{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,4,10]],"date-time":"2025-04-10T05:47:57Z","timestamp":1744264077428,"version":"3.37.3"},"reference-count":40,"publisher":"Wiley","license":[{"start":{"date-parts":[[2021,3,23]],"date-time":"2021-03-23T00:00:00Z","timestamp":1616457600000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61801527","61103143","2020J01875"],"award-info":[{"award-number":["61801527","61103143","2020J01875"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003392","name":"Natural Science Foundation of Fujian Province","doi-asserted-by":"publisher","award":["61801527","61103143","2020J01875"],"award-info":[{"award-number":["61801527","61103143","2020J01875"]}],"id":[{"id":"10.13039\/501100003392","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Mobile Information Systems"],"published-print":{"date-parts":[[2021,3,23]]},"abstract":"<jats:p>In recent years, innovative positioning and mobile communication techniques have been developing to achieve Location-Based Services (LBSs). With the help of sensors, LBS is able to detect and sense the information from the outside world to provide location-related services. To implement the intelligent LBS, it is necessary to develop the Semantic Sensor Web (SSW), which makes use of the sensor ontologies to implement the sensor data interoperability, information sharing, and knowledge fusion among intelligence systems. Due to the subjectivity of sensor ontology engineers, the heterogeneity problem is introduced, which hampers the communications among these sensor ontologies. To address this problem, sensor ontology matching is introduced to establish the corresponding relationship between different sensor terms. Among all ontology matching technologies, Particle Swarm Optimization (PSO) can represent a contributing method to deal with the low-quality ontology alignment problem. For the purpose of further enhancing the quality of matching results, in our work, sensor ontology matching is modeled as the meta-matching problem firstly, and then based on this model, aiming at various similarity measures, a Simulated Annealing PSO (SAPSO) is proposed to optimize their aggregation weights and the threshold. In particular, the approximate evaluation metrics for evaluating quality of alignment without reference are proposed, and a Simulated Annealing (SA) strategy is applied to PSO\u2019s evolving process, which is able to help the algorithm avoid the local optima and enhance the quality of solution. The well-known Ontology Alignment Evaluation Initiative\u2019s benchmark (OAEI\u2019s benchmark) and three real sensor ontologies are used to verify the effectiveness of SAPSO. The experimental results show that SAPSO is able to effectively match the sensor ontologies.<\/jats:p>","DOI":"10.1155\/2021\/5510055","type":"journal-article","created":{"date-parts":[[2021,3,24]],"date-time":"2021-03-24T21:50:06Z","timestamp":1616622606000},"page":"1-11","source":"Crossref","is-referenced-by-count":7,"title":["Matching Sensor Ontologies with Simulated Annealing Particle Swarm Optimization"],"prefix":"10.1155","volume":"2021","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7192-226X","authenticated-orcid":true,"given":"Hai","family":"Zhu","sequence":"first","affiliation":[{"name":"School of Network Engineering, Zhoukou Normal University, Zhoukou, Henan 466001, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3008-8782","authenticated-orcid":true,"given":"Xingsi","family":"Xue","sequence":"additional","affiliation":[{"name":"Intelligent Information Processing Research Center, Fujian University of Technology, Fuzhou, Fujian 350118, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Aifeng","family":"Geng","sequence":"additional","affiliation":[{"name":"College of Electrical and Power Engineering, Taiyuan University of Technology, Taiyuan 030024, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0738-1737","authenticated-orcid":true,"given":"He","family":"Ren","sequence":"additional","affiliation":[{"name":"College of Electrical and Power Engineering, Taiyuan University of Technology, Taiyuan 030024, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","reference":[{"key":"1","doi-asserted-by":"publisher","DOI":"10.3390\/s110302652"},{"first-page":"637","article-title":"Building a sensor ontology: a practical approach leveraging ISO and ogc