Big data challenges in industrial automation

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 8062 LNAI, Issue , 2013, Pages 305-316

  Obitko, Marek ^a   Jirkovský, Václav ^a,b   Bezdíček, Jan ^a  

^a Rockwell Automation sro   (Czech Republic)

^b CZECH TECHNICAL UNIVERSITY IN PRAGUE   (Czech Republic)

Author keywords

agents; Big Data; industrial automation; internet of things; large scale data; manufacturing; plant data; semantics; smart grid; transportation

Indexed keywords

BIG DATUM; INDUSTRIAL AUTOMATION; INTERNET OF THINGS (IOT); LARGE SCALE DATA; PLANT DATA; SMART GRID;

AGENTS; INDUSTRIAL APPLICATIONS; MANUFACTURE; MULTI AGENT SYSTEMS; SEMANTIC WEB; SEMANTICS; TRANSPORTATION; VIRTUAL CORPORATION;

DISTRIBUTED COMPUTER SYSTEMS;

EID: 84884957395     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-40090-2_27     Document Type: Conference Paper

References (19)

1. Balaji, P.G., Srinivasan, D.: Multi-Agent System in Urban Traffic Signal Control. IEEE Computational Intelligence Magazine 5(4), 43-51 (2010)
2. Becker, A., Sénéclauye, G., Purswani, P., Karekar, S.: Internet of Things. Atos White Paper (2012)
3. Bizer, C., Boncz, P., Brodie, M.L., Erling, O.: The Meaningful Use of Big Data: Four Perspectives - Four Challenges. SIGMOD Records 40(4) (December 2011)
4. Carme, J., Jimenez, F.J.R.: Open Source Solutions for Big Data Management. Atos White Paper (2011)
5. Community white paper: Challenges and Opportunities with Big Data (2012)
6. Chui, M., Löffler, M., Roberts, R.: The Internet of Things. McKinsey Quarterly (2010)
7. Dean, J., Ghemawat, S.: MapReduce: Simplified Data Processing on Large Clusters. Communications of the ACM 51(1), 107-113 (2008)
8. Detica: Unblocking the transport network. Whitepaper (2010)
9. GE Intelligent Platforms: The Rise of Industrial Big Data. Whitepaper (2012)
10. IBM Software: Managing Big Data for smart grids and smart meters. Whitepaper (2012)
11. Lin, J., Sedigh, S., Hurson, A.R.: An Agent-Based Approach to Reconciling Data Heterogeneity in Cyber-Physical Systems. In: IEEE International Symposium on Parallel and Distributed Processing, pp. 93-103 (2011)
12. Kaisler, S., Armour, F., Espinosa, J.A., Money, W.: Big Data: Issues and Challenges Moving Forward. In: 46th Hawaii International Conference on System Sciences. IEEE Press (2013)
13. Manola, F., Miller, E. (eds.): RDF Primer. W3C Recommendation (2004)
14. Manyika, J., Chui, M., Brown, B., Bughin, J., Dobbs, R., Roxburgh, C.: Big Data: The next frontier for innovation, competition, and productivity. McKinsey Global Institute Report (2011)
15. NewVantage Partners: Big Data Executive Survey 2012. Consolidated Summary Report (2012)
16. North, M.J., Collier, N.T., Ozik, J., Tatara, E., Altaweel, M., Macal, C.M., Bragen, M., Sydelko, P.: Complex Adaptive Systems Modeling with Repast Simphony. In: Complex Adaptive Systems Modeling. Springer (2013)
17. Schlieski, T., Johnson, B.D.: Entertainment in the Age of Big Data. Proceedings of the IEEE 100, 1404-1408 (2012)
18. Singh, S., Singh, N.: Big Data analytics. In: 2012 International Conference on Communication, Information & Computing Technology (ICCICT), Mumbai, India. IEEE Press (2012)
19. W3C OWL Working Group. OWL 2 Web Ontology Language Document Overview, 2nd edn. W3C Recommendation (2012)