乐胖代购免代理版

{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,8,20]],"date-time":"2024-08-20T11:15:40Z","timestamp":1724152540364},"reference-count":32,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2021,7,1]],"date-time":"2021-07-01T00:00:00Z","timestamp":1625097600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2021,10,22]],"date-time":"2021-10-22T00:00:00Z","timestamp":1634860800000},"content-version":"vor","delay-in-days":113,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100010198","name":"Gobierno de Espa\u00f1a Ministerio de Econom\u00eda y Competitividad","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100010198","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003086","name":"Basque Government","doi-asserted-by":"publisher","award":["BES-2017-081193","IT1330-19"],"id":[{"id":"10.13039\/501100003086","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003329","name":"Ministerio de Econom\u00eda y Competitividad","doi-asserted-by":"publisher","award":["FEDER\/TIN2016-78011-C4-2-R"],"id":[{"id":"10.13039\/501100003329","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Big Data Research"],"published-print":{"date-parts":[[2021,7]]},"DOI":"10.1016\/j.bdr.2021.100222","type":"journal-article","created":{"date-parts":[[2021,4,16]],"date-time":"2021-04-16T13:34:11Z","timestamp":1618580051000},"page":"100222","update-policy":"http:\/\/dx.doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":15,"special_numbering":"C","title":["A Semantic Approach for Big Data Exploration in Industry 4.0"],"prefix":"10.1016","volume":"25","author":[{"given":"Idoia","family":"Berges","sequence":"first","affiliation":[]},{"ORCID":"http:\/\/orcid.org\/0000-0002-7384-9908","authenticated-orcid":false,"given":"V\u00edctor Julio","family":"Ram\u00edrez-Dur\u00e1n","sequence":"additional","affiliation":[]},{"ORCID":"http:\/\/orcid.org\/0000-0001-9567-6326","authenticated-orcid":false,"given":"Arantza","family":"Illarramendi","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"key":"10.1016\/j.bdr.2021.100222_br0010","series-title":"Data Governance in the Digital Age, Centre for International Governance Innovation","article-title":"The economics of data: implications for the data-driven economy","author":"Ciuriak","year":"2018"},{"key":"10.1016\/j.bdr.2021.100222_br0020","series-title":"Towards a thriving data-driven economy","author":"European Commission","year":"2014"},{"issue":"1\u20132","key":"10.1016\/j.bdr.2021.100222_br0030","doi-asserted-by":"crossref","first-page":"508","DOI":"10.1080\/00207543.2017.1351644","article-title":"Smart manufacturing","volume":"56","author":"Kusiak","year":"2018","journal-title":"Int. J. Prod. Res."},{"key":"10.1016\/j.bdr.2021.100222_br0040","doi-asserted-by":"crossref","DOI":"10.1016\/j.bdr.2019.100123","article-title":"Big data exploration, visualization and analytics","volume":"18","author":"Bikakis","year":"2019","journal-title":"Big Data Res."},{"issue":"2","key":"10.1016\/j.bdr.2021.100222_br0050","doi-asserted-by":"crossref","first-page":"419","DOI":"10.1007\/s12650-018-0530-2","article-title":"A survey of visualization for smart manufacturing","volume":"22","author":"Zhou","year":"2019","journal-title":"J. Vis."},{"issue":"2","key":"10.1016\/j.bdr.2021.100222_br0060","doi-asserted-by":"crossref","first-page":"215","DOI":"10.1006\/jvlc.1997.0037","article-title":"Visual query systems for databases: a survey","volume":"8","author":"Catarci","year":"1997","journal-title":"J. Vis. Lang. Comput."