{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T10:07:21Z","timestamp":1767262041946,"version":"3.44.0"},"reference-count":45,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2021,9,1]],"date-time":"2021-09-01T00:00:00Z","timestamp":1630454400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2021,9,1]],"date-time":"2021-09-01T00:00:00Z","timestamp":1630454400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2021,9,1]],"date-time":"2021-09-01T00:00:00Z","timestamp":1630454400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2021,9,1]],"date-time":"2021-09-01T00:00:00Z","timestamp":1630454400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2021,9,1]],"date-time":"2021-09-01T00:00:00Z","timestamp":1630454400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2021,9,1]],"date-time":"2021-09-01T00:00:00Z","timestamp":1630454400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,9,1]],"date-time":"2021-09-01T00:00:00Z","timestamp":1630454400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Data & Knowledge Engineering"],"published-print":{"date-parts":[[2021,9]]},"DOI":"10.1016\/j.datak.2021.101923","type":"journal-article","created":{"date-parts":[[2021,8,25]],"date-time":"2021-08-25T11:10:17Z","timestamp":1629889817000},"page":"101923","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":18,"special_numbering":"C","title":["Knowledge extraction using semantic similarity of concepts from Web of Things knowledge bases"],"prefix":"10.1016","volume":"135","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7560-5846","authenticated-orcid":false,"given":"Vamsee","family":"Muppavarapu","sequence":"first","affiliation":[]},{"given":"Gowtham","family":"Ramesh","sequence":"additional","affiliation":[]},{"given":"Amelie","family":"Gyrard","sequence":"additional","affiliation":[]},{"given":"Mahda","family":"Noura","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"year":"2020","series-title":"IDC - The growth in connected IoT devices","key":"10.1016\/j.datak.2021.101923_b1"},{"year":"2020","series-title":"UNIFY-IoT project \u2014 H2020 \u2014 CORDIS \u2014 European commission","key":"10.1016\/j.datak.2021.101923_b2"},{"year":"2015","series-title":"The Internet of Things: Mapping the Value beyond the Hype","author":"Manyika","key":"10.1016\/j.datak.2021.101923_b3"},{"key":"10.1016\/j.datak.2021.101923_b4","series-title":"International Conference on Internet of Things as a Service","first-page":"11","article-title":"Interoperability in internet of things infrastructure: classification, challenges and future work","author":"Noura","year":"2017"},{"year":"2020","series-title":"IoT operating systems","key":"10.1016\/j.datak.2021.101923_b5"},{"year":"2020","series-title":"Achieving semantic interoperability using RDF and OWL - v10","key":"10.1016\/j.datak.2021.101923_b6"},{"issue":"3","key":"10.1016\/j.datak.2021.101923_b7","doi-asserted-by":"crossref","first-page":"796","DOI":"10.1007\/s11036-018-1089-9","article-title":"Interoperability in internet of things: Taxonomies and open challenges","volume":"24","author":"Noura","year":"2019","journal-title":"Mob. Netw. Appl."},{"year":"2020","series-title":"W3C web of things at W3C","key":"10.1016\/j.datak.2021.101923_b8"},{"issue":"2\u20133","key":"10.1016\/j.datak.2021.101923_b9","doi-asserted-by":"crossref","first-page":"244","DOI":"10.1504\/IJWGS.2014.060260","article-title":"Semantic web of things: an analysis of the application semantics for the iot moving towards the iot convergence","volume":"10","author":"Jara","year":"2014","journal-title":"Int. J. Web Grid Serv."