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Constructing semantic ontologies for business analytics

Published:17 June 2010Publication History

ABSTRACT

Business analytics (BA) involves defining organization's capabilities and requirements in order to understand how it functions to accomplish its purposes. BA is typically performed to define and validate solutions that are designed to meet organization's business needs, goals or objectives. To pursue this mission, analysts have to collect, analyse and synthesise huge amount of information. In this paper we demonstrate how constructing semantic ontologies can increase the level of automation of BA methods and techniques. This can be achieved by sophisticated semantic data analysis that can help us structure information and obtain birds-eye overview of a given domain. For the case study we take a set of abstracts from the articles presented on CompSysTech'09 conference and use OntoGen tool to semi-automatically construct ontology for the domain. The obtained results indicate that the proposed approