{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,29]],"date-time":"2025-09-29T08:16:34Z","timestamp":1759133794307,"version":"3.41.2"},"reference-count":27,"publisher":"Emerald","issue":"2","license":[{"start":{"date-parts":[[2014,5,27]],"date-time":"2014-05-27T00:00:00Z","timestamp":1401148800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2014,5,27]]},"abstract":"\n Purpose<\/jats:title>\n \u2013 The purpose of this article is to propose and evaluate a novel system architecture for Smart City applications which uses ontology reasoning and a distributed stream processing framework on the cloud. In the domain of Smart City, often methodologies of semantic modeling and automated inference are applied. However, semantic models often face performance problems when applied in large scale. <\/jats:p>\n <\/jats:sec>\n \n Design\/methodology\/approach<\/jats:title>\n \u2013 The problem domain is addressed by using methods from Big Data processing in combination with semantic models. The architecture is designed in a way that for the Smart City model still traditional semantic models and rule engines can be used. However, sensor data occurring at such Smart Cities are pre-processed by a Big Data streaming platform to lower the workload to be processed by the rule engine. <\/jats:p>\n <\/jats:sec>\n \n Findings<\/jats:title>\n \u2013 By creating a real-world implementation of the proposed architecture and running simulations of Smart Cities of different sizes, on top of this implementation, the authors found that the combination of Big Data streaming platforms with semantic reasoning is a valid approach to the problem. <\/jats:p>\n <\/jats:sec>\n \n Research limitations\/implications<\/jats:title>\n \u2013 In this article, real-world sensor data from only two buildings were extrapolated for the simulations. Obviously, real-world scenarios will have a more complex set of sensor input values, which needs to be addressed in future work. <\/jats:p>\n <\/jats:sec>\n \n Originality\/value<\/jats:title>\n \u2013 The simulations show that merely using a streaming platform as a buffer for sensor input values already increases the sensor data throughput and that by applying intelligent filtering in the streaming platform, the actual number of rule executions can be limited to a minimum.<\/jats:p>\n <\/jats:sec>","DOI":"10.1108\/ijpcc-03-2014-0022","type":"journal-article","created":{"date-parts":[[2014,7,10]],"date-time":"2014-07-10T12:41:43Z","timestamp":1404996103000},"page":"168-182","source":"Crossref","is-referenced-by-count":13,"title":["On the application of Big Data in future large-scale intelligent Smart City installations"],"prefix":"10.1108","volume":"10","author":[{"given":"Sylva","family":"Girtelschmid","sequence":"first","affiliation":[]},{"given":"Matthias","family":"Steinbauer","sequence":"first","affiliation":[]},{"given":"Vikash","family":"Kumar","sequence":"first","affiliation":[]},{"given":"Anna","family":"Fensel","sequence":"first","affiliation":[]},{"given":"Gabriele","family":"Kotsis","sequence":"first","affiliation":[]}],"member":"140","reference":[{"key":"key2020123121202235700_b1","unstructured":"Crapo, A.\n , \n Piasecki, R.\n and \n Wang, X.\n (2011), \u201cThe smart grid as a semantically enabled internet of things\u201d, in Implementing Interoperability Advancing Smart Grid Standards, Architecture and Community: Information Interoperability Track, 2011, Phoenix, AZ."},{"key":"key2020123121202235700_b2","doi-asserted-by":"crossref","unstructured":"de Mues, M.O.\n , \n Alvarez, A.\n , \n Espinoza, A.\n and \n Garbajosa, J.\n (2011), \u201cTowards a distributed intelligent ICT architecture for the smart grid\u201d, in Industrial Informatics 2011 Ninth IEEE International Conference, Lisbon.","DOI":"10.1109\/INDIN.2011.6034985"},{"key":"key2020123121202235700_b3","unstructured":"Drools\n (2014), \u201cDrools: business logic integratin platform\u201d, available at: www.jboss.org\/drools\/ (accessed 20 March 2014)."