},{"year":"2020","series-title":"Linked open vocabularies","key":"10.1016\/j.datak.2021.101923_b10"},{"year":"2020","series-title":"Linked open vocabularies for internet of things (LOV4IoT)","key":"10.1016\/j.datak.2021.101923_b11"},{"year":"2018","series-title":"Concept Extraction from the Web of Things Knowledge Bases","author":"Noura","key":"10.1016\/j.datak.2021.101923_b12"},{"year":"2020","series-title":"Schema.org","key":"10.1016\/j.datak.2021.101923_b13"},{"year":"2020","series-title":"Iot.schema.org","key":"10.1016\/j.datak.2021.101923_b14"},{"key":"10.1016\/j.datak.2021.101923_b15","series-title":"IERC: European Research Cluster on the Internet of Things, Tech. Rep","article-title":"Internet of things iot semantic interoperability: Research challenges, best practices, recommendations and next steps","author":"Serrano","year":"2015"},{"key":"10.1016\/j.datak.2021.101923_b16","doi-asserted-by":"crossref","first-page":"25","DOI":"10.1016\/j.websem.2012.05.003","article-title":"The SSN ontology of the W3C semantic sensor network incubator group","volume":"17","author":"Compton","year":"2012","journal-title":"J. Web Semant."},{"key":"10.1016\/j.datak.2021.101923_b17","series-title":"International Workshop Formal Ontologies Meet Industries","first-page":"100","article-title":"Created in close interaction with the industry: the smart appliances reference (SAREF) ontology","author":"Daniele","year":"2015"},{"year":"2020","series-title":"SAREF4BLDG ontology","key":"10.1016\/j.datak.2021.101923_b18"},{"year":"2020","series-title":"SAREF4ENER, SAREF for energy ontology","key":"10.1016\/j.datak.2021.101923_b19"},{"year":"2015","series-title":"Designing Cross-Domain Semantic Web of Things Applications","author":"Gyrard","key":"10.1016\/j.datak.2021.101923_b20"},{"issue":"11","key":"10.1016\/j.datak.2021.101923_b21","doi-asserted-by":"crossref","first-page":"40","DOI":"10.1109\/MCOM.2011.6069708","article-title":"Spitfire: toward a semantic web of things","volume":"49","author":"Pfisterer","year":"2011","journal-title":"IEEE Commun. Mag."},{"year":"2020","series-title":"Vital-iot.eu - men\u2019s health and potency","key":"10.1016\/j.datak.2021.101923_b22"},{"year":"2020","series-title":"OpenIoT - open source cloud solution for the internet of things","key":"10.1016\/j.datak.2021.101923_b23"},{"year":"2020","series-title":"Fiesta-IOT - federated interoperable semantic IoT testbeds and applications","key":"10.1016\/j.datak.2021.101923_b24"},{"issue":"4","key":"10.1016\/j.datak.2021.101923_b25","doi-asserted-by":"crossref","first-page":"36","DOI":"10.3390\/fi10040036","article-title":"Dynamic linked data: A SPARQL event processing architecture","volume":"10","author":"Roffia","year":"2018","journal-title":"Future Internet"},{"issue":"1","key":"10.1016\/j.datak.2021.101923_b26","doi-asserted-by":"crossref","first-page":"148","DOI":"10.4018\/IJSWIS.2017010109","article-title":"Enabling interoperability in the internet of things: A osgi semantic information broker implementation","volume":"13","author":"D\u2019Elia","year":"2017","journal-title":"Int. J. Semant. Web Inf. Syst. (IJSWIS)"},{"key":"10.1016\/j.datak.2021.101923_b27","series-title":"2016 18th Conference of Open Innovations Association and Seminar on Information Security and Protection of Information Technology, FRUCT-ISPIT","first-page":"370","article-title":"A modular lightweight implementation of the smart-M3 semantic information broker","author":"Viola","year":"2016"},{"issue":"5","key":"10.1016\/j.datak.2021.101923_b28","doi-asserted-by":"crossref","first-page":"8447","DOI":"10.1109\/JIOT.2019.2918327","article-title":"Automatic knowledge extraction to build semantic web of things applications","volume":"6","author":"Noura","year":"2019","journal-title":"IEEE Internet Things J."},{"key":"10.1016\/j.datak.2021.101923_b29","doi-asserted-by":"crossref","first-page":"141","DOI":"10.1613\/jair.2934","article-title":"From frequency to meaning: Vector space models of semantics","volume":"37","author":"Turney","year":"2010","journal-title":"J. Artificial Intelligence Res."},{"issue":"1","key":"10.1016\/j.datak.2021.101923_b30","doi-asserted-by":"crossref","first-page":"72","DOI":"10.1109\/TKDE.2016.2610428","article-title":"Computing semantic similarity of concepts in knowledge graphs","volume":"29","author":"Zhu","year":"2016","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"10.1016\/j.datak.2021.101923_b31","unstructured":"L. Daniele, SAREF4ENER: An Extension of SAREF for the Energy Domain Created in Collaboration with Energy@ Home and EEBus Associations, Technical Report."