{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,26]],"date-time":"2026-03-26T16:14:48Z","timestamp":1774541688389,"version":"3.50.1"},"reference-count":115,"publisher":"Maximum Academic Press","license":[{"start":{"date-parts":[[2019,11,22]],"date-time":"2019-11-22T00:00:00Z","timestamp":1574380800000},"content-version":"unspecified","delay-in-days":325,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["The Knowledge Engineering Review"],"published-print":{"date-parts":[[2019]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>The current fourth industrial revolution, or \u2018Industry 4.0\u2019 (I4.0), is driven by digital data, connectivity, and cyber systems, and it has the potential to create impressive\/new business opportunities. With the arrival of I4.0, the scenario of various intelligent systems interacting reliably and securely with each other becomes a reality which technical systems need to address. One major aspect of I4.0 is to adopt a coherent approach for the semantic communication in between multiple intelligent systems, which include human and artificial (software or hardware) agents. For this purpose, ontologies can provide the solution by formalizing the smart manufacturing knowledge in an interoperable way. Hence, this paper presents the few existing ontologies for I4.0, along with the current state of the standardization effort in the factory 4.0 domain and examples of real-world scenarios for I4.0.<\/jats:p>","DOI":"10.1017\/s0269888919000109","type":"journal-article","created":{"date-parts":[[2019,11,22]],"date-time":"2019-11-22T04:30:44Z","timestamp":1574397044000},"source":"Crossref","is-referenced-by-count":78,"title":["Ontologies for Industry 4.0"],"prefix":"10.48130","volume":"34","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6845-3362","authenticated-orcid":false,"given":"Veera Ragavan","family":"Sampath Kumar","sequence":"first","affiliation":[]},{"given":"Alaa","family":"Khamis","sequence":"additional","affiliation":[]},{"given":"Sandro","family":"Fiorini","sequence":"additional","affiliation":[]},{"given":"Joel Lu\u00eds","family":"Carbonera","sequence":"additional","affiliation":[]},{"given":"Alberto","family":"Olivares Alarcos","sequence":"additional","affiliation":[]},{"given":"Maki","family":"Habib","sequence":"additional","affiliation":[]},{"given":"Paulo","family":"Goncalves","sequence":"additional","affiliation":[]},{"given":"Howard","family":"Li","sequence":"additional","affiliation":[]},{"given":"Joanna Isabelle","family":"Olszewska","sequence":"additional","affiliation":[]}],"member":"27968","published-online":{"date-parts":[[2019,11,22]]},"reference":[{"key":"S0269888919000109_ref115","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2014.2305641"},{"key":"S0269888919000109_ref113","unstructured":"Zhang, J. , Ahmad, B. , Vera, D. & Harrison, R. 2018. 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