{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,19]],"date-time":"2025-03-19T12:04:55Z","timestamp":1742385895418,"version":"3.37.3"},"reference-count":50,"publisher":"Wiley","license":[{"start":{"date-parts":[[2021,5,26]],"date-time":"2021-05-26T00:00:00Z","timestamp":1621987200000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100003392","name":"Natural Science Foundation of Fujian Province","doi-asserted-by":"publisher","award":["2020J01875","61773415","61801527","61103143"],"award-info":[{"award-number":["2020J01875","61773415","61801527","61103143"]}],"id":[{"id":"10.13039\/501100003392","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["2020J01875","61773415","61801527","61103143"],"award-info":[{"award-number":["2020J01875","61773415","61801527","61103143"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Security and Communication Networks"],"published-print":{"date-parts":[[2021,5,26]]},"abstract":"<jats:p>Aiming at enhancing the communication and information security between the next generation of Industrial Internet of Things (Nx-IIoT) sensor networks, it is critical to aggregate heterogeneous sensor data in the sensor ontologies by establishing semantic connections in diverse sensor ontologies. Sensor ontology matching technology is devoted to determining heterogeneous sensor concept pairs in two distinct sensor ontologies, which is an effective method of addressing the heterogeneity problem. The existing matching techniques neglect the relationships among different entity mapping, which makes them unable to make sure of the alignment\u2019s high quality. To get rid of this shortcoming, in this work, a sensor ontology extraction method technology using Fuzzy Debate Mechanism (FDM) is proposed to aggregate the heterogeneous sensor data, which determines the final sensor concept correspondences by carrying out a debating process among different matchers. More than ever, a fuzzy similarity metric is presented to effectively measure two entities\u2019 similarity values by membership function. It first uses the fuzzy membership function to model two entities\u2019 similarity in vector space and then calculate their semantic distance with the cosine function. The testing cases from Bibliographic data which is furnished by the Ontology Alignment Evaluation Initiative (OAEI) and six sensor ontology matching tasks are used to evaluate the performance of our scheme in the experiment. The robustness and effectiveness of the proposed method are proved by comparing it with the advanced ontology matching techniques.<\/jats:p>","DOI":"10.1155\/2021\/2878684","type":"journal-article","created":{"date-parts":[[2021,5,27]],"date-time":"2021-05-27T21:54:28Z","timestamp":1622152468000},"page":"1-12","source":"Crossref","is-referenced-by-count":5,"title":["Aggregating Heterogeneous Sensor Ontologies with Fuzzy Debate Mechanism"],"prefix":"10.1155","volume":"2021","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3008-8782","authenticated-orcid":true,"given":"Xingsi","family":"Xue","sequence":"first","affiliation":[{"name":"Fujian Provincial Key Laboratory of Big Data Mining and Applications, Fujian University of Technology, Fuzhou, Fujian, 350118, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1178-6160","authenticated-orcid":true,"given":"Xiaojing","family":"Wu","sequence":"additional","affiliation":[{"name":"Fujian Provincial Key Laboratory of Big Data Mining and Applications, Fujian University of Technology, Fuzhou, Fujian, 350118, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jie","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Yulin Normal University, Yulin, Guanxi, 537000, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8109-1033","authenticated-orcid":true,"given":"Lingyu","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Computer Science and Mathematics, Fujian University of Technology, Fuzhou, Fujian, 350118, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7192-226X","authenticated-orcid":true,"given":"Hai","family":"Zhu","sequence":"additional","affiliation":[{"name":"School of Network Engineering, Zhoukou Normal University, Zhoukou, Henan, 466001, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guojun","family":"Mao","sequence":"additional","affiliation":[{"name":"Fujian Provincial Key Laboratory of Big Data Mining and Applications, Fujian University of Technology, Fuzhou, Fujian, 350118, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","reference":[{"key":"1","doi-asserted-by":"publisher","DOI":"10.1109\/tevc.2020.2985672"},{"key":"2","doi-asserted-by":"publisher","DOI":"10.3390\/math8030333"},{"key":"3","doi-asserted-by":"publisher","DOI":"10.1002\/ett.4000"},{"key":"4","doi-asserted-by":"publisher","DOI":"10.1109\/tii.2019.2957130"},{"key":"5","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.3032896"},{"key":"6","doi-asserted-by":"publisher","DOI":"10.1007\/s10796-014-9515-4"},{"key":"7","doi-asserted-by":"publisher","DOI":"10.1155\/2021\/6658041"},{"key":"8","doi-asserted-by":"publisher","DOI":"10.1016\/j.compenvurbsys.2015.11.005"},{"key":"9","doi-asserted-by":"publisher","DOI":"10.1109\/access.2017.2749415"},{"key":"10","doi-asserted-by":"publisher","DOI":"10.1016\/j.websem.2012.05.003"},{"key":"11","doi-asserted-by":"publisher","DOI":"10.1016\/j.jnca.2016.08.007"},{"key":"12","doi-asserted-by":"publisher","DOI":"10.1016\/j.websem.2018.06.003"},{"key":"13","doi-asserted-by":"publisher","DOI":"10.4018\/jswis.2012010101"},{"key":"14","doi-asserted-by":"publisher","DOI":"10.1155\/2021\/5574732"},{"issue":"3","key":"15","first-page":"109","article-title":"An automatic biomedical ontology meta-matching technique","volume":"4","author":"X. 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