},{"issue":"1","key":"10.1016\/j.bdr.2021.100222_br0070","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":"Haller","year":"2019","journal-title":"Semant. Web"},{"issue":"1","key":"10.1016\/j.bdr.2021.100222_br0080","doi-asserted-by":"crossref","first-page":"3","DOI":"10.3233\/SW-2012-0069","article-title":"Ontology of units of measure and related concepts","volume":"4","author":"Rijgersberg","year":"2013","journal-title":"Semant. Web"},{"issue":"6","key":"10.1016\/j.bdr.2021.100222_br0090","doi-asserted-by":"crossref","first-page":"887","DOI":"10.3233\/SW-200376","article-title":"ExtruOnt: an ontology for describing a type of manufacturing machine for Industry 4.0 systems","volume":"11","author":"Ram\u00edrez-Dur\u00e1n","year":"2020","journal-title":"Semant. Web"},{"key":"10.1016\/j.bdr.2021.100222_br0100","series-title":"Advances in Conceptual Modeling \u2013 Proceedings of ER 2019 Workshops FAIR, MREBA, EmpER, MoBiD, OntoCom, and ER Doctoral Symposium Papers","first-page":"125","article-title":"Facilitating data exploration in Industry 4.0","volume":"vol. 11787","author":"Berges","year":"2019"},{"key":"10.1016\/j.bdr.2021.100222_br0110","series-title":"IEEE 14th International Conference on Semantic Computing","first-page":"434","article-title":"Analyzing manufacturing data in a digital control room making use of semantic annotations","author":"Rubart","year":"2020"},{"key":"10.1016\/j.bdr.2021.100222_br0120","series-title":"Eighth International Conference on Ubiquitous and Future Networks","first-page":"114","article-title":"Integrative manufacturing data visualization using calendar view map","author":"Chankhihort","year":"2016"},{"key":"10.1016\/j.bdr.2021.100222_br0130","series-title":"Proceedings of the 9th International Conference on Data Science, Technology and Applications","first-page":"215","article-title":"Real-time visualization of sensor data in smart manufacturing using lambda architecture","author":"Iftikhar","year":"2020"},{"key":"10.1016\/j.bdr.2021.100222_br0140","author":"Lloret-Gazo"},{"key":"10.1016\/j.bdr.2021.100222_br0150","doi-asserted-by":"crossref","first-page":"109","DOI":"10.14778\/2732228.2732230","article-title":"Diversity based relevance feedback for time series search","volume":"7","author":"Eravci","year":"2013","journal-title":"Proc. VLDB Endow."},{"key":"10.1016\/j.bdr.2021.100222_br0160","doi-asserted-by":"crossref","DOI":"10.1016\/j.bdr.2019.02.001","article-title":"Visual exploration of geolocated time series with hybrid indexing","volume":"15","author":"Chatzigeorgakidis","year":"2019","journal-title":"Big Data Res."},{"key":"10.1016\/j.bdr.2021.100222_br0170","series-title":"Proceedings of the 2014 International Working Conference on Advanced Visual Interfaces","first-page":"305","article-title":"Visual SPARQL querying based on extended filter\/flow graphs","author":"Haag","year":"2014"},{"issue":"1","key":"10.1016\/j.bdr.2021.100222_br0180","doi-asserted-by":"crossref","first-page":"1","DOI":"10.4018\/jswis.2013010101","article-title":"From overview to facets and pivoting for interactive exploration of semantic web data","volume":"9","author":"Brunetti","year":"2013","journal-title":"Int. J. Semantic Web Inf. Syst."},{"issue":"5","key":"10.1016\/j.bdr.2021.100222_br0190","doi-asserted-by":"crossref","first-page":"627","DOI":"10.3233\/SW-180293","article-title":"OptiqueVQS: a visual query system over ontologies for industry","volume":"9","author":"Soylu","year":"2018","journal-title":"Semant. Web"},{"key":"10.1016\/j.bdr.2021.100222_br0200","series-title":"23rd Conference of Open Innovations Association","first-page":"25","article-title":"RDF graph visualization tools: a survey","author":"Antoniazzi","year":"2018"},{"key":"10.1016\/j.bdr.2021.100222_br0210","series-title":"I-SEMANTICS 2012 \u2013 8th International Conference on Semantic Systems","first-page":"197","article-title":"LodLive, exploring the Web of