메뉴 건너뛰기




Volumn , Issue , 2015, Pages 1103-1112

Semantics for Big Data access & integration: Improving industrial equipment design through increased data usability

Author keywords

big data; data management; domain model; engineering; ontology; semantics; time series data

Indexed keywords

ENGINEERING; GAS TURBINES; GRAPHICAL USER INTERFACES; INFORMATION MANAGEMENT; ONTOLOGY; QUERY LANGUAGES; SEMANTIC WEB; SEMANTICS; USER INTERFACES;

EID: 84963754870     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/BigData.2015.7363864     Document Type: Conference Paper
Times cited : (17)

References (24)
  • 1
    • 84870452716 scopus 로고    scopus 로고
    • Apache Hadoop, http://hadoop. Apache. org/
    • Apache Hadoop
  • 2
    • 84963769701 scopus 로고    scopus 로고
    • Informatica, https://www. informatica. com/
  • 3
    • 84963732859 scopus 로고    scopus 로고
    • SAP, http://www. sap. com/
  • 4
    • 84963775471 scopus 로고    scopus 로고
    • Pentaho, http://www. pentaho. com/
  • 5
    • 84963716099 scopus 로고    scopus 로고
    • Talend, http://www. Talend. com/
  • 6
    • 57849092219 scopus 로고    scopus 로고
    • Semantic grid resource monitoring and discovery with rule processing based on the time-series statistical data
    • S. M. Pahlevi and I. Kojima, "Semantic grid resource monitoring and discovery with rule processing based on the time-series statistical data, " IEEE/ACM International Conference on Grid Computing, 2008, pp. 358-360.
    • (2008) IEEE/ACM International Conference on Grid Computing , pp. 358-360
    • Pahlevi, S.M.1    Kojima, I.2
  • 8
    • 84921800343 scopus 로고    scopus 로고
    • Ontology-driven data integration for railway asset monitoring applications
    • J. Tutcher, "Ontology-driven data integration for railway asset monitoring applications, " IEEE International Conference on Big Data (Big Data), 2014, pp. 85-95.
    • (2014) IEEE International Conference on Big Data (Big Data) , pp. 85-95
    • Tutcher, J.1
  • 16
    • 84963750970 scopus 로고    scopus 로고
    • SPARQL, http://www. w3. org/TR/rdf-sparql-query/
  • 17
    • 84963777334 scopus 로고    scopus 로고
    • Virtuoso, http://virtuoso. openlinksw. com/
  • 20
    • 84876520836 scopus 로고    scopus 로고
    • Hadoop Streaming, https://hadoop. Apache. org/docs/r1. 2. 1/ streaming. html
    • Hadoop Streaming
  • 21
    • 84963756486 scopus 로고    scopus 로고
    • MongoDB, https://www. mongodb. com/
  • 22
    • 84963759194 scopus 로고    scopus 로고
    • KairosDB, https://kairosdb. github. io/
  • 23
    • 84963728536 scopus 로고    scopus 로고
    • Apache HBase, http://hbase. Apache. org/


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.