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Volumn 8074 LNCS, Issue , 2013, Pages 99-110

Linked open government data analytics

Author keywords

data analytics; linked data; Open government data; statistics

Indexed keywords

DATA ANALYTICS; E-GOVERNMENT; LINKED DATA; STATISTICS;

EID: 84885013362     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-40358-3_9     Document Type: Conference Paper
Times cited : (45)

References (19)
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  • 4
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    • Tammisto, Y.1    Lindman, J.2
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    • Exploiting linked data to build web applications
    • Hausenblas, M.: Exploiting linked data to build web applications. IEEE Internet Computing 13(4), 68-73 (2009)
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    • Hausenblas, M.1
  • 13
    • 84861745602 scopus 로고    scopus 로고
    • Enhancing OLAP analysis with web cubes
    • Simperl, E., Cimiano, P., Polleres, A., Corcho, O., Presutti, V. (eds.) Springer, Heidelberg
    • Etcheverry, L., Vaisman, A.A.: Enhancing OLAP Analysis with Web Cubes. In: Simperl, E., Cimiano, P., Polleres, A., Corcho, O., Presutti, V. (eds.) ESWC 2012. LNCS, vol. 7295, pp. 469-483. Springer, Heidelberg (2012)
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    • Etcheverry, L.1    Vaisman, A.A.2
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    • Official statistics and the practice of data fidelity
    • Wood, D. (ed.) Springer
    • Cyganiak, R., Hausenblas, M., McCuirc, E.: Official Statistics and the Practice of Data Fidelity. In: Wood, D. (ed.) Linking Government Data, pp. 135-151. Springer (2011)
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    • Cyganiak, R.1    Hausenblas, M.2    McCuirc, E.3
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    • 80055041485 scopus 로고    scopus 로고
    • DC proposal: Online analytical processing of statistical linked data
    • Aroyo, L., Welty, C., Alani, H., Taylor, J., Bernstein, A., Kagal, L., Noy, N., Blomqvist, E. (eds.) Springer, Heidelberg
    • Kämpgen, B.: DC Proposal: Online Analytical Processing of Statistical Linked Data. In: Aroyo, L., Welty, C., Alani, H., Taylor, J., Bernstein, A., Kagal, L., Noy, N., Blomqvist, E. (eds.) ISWC 2011, Part II. LNCS, vol. 7032, pp. 301-308. Springer, Heidelberg (2011)
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    • Linked open piracy: A story about e-science, linked data and statistics
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    • Generating possible interpretations for statistics from linked open data
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    • Paulheim, H.: Generating Possible Interpretations for Statistics from Linked Open Data. In: Simperl, E., Cimiano, P., Polleres, A., Corcho, O., Presutti, V. (eds.) ESWC 2012. LNCS, vol. 7295, pp. 560-574. Springer, Heidelberg (2012)
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.