data","author":"Camarda","year":"2012"},{"key":"10.1016\/j.bdr.2021.100222_br0220","doi-asserted-by":"crossref","first-page":"399","DOI":"10.3233\/SW-150200","article-title":"Visualizing ontologies with VOWL","volume":"7","author":"Lohmann","year":"2016","journal-title":"Semant. Web"},{"key":"10.1016\/j.bdr.2021.100222_br0230","series-title":"The Semantic Web - ISWC 2016 \u2013 Proceedings of 15th International Semantic Web Conference","first-page":"325","article-title":"Capturing industrial information models with ontologies and constraints","author":"Kharlamov","year":"2016"},{"issue":"C","key":"10.1016\/j.bdr.2021.100222_br0240","doi-asserted-by":"crossref","first-page":"55","DOI":"10.1016\/j.compind.2015.10.009","article-title":"Requirements and languages for the semantic representation of manufacturing systems","volume":"81","author":"Negri","year":"2016","journal-title":"Comput. Ind."},{"issue":"6","key":"10.1016\/j.bdr.2021.100222_br0250","doi-asserted-by":"crossref","first-page":"449","DOI":"10.3182\/20120523-3-RO-2023.00222","article-title":"P-PSO ontology for manufacturing systems","volume":"45","author":"Garetti","year":"2012","journal-title":"IFAC Proc. Vol."},{"key":"10.1016\/j.bdr.2021.100222_br0260","first-page":"33","article-title":"An ontology-based model for prognostics and health management of machines","volume":"6","author":"Nu\u00f1ez","year":"2017","journal-title":"J. Ind. Inf. Integr."},{"issue":"6","key":"10.1016\/j.bdr.2021.100222_br0270","doi-asserted-by":"crossref","first-page":"575","DOI":"10.1016\/j.cad.2012.01.008","article-title":"OntoSTEP: enriching product model data using ontologies","volume":"44","author":"Barbau","year":"2012","journal-title":"Comput. Aided Des."},{"key":"10.1016\/j.bdr.2021.100222_br0280","series-title":"International Conference on Industrial Internet of Things and Smart Manufacturing","article-title":"A multi-services architecture for smart manufacturing scenarios","author":"Villalobos","year":"2018"},{"issue":"1","key":"10.1016\/j.bdr.2021.100222_br0290","first-page":"39","article-title":"Semantics-empowered big data processing with applications","volume":"36","author":"Thirunarayan","year":"2015","journal-title":"AI Mag."},{"issue":"1","key":"10.1016\/j.bdr.2021.100222_br0300","doi-asserted-by":"crossref","first-page":"24","DOI":"10.1177\/1473871619858933","article-title":"A model-driven approach to automate data visualization in big data analytics","volume":"19","author":"Golfarelli","year":"2019","journal-title":"Inf. Vis."},{"key":"10.1016\/j.bdr.2021.100222_br0310","author":"Addlesee"},{"key":"10.1016\/j.bdr.2021.100222_br0320","author":"Addlesee"}],"container-title":["Big Data Research"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2214579621000393?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2214579621000393?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2021,12,28]],"date-time":"2021-12-28T16:32:34Z","timestamp":1640709154000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S2214579621000393"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,7]]},"references-count":32,"alternative-id":["S2214579621000393"],"URL":"https:\/\/doi.org\/10.1016\/j.bdr.2021.100222","relation":{},"ISSN":["2214-5796"],"issn-type":[{"value":"2214-5796","type":"print"}],"subject":[],"published":{"date-parts":[[2021,7]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"A Semantic Approach for Big Data Exploration in Industry 4.0","name":"articletitle","label":"Article Title"},{"value":"Big Data Research","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.bdr.2021.100222","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2021 The Authors. Published by Elsevier Inc.","name":"copyright","label":"Copyright"}],"article-number":"100222"}}