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To implement the communications and co-operations among intelligent systems on AIoT, it is necessary to annotate sensor data with the semantic meanings to overcome heterogeneity problem among different sensors, which requires the utilization of sensor ontology. Sensor ontology formally models the knowledge on AIoT by defining the concepts, the properties describing a concept, and the relationships between two concepts. Due to human\u2019s subjectivity, a concept in different sensor ontologies could be defined with different terminologies and contexts, yielding the ontology heterogeneity problem. Thus, before using these ontologies, it is necessary to integrate their knowledge by finding the correspondences between their concepts, i.e., the so-called ontology matching. In this work, a novel sensor ontology matching framework is proposed, which aggregates three kinds of Concept Similarity Measures (CSMs) and an alignment extraction approach to determine the sensor ontology alignment. To ensure the quality of the alignments, we further propose a compact Particle Swarm Optimization algorithm (cPSO) to optimize the aggregating weights for the CSMs and a threshold for filtering the alignment. The experiment utilizes the Ontology Alignment Evaluation Initiative (OAEI)\u2019s conference track and two pairs of real sensor ontologies to test cPSO\u2019s performance. The experimental results show that the quality of the alignments obtained by cPSO statistically outperforms other state-of-the-art sensor ontology matching techniques.<\/jats:p>","DOI":"10.1155\/2020\/8815001","type":"journal-article","created":{"date-parts":[[2020,7,25]],"date-time":"2020-07-25T23:31:21Z","timestamp":1595719881000},"page":"1-8","source":"Crossref","is-referenced-by-count":13,"title":["Semantic Integration of Sensor Knowledge on Artificial Internet of Things"],"prefix":"10.1155","volume":"2020","author":[{"given":"Yikun","family":"Huang","sequence":"first","affiliation":[{"name":"Department of Information Technology, Concord University College Fujian Normal University, Fuzhou\/350118, 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":"Fujian Key Lab for Automotive Electronics and Electric Drive, Fujian 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