models","author":"D. J. Russomanno","key":"2"},{"key":"3","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-10601-9_6"},{"key":"4","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2020.106548"},{"key":"5","doi-asserted-by":"publisher","DOI":"10.1016\/j.swevo.2019.03.007"},{"key":"6","doi-asserted-by":"publisher","DOI":"10.1109\/tkde.2015.2475755"},{"key":"7","doi-asserted-by":"publisher","DOI":"10.1007\/s12293-018-0255-8"},{"key":"8","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2017.09.017"},{"key":"9","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2018.08.003"},{"key":"10","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-020-01443-6"},{"first-page":"39","article-title":"A new optimizer using particle swarm theory","author":"R. Eberhart","key":"11"},{"key":"12","doi-asserted-by":"publisher","DOI":"10.1155\/2020\/4716286"},{"key":"13","doi-asserted-by":"publisher","DOI":"10.3233\/jifs-179650"},{"key":"14","doi-asserted-by":"publisher","DOI":"10.1142\/s0218001417590042"},{"key":"15","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2020.106443"},{"key":"16","first-page":"766","article-title":"Using artifificial bee Colony algorithm for optimizing ontology alignment","volume":"8","author":"Y. He","year":"2017","journal-title":"Journal of Information Hiding and Multimedia Signal Processing"},{"key":"17","doi-asserted-by":"publisher","DOI":"10.3390\/s20072056"},{"volume-title":"Evolutionary Algorithm Based Ontology Matching Technique","year":"2018","author":"X. Xue","key":"18"},{"issue":"1","key":"19","first-page":"75","article-title":"An overview on evolutionary algorithm based ontology matching","volume":"9","author":"X. Xue","year":"2018","journal-title":"Journal of Information Hiding and Multimedia Signal Processing"},{"key":"20","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2010.08.013"},{"issue":"1","key":"21","first-page":"15","article-title":"Optimizing ontology alignment in vector space","volume":"21","author":"S. Chu","year":"2020","journal-title":"Journal of Internet Technology"},{"key":"22","doi-asserted-by":"publisher","DOI":"10.1109\/mic.2008.87"},{"key":"23","doi-asserted-by":"publisher","DOI":"10.1007\/s00779-017-1010-8"},{"key":"24","doi-asserted-by":"publisher","DOI":"10.1155\/2020\/6666228"},{"key":"25","article-title":"Integrating sensor ontologies with global and local alignment extractions","volume":"2021","author":"X. Xue","year":"2021","journal-title":"Wireless Communications and Mobile Computing"},{"key":"26","doi-asserted-by":"publisher","DOI":"10.1155\/2021\/5574732"},{"key":"27","doi-asserted-by":"publisher","DOI":"10.1109\/tkde.2009.154"},{"key":"28","doi-asserted-by":"publisher","DOI":"10.1007\/11574620_45"},{"first-page":"133","article-title":"Verb semantics and lexical selection","author":"Z. Wu","key":"29"},{"key":"30","doi-asserted-by":"publisher","DOI":"10.1145\/219717.219748"},{"key":"31","doi-asserted-by":"publisher","DOI":"10.1016\/j.artint.2015.03.001"},{"first-page":"1942","article-title":"Particle swarm optimization","author":"J. Kennedy","key":"32"},{"key":"33","doi-asserted-by":"publisher","DOI":"10.1016\/j.websem.2018.06.003"},{"author":"F. Daniel","key":"34","article-title":"OAEI 2016 results of AML"},{"author":"E. Jimenez-Ruiz","key":"35","article-title":"LogMap family participation in the OAEI 2016"},{"author":"W. Eddine-Djeddi","key":"36","article-title":"XMap: results for OAEI 2016"},{"issue":"1","key":"37","doi-asserted-by":"crossref","first-page":"9","DOI":"10.3233\/SW-180320","article-title":"The modular SSN ontology: a joint W3C and OGC standard specifying the semantics of sensors, observations, sampling, and actuation","volume":"10","author":"A. Haller","year":"2019","journal-title":"Semantic Web"},{"key":"38","doi-asserted-by":"publisher","DOI":"10.1587\/transfun.2019tsl0001"},{"key":"39","doi-asserted-by":"publisher","DOI":"10.1587\/transinf.2018edp7299"},{"key":"40","doi-asserted-by":"publisher","DOI":"10.1109\/jiot.2018.2863555"}],"container-title":["Mobile Information Systems"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/misy\/2021\/5510055.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/misy\/2021\/5510055.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/misy\/2021\/5510055.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,3,24]],"date-time":"2021-03-24T21:50:14Z","timestamp":1616622614000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.hindawi.com\/journals\/misy\/2021\/5510055\/"}},"subtitle":[],"editor":[{"given":"Hsu-Yang","family":"Kung","sequence":"additional","affiliation":[],"role":[{"role":"editor","vocabulary":"crossref"}]}],"short-title":[],"issued":{"date-parts":[[2021,3,23]]},"references-count":40,"alternative-id":["5510055","5510055"],"URL":"https:\/\/doi.org\/10.1155\/2021\/5510055","relation":{},"ISSN":["1875-905X","1574-017X"],"issn-type":[{"type":"electronic","value":"1875-905X"},{"type":"print","value":"1574-017X"}],"subject":[],"published":{"date-parts":[[2021,3,23]]}}}