},{"key":"key2020123121202235700_b4","doi-asserted-by":"crossref","unstructured":"Espinoza, A.\n , \n Ortega, M.\n , \n Fernandez, C.\n , \n Garabjosa, J.\n and \n Alvarez, A.\n (2011), \u201cSoftware-intensive systems interoperability in smart grids: a semantic approach\u201d, in Industrial Informatics 2011 Ninth IEEE International Conference, Lisbon.","DOI":"10.1109\/INDIN.2011.6034984"},{"key":"key2020123121202235700_b5","unstructured":"Fusion\n (2014), \u201cDrools fusion: event processing\u201d, available at: www.jboss.org\/drools\/drools-fusion.html (accessed 20 March 2014)."},{"key":"key2020123121202235700_b6","doi-asserted-by":"crossref","unstructured":"Gungor, V.C.\n , \n Sahin, D.\n , \n Kocak, T.\n , \n Ergut, S.\n , \n Buccella, C.\n , \n Cecati, C.\n and \n Hancke, G.P.\n (2012), \u201cSmart grid and smart homes: key players and pilot projects\u201d, Industrial Electronics Magazine, IEEE, Vol. 6 No. 4, pp. 18-34.","DOI":"10.1109\/MIE.2012.2207489"},{"key":"key2020123121202235700_b7","doi-asserted-by":"crossref","unstructured":"Kumar, V.\n , \n Fensel, A.\n , \n Lazendic, G.\n and \n Lehner, U.\n (2012), \u201cSemantic policy-based data management for energy efficient smart buildings\u201d, in On the Move to Meaningful Internet Systems: OTM 2012 Workshops, Rome, Springer, Berlin, pp. 272-281.","DOI":"10.1007\/978-3-642-33618-8_36"},{"key":"key2020123121202235700_b8","unstructured":"Lynch, C.\n (2008), \u201cBig data: how do your data grow?\u201d, Nature, Vol. 455 No. 7209."},{"key":"key2020123121202235700_b9","doi-asserted-by":"crossref","unstructured":"Magoutas, B.\n , \n Apostolou, D.\n and \n Mentzas, G.\n (2011), \u201cSituation-aware demand response in the smart grid\u201d, in Intelligent System Application to Power Systems, 2011 16th International Conference, Crete.","DOI":"10.1109\/ISAP.2011.6082176"},{"key":"key2020123121202235700_b10","unstructured":"Ontotext\n (2014), \u201cOWLIM | ontotext\u201d, available at: www.ontotext.com\/owlim (accessed 20 March 2014)."},{"key":"key2020123121202235700_b11","unstructured":"OpenNebula\n (2014), \u201cFlexible enterprise cloud made simple\u201d, available at: http:\/\/opennebula.org (accessed 20 March 2014)."},{"key":"key2020123121202235700_b12","doi-asserted-by":"crossref","unstructured":"Pena, A.\n and \n Penya, Y.K.\n (2011), \u201cDistributed semantic repositories in smart grids\u201d, in Industrial Informatics 2011 Ninth IEEE International Conference, Lisbon.","DOI":"10.1109\/INDIN.2011.6034981"},{"key":"key2020123121202235700_b13","unstructured":"Redis\n (2014), \u201cRedis: data structure server\u201d, available at: http:\/\/redis.io (accessed 20 March 2014)."},{"key":"key2020123121202235700_b14","doi-asserted-by":"crossref","unstructured":"Rohjans, S.\n (2013), \u201cA standard-compliant ICT-architecture for semantic data service integration in smart grids\u201d, in Innovative Smart Grid Technologies Procedings, Copenhagen, IEEE.","DOI":"10.1109\/ISGT.2013.6497820"},{"key":"key2020123121202235700_b15","unstructured":"S4\n (2014), \u201cApache S4: distributed stream computing platform\u201d, available at: http:\/\/incubator.apache.org\/s4\/ (accessed 20 March 2014)."},{"key":"key2020123121202235700_b16","doi-asserted-by":"crossref","unstructured":"Simmhan, Y.\n , \n Kumbhare, A.G.\n , \n Baohua, C.\n and \n Prasanna, V.\n (2011), \u201cAn analysis of security and privacy issues in smart grid software architectures on clouds\u201d in Cloud Computing 2011 IEEE International Conference, Washington, DC, IEEE.","DOI":"10.1109\/CLOUD.2011.107"},{"key":"key2020123121202235700_b17","unstructured":"Spark\n (2014), \u201cApache spark \u2013 lightning-fast cluster computing\u201d, available at: http:\/\/spark.apache.org (accessed 20 March 2014)."},{"key":"key2020123121202235700_b18","unstructured":"Spring\n (2014), \u201cSpring framework\u201d, available at: http:\/\/spring.io (accessed 20 March 2014)."