},{"key":"10.1016\/j.datak.2021.101923_b32","doi-asserted-by":"crossref","unstructured":"D. Bonino, F. Corno, DogOnt: Ontology Modeling for Intelligent Domotic Environments, chapter The Semantic Web-ISWC 2008: 7th International Semantic Web Conference, ISWC 2008, Karlsruhe, Germany, October 26-30, in: Proceedings, 2008, pp. 790\u2013803.","DOI":"10.1007\/978-3-540-88564-1_51"},{"key":"10.1016\/j.datak.2021.101923_b33","series-title":"International Internet of Things Summit","first-page":"3","article-title":"Poweront: An ontology-based approach for power consumption estimation in smart homes","author":"Bonino","year":"2014"},{"issue":"1","key":"10.1016\/j.datak.2021.101923_b34","doi-asserted-by":"crossref","DOI":"10.1155\/2011\/104617","article-title":"Thinkhome energy efficiency in future smart homes","volume":"2011","author":"Reinisch","year":"2011","journal-title":"EURASIP J. Embed. Syst."},{"key":"10.1016\/j.datak.2021.101923_b35","doi-asserted-by":"crossref","unstructured":"T.G. Stavropoulos, D. Vrakas, D. Vlachava, N. Bassiliades, BOnSAI: a smart building ontology for ambient intelligence, in: Proceedings of the 2nd International Conference on Web Intelligence, Mining and Semantics, 2012, pp. 1\u201312.","DOI":"10.1145\/2254129.2254166"},{"year":"2020","series-title":"SEAS - SEAS ontology","key":"10.1016\/j.datak.2021.101923_b36"},{"key":"10.1016\/j.datak.2021.101923_b37","series-title":"Interoperability and Open-Source Solutions for the Internet of Things","first-page":"13","article-title":"Openiot: Open source internet-of-things in the cloud","author":"Soldatos","year":"2015"},{"issue":"3","key":"10.1016\/j.datak.2021.101923_b38","doi-asserted-by":"crossref","first-page":"20","DOI":"10.1109\/MWC.2014.6845045","article-title":"Toward a standardized common M2M service layer platform: Introduction to oneM2M","volume":"21","author":"Swetina","year":"2014","journal-title":"IEEE Wirel. Commun."},{"key":"10.1016\/j.datak.2021.101923_b39","series-title":"European Knowledge Acquisition Workshop","first-page":"561","article-title":"IoT-O, a core-domain IoT ontology to represent connected devices networks","author":"Seydoux","year":"2016"},{"key":"10.1016\/j.datak.2021.101923_b40","series-title":"International Conference on Web Engineering","first-page":"19","article-title":"Semantic discovery in the web of things","author":"Serena","year":"2017"},{"year":"2020","series-title":"M3-lite ontology","key":"10.1016\/j.datak.2021.101923_b41"},{"year":"2014","series-title":"Word2vec Parameter Learning Explained","author":"Rong","key":"10.1016\/j.datak.2021.101923_b42"},{"year":"2020","series-title":"Google code archive","key":"10.1016\/j.datak.2021.101923_b43"},{"key":"10.1016\/j.datak.2021.101923_b44","doi-asserted-by":"crossref","unstructured":"J. Pennington, R. Socher, C.D. Manning, Glove: Global vectors for word representation, in: Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, EMNLP, 2014, pp. 1532\u20131543.","DOI":"10.3115\/v1\/D14-1162"},{"year":"2020","series-title":"Doc to TXT API","key":"10.1016\/j.datak.2021.101923_b45"}],"container-title":["Data & Knowledge Engineering"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0169023X21000501?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0169023X21000501?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,9,30]],"date-time":"2025-09-30T00:18:53Z","timestamp":1759191533000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0169023X21000501"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,9]]},"references-count":45,"alternative-id":["S0169023X21000501"],"URL":"https:\/\/doi.org\/10.1016\/j.datak.2021.101923","relation":{},"ISSN":["0169-023X"],"issn-type":[{"type":"print","value":"0169-023X"}],"subject":[],"published":{"date-parts":[[2021,9]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Knowledge extraction using semantic similarity of concepts from Web of Things knowledge bases","name":"articletitle","label":"Article Title"},{"value":"Data & Knowledge Engineering","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.datak.2021.101923","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2021 Elsevier B.V. All rights reserved.","name":"copyright","label":"Copyright"}],"article-number":"101923"}}