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Timely Report Production from WWW Data Sources

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Workshops on Business Informatics Research (BIR 2011)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 106))

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Abstract

In business intelligence, reporting is perceived by users as the most important area. Here, we present a case study of data integration for reporting within the World Health Organization (WHO).

WHO produces Communicable Disease Epidemiological Profiles for emergency affected countries. Given the nature of emergencies, the production of these reports should be timely. In order to automate the production of the reports, we have introduced a method of integrating data from multiple sources by using the RDF (Resource Description Framework) format.

The model of the data is described using an RDF ontology, making validation of the data from multiple sources possible. However, since RDF is highly technical, we have designed a graphical tool for the end user. The tool can be used to configure the data sources of a given report. After this, data for the report is generated from the sources. Finally, templates are used to generate the reports.

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References

  1. RDF Primer, W3C Recommendation. Tech. rep., W3C (February 10, 2004)

    Google Scholar 

  2. RDF Vocabulary Description Language 1.0: RDF Schema. Tech. rep., W3C (2004)

    Google Scholar 

  3. RDF/XML Syntax Specification. Tech. rep., W3C (2004)

    Google Scholar 

  4. Abiteboul, S., Buneman, P., Suciu, D.: Data on the Web – from Relations to Semistructured Data and XML. Morgan Kaufmann, New York (2000)

    Google Scholar 

  5. Abiteboul, S.: Querying Semi-Structured Data. In: Proceedings of the 6th International Conference on Database Theory, pp. 1–18. Springer, London (1997)

    Google Scholar 

  6. Axson, D.A.J.: Best Practices in Planning and Management Reporting. Wiley, New York (2003)

    Google Scholar 

  7. Bass, L.: A Graphical Interface for Report Specification. In: ACM 1982 Conference, New York (1982)

    Google Scholar 

  8. Bray, T.: RDF and Metadata. xml.com (1998)

    Google Scholar 

  9. Chawathe, S., et al.: The TSIMMIS Project: Integration of Heterogeneous Information Sources. In: Proc. of the 16th Meeting of the Information Processing Society of Japan (1994)

    Google Scholar 

  10. Codd, E., Codd, S., Salley, C.: Providing OLAP to User-Analysts: An IT Mandate. Tech. rep., Hyperion (1993)

    Google Scholar 

  11. Correndo, G., Salvadores, M., Millard, I., Glaser, H., Shadbolt, N.: SPARQL Query Rewriting for Implementing Data Integration over Linked Data. In: Proceedings of the 2010 EDBT/ICDT Workshops, EDBT 2010, pp. 4:1–4:11. ACM, New York (2010)

    Google Scholar 

  12. Hull, R.: Managing Semantic Heterogeneity in Databases: a Theoretical Prospective. In: Proc. ACM Symposium on Principles of Databases (1997)

    Google Scholar 

  13. Jepsen, B.: Microsoft SQL Server 2005 Reporting Services (2005), http://download.microsoft.com/a/a1a34973-9fb6-40c4-b8bb-786a141aa559/SQL_Server_2005_Reporting_Services.ppt

  14. Malinowski, E., Zimanyi, E.: Advanced Data Warehouse Design: from Conventional to Spatial and Temporal Applications. Springer, London (2009)

    Google Scholar 

  15. Mohania, M., Bhide, M.: New Trends in Information Integration. In: The 2nd International Conference on Ubiquitous Information Management and Communication, ICUIMC 2008, pp. 74–81. ACM, New York (2008)

    Google Scholar 

  16. Mori, M., Tanaka, T., Hirokawa, S.: A Document Authoring System for Credible Enterprise Reporting with Data Analysis from Data Warehouse. In: The 4th International Conference on Advances in Semantic Processing, Florence, Italy (2010)

    Google Scholar 

  17. Motro, A.: Superviews: Virtual Integration of Multiple Databases. IEEE Trans. Softw. Eng. 13, 785–798 (1987)

    Article  Google Scholar 

  18. Näppilä, T., Järvelin, K., Niemi, T.: A Tool for Data Cube Construction from Structurally Heterogeneous XML Documents. J. Am. Soc. Inf. Sci. Technol. 59(3), 435–449 (2008)

    Article  Google Scholar 

  19. Niemi, T., Niinimaki, M.: Ontologies and Summarizability in OLAP. In: Proc. SAC 2010, Sierre, Switzerland (2010)

    Google Scholar 

  20. Niemi, T., Nummenmaa, J., Thanisch, P.: Normalising OLAP Cubes for Controlling Sparsity. Data and Knowledge Engineering 46(1), 317–343 (2003)

    Article  Google Scholar 

  21. Niemi, T., Toivonen, S., Niinimäki, M., Nummenmaa, J.: Ontologies with Semantic Web/grid in Data Integration for OLAP. International Journal on Semantic Web and Information Systems, Special Issue on Semantic Web and Data Warehousing 3(4) (2007)

    Google Scholar 

  22. Niinimäki, M., Niemi, T.: An ETL process for OLAP using RDF/OWL ontologies. In: Spaccapietra, S., Zimányi, E., Song, I.-Y. (eds.) Journal on Data Semantics XIII. LNCS, vol. 5530, pp. 97–119. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  23. Reddy, M.P., Prasad, B.E., Reddy, P.G.: A Methodology for Integration of Heterogeneous Databases. IEEE Trans. on Knowl. and Data Eng. 6, 920–933 (1994)

    Article  Google Scholar 

  24. Seaborne, A.: RDQL - A Query Language for RDF. Tech. rep., W3C Member Submission (2004), http://www.w3c.org/Submission/RDQL/

  25. Thanisch, P., Niemi, T., Niinimaki, M., Nummenmaa, J.: Using the Entity-Attribute-Value Model for OLAP Cube Construction. In: Grabis, J., Kirikova, M. (eds.) BIR 2011. LNBIP, vol. 90, pp. 59–72. Springer, Heidelberg (2011)

    Chapter  Google Scholar 

  26. Thanisch, P., Nummenmaa, J.: On Selecting a Suitable Set of Reporting Platforms. In: Proc. Business Informatics Research BIR 2006, Kaunas, Lithuania (2006)

    Google Scholar 

  27. The World Wide Web Consortium: XSL Transformations XSLT, Version 1.0, W3C Recommendation (November 16, 1999), http://www.w3.org/TR/xslt

  28. Witkowski, A., Bellamkonda, S., Bozkaya, T., Naimat, A., Sheng, L., Subramanian, S., Waingold, A.: Query by Excel. In: 31st Intl. Conf. of Very Large Data Bases, Trondheim, Norway, pp. 1204–1215 (2005)

    Google Scholar 

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Niinimaki, M., Niemi, T., Martin, S., Nummenmaa, J., Thanisch, P. (2012). Timely Report Production from WWW Data Sources. In: Niedrite, L., Strazdina, R., Wangler, B. (eds) Workshops on Business Informatics Research. BIR 2011. Lecture Notes in Business Information Processing, vol 106. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29231-6_15

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  • DOI: https://doi.org/10.1007/978-3-642-29231-6_15

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-29230-9

  • Online ISBN: 978-3-642-29231-6

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