},{"key":"key2020123121202235700_b19","unstructured":"Stimmel, C.L.\n and \n Gohn, B.\n (2012), \u201cSmart grid data analytics: smart meter, grid operations, asset management, and renewable energy integration data analytics: global market analysis and forecasts\u201d, Executive Summary, Pike Research, Boulder, CO."},{"key":"key2020123121202235700_b20","unstructured":"Storm\n (2014), \u201cApache storm, distributed and fault-tolerant realtime computation\u201d, available at: http:\/\/storm.incubator.apache.org (accessed 20 March 2014)."},{"key":"key2020123121202235700_b21","unstructured":"Talon, C.\n , \n Jaffe, S.\n and \n Nicholson, R.\n (2011), \u201cIDC marketscape: worldwide smart building energy analytics 2011\u201d, IDC Energy Insights Distributed Energy Stragegies, Framingham, MA."},{"key":"key2020123121202235700_b22","doi-asserted-by":"crossref","unstructured":"Tomic, S.\n , \n Fensel, A.\n , \n Schwanzer, M.\n , \n Veljovic, M.K.\n and \n Stefanovic, M.\n (2012), \u201cSemantics for energy efficiency in smart home environment\u201d, Applied Semantic Web Technologies, CRC Press, Taylor & Fancis Group, Berlin Heidelberg.","DOI":"10.1201\/b11085-21"},{"key":"key2020123121202235700_b23","doi-asserted-by":"crossref","unstructured":"Uschold, M.\n and \n Gruninger, M.\n (2004), \u201cOntologies and semantics for seamless connectivity\u201d, in Sepcial Interest Group Management of Data International Conference, Paris.","DOI":"10.1145\/1041410.1041420"},{"key":"key2020123121202235700_b24","unstructured":"Wagner, A.\n , \n Speiser, S.\n and \n Harth, A.\n (2010), \u201cSemantic web technologies for a smart energy grid: requirements and challenges\u201d, in International Semantic Web Conference, Shanghai, Springer, Berlin."},{"key":"key2020123121202235700_b25","doi-asserted-by":"crossref","unstructured":"Weijun, Q.\n , \n Yuanchun, S.\n and \n Yue, S.\n (2007), \u201cOntology-based context-aware middleware for smart spaces\u201d, Tsinghua Science and Technology, Vol. 12 No. 6, pp. 707-713.","DOI":"10.1016\/S1007-0214(07)70179-7"},{"key":"key2020123121202235700_b26","doi-asserted-by":"crossref","unstructured":"Yu, D.Y.\n , \n Ferranti, E.\n and \n Hadeli, H.\n (2013), \u201cAn intelligent building that listens to your needs\u201d, in Symposium on Applied Comuting 2013 Proceedings of the International Conference, Coimbra, ACM, New York, NY.","DOI":"10.1145\/2480362.2480376"},{"key":"key2020123121202235700_b27","doi-asserted-by":"crossref","unstructured":"Zhou, Q.\n , \n Natarajan, S.\n , \n Simmhan, Y.\n and \n Prasanna, V.\n (2012), \u201cSemantic information modeling for emerging applications in smart grid\u201d, in Information Technology: New Generations 2012 Ninth International Conference, Las Vegas, NV.","DOI":"10.1109\/ITNG.2012.150"}],"container-title":["International Journal of Pervasive Computing and Communications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/www.emeraldinsight.com\/doi\/full-xml\/10.1108\/IJPCC-03-2014-0022","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.emerald.com\/insight\/content\/doi\/10.1108\/IJPCC-03-2014-0022\/full\/xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.emerald.com\/insight\/content\/doi\/10.1108\/IJPCC-03-2014-0022\/full\/html","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,24]],"date-time":"2025-07-24T22:05:16Z","timestamp":1753394716000},"score":1,"resource":{"primary":{"URL":"http:\/\/www.emerald.com\/ijpcc\/article\/10\/2\/168-182\/161319"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014,5,27]]},"references-count":27,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2014,5,27]]}},"alternative-id":["10.1108\/IJPCC-03-2014-0022"],"URL":"https:\/\/doi.org\/10.1108\/ijpcc-03-2014-0022","relation":{},"ISSN":["1742-7371"],"issn-type":[{"type":"print","value":"1742-7371"}],"subject":[],"published":{"date-parts":[[2014,5,27]]}}}