Warehousing and OLAP Analysis of Bibliographic Data
Author(s)
Tsvetanka Georgieva-Trifonova
ABSTRACT
In this paper, the system bgMath/OLAP for warehousing and online analytical processing bibliographic data is proposed. The implemented system can be useful for the users maintaining their electronic libraries with publications in order to monitoring, evaluating and comparing the scientific development of particular researchers, entire research groups, certain scientific fields and problems.
In this paper, the system bgMath/OLAP for warehousing and online analytical processing bibliographic data is proposed. The implemented system can be useful for the users maintaining their electronic libraries with publications in order to monitoring, evaluating and comparing the scientific development of particular researchers, entire research groups, certain scientific fields and problems.
KEYWORDS
Data Warehousing, Online Analytical Processing, Bibliographic Information System, Electronic Library
Data Warehousing, Online Analytical Processing, Bibliographic Information System, Electronic Library
Cite this paper
nullT. Georgieva-Trifonova, "Warehousing and OLAP Analysis of Bibliographic Data," Intelligent Information Management, Vol. 3 No. 5, 2011, pp. 190-197. doi: 10.4236/iim.2011.35023.
nullT. Georgieva-Trifonova, "Warehousing and OLAP Analysis of Bibliographic Data," Intelligent Information Management, Vol. 3 No. 5, 2011, pp. 190-197. doi: 10.4236/iim.2011.35023.
References
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[1] I. Bouyukliev and T. Georgieva-Trifonova, “Development of a Personal Bibliographic Information System,” The Electronic Library, 2011, accepted for publication. [2] A. A. Barsegyan, M. S. Kupriyanov, V. V. Stepanenko and I. I. Holod, “Technologies for Data Analysis: Data Mining, Visual Mining, Text Mining, OLAP,” BHV-Petersburg, Saint Petersburg, 2008. [3] W. H. Inmon, “Building the Data Warehouse,” Wiley Publishing, Inc., Hoboken, 2005. [4] E. Hudomalj and G. Vidmar, “OLAP and Bibliographic Databases,” Scientometrics, Vol. 58, No. 3, 2003, pp. 609-622. doi:10.1023/B:SCIE.0000006883.28709.d2 [5] A. Baid, A. Balmin, H. Hwang, E. Nijkamp, J. Rao, B. Reinwald, A. Simitsis, Y. Sismanis and F. Ham, “DBPubs: Multidimensional Exploration of Database Publications,” Proceedings of the 34th International Conference on Very Large Data Bases, Vol. 1, No. 2, 2008, pp. 1456-1459. [6] I. Ben-Gan, L. Kollar, D. Sarka and S. Kass, “Inside Microsoft? SQL Server? 2008: T-SQL Querying,” Microsoft Press, Redmond, 2009. [7] M. Coles, “Pro T-SQL 2008 Programmer’s Guide,” Apress, New York, 2008. [8] L. Davidson, K. Kline, S. Klein and K. Windisch, “Pro SQL Server 2008 Relational Database Design and Implementation,” Apress, New York, 2008. [9] J. Mundy, W. Thornthwaite and R. Kimball, “The Microsoft Data Warehouse Toolkit: With SQL Server 2005 and the Microsoft Business Intelligence Toolset,” John Wiley & Sons, Hoboken, 2006. [10] P. Nielsen, M. White and U. Parui, “Microsoft? SQL Server? 2008 Bible,” Wiley Publishing, Inc., Hoboken, 2009. [11] V. Rainardi, “Building a Data Warehouse: With Examples in SQL Server,” Apress, New York, 2007. [12] G. Spofford, S. Harinath, C. Webb, D. H. Huang and F. Civardi, “MDX Solutions, Second Edition: With Microsoft? SQL Server? Analysis Services 2005 and Hyperion? Essbase,” Wiley Publishing, Inc., Hoboken, 2006. [13] Microsoft Corporation, “SQL Server Integration Services,” 2008. http://msdn.microsoft.com/en-us/library/ms141026.aspx [14] J. Shumate, “A Practical Guide to Microsoft OLAP Server,” Addison-Wesley, Boston, 2000. [15] Microsoft Corporation, “Multidimensional Expressions (MDX) Reference”, 2008. http://msdn.microsoft.com/en-us/library/ms145506.aspx [16] J. Krishnaswamy, “On Accessing Data from an OLAP Server Using MS Excel,” 2005. http://www.aspfree.com/c/a/MS-SQL-Server/On-Accessing-Data-From-An-OLAP-Server-Using-MS-Excel