020","journal-title":"ZTE Commun."},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2020.3045136"},{"key":"ref8","volume-title":"Object Identifiers (OID) and Registration Authorities","author":"Dubuisson","year":"2010"},{"key":"ref9","first-page":"257","article-title":"The handle system and its application to RFID and the Internet of Things","author":"Lyons","year":"2014","journal-title":"RFIDs, Near-Field Communications, and Mobile Payments: A Guide for Lawyers"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2015.2438074"},{"key":"ref11","first-page":"304","article-title":"An OID-based identifier framework supporting the interoperability of heterogeneous identifiers","volume-title":"Proc. 14th Int. Conf. Adv. Commun. Technol. (ICACT)","author":"Jung"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/COMPSAC.2018.00084"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.3390\/s19061433"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/iThings\/CPSCom.2011.66"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3137526"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.jksuci.2022.05.003"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/3597641"},{"key":"ref18","volume-title":"TS-0012 oneM2M Base Ontology","year":"2016"},{"key":"ref19","doi-asserted-by":"crossref","DOI":"10.62973\/16-079","volume-title":"Semantic Sensor Network Ontology","author":"Haller","year":"2017"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-49004-5_36"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/s00779-017-1010-8"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-56877-5_2"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/WF-IoT.2016.7845470"},{"key":"ref24","first-page":"85","article-title":"Falcon-AO: Aligning ontologies with falcon","volume-title":"Proc. Workshop Integrating Ontologies","author":"Jian"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/W18-2306"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i5.20510"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ICIS.2016.7550778"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3013694"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.23919\/WIOPT.2018.8362879"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1145\/1013367.1013381"},{"key":"ref31","volume-title":"SPARQL 1.1 Query Language W3C Recommendation","author":"Harris","year":"2013"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2017.7966039"},{"key":"ref33","first-page":"1","article-title":"Data augmentation for time series classification using convolutional neural network","volume-title":"Proc. ECML\/PKDD Workshop Adv. Anal. Learn. Temporal Data","author":"Guennec"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2017.2779939"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1007\/s10618-022-00844-1"},{"key":"ref37","first-page":"1","article-title":"Omni-scale CNNs: A simple and effective kernel size configuration for time series classification","volume-title":"Proc. Int. Conf. Learn. Represent. (ICLR)","author":"Tang"},{"key":"ref38","first-page":"1","article-title":"Adam: A method for stochastic optimization","volume-title":"Proc. Int. Conf. Learn. Represent. (ICLR)","author":"Kingma"},{"issue":"2","key":"ref39","first-page":"1","article-title":"ImageNet classification with deep convolutional neural networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"25","author":"Krizhevsky"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"ref41","first-page":"1","article-title":"Very deep convolutional networks for large-scale image recognition","volume-title":"Proc. Int. Conf. Learn. Represent. (ICLR)","author":"Simonyan"},{"key":"ref42","first-page":"3939","article-title":"Imaging time-series to improve classification and imputation","volume-title":"Proc. 24th Int. Conf. Artif. Intell.","author":"Wang"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/10380310\/10374351.pdf?arnumber=10374351","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,6]],"date-time":"2024-11-06T21:52:26Z","timestamp":1730929946000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10374351\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":42,"URL":"https:\/\/doi.org\/10.1109\/access.2023.3347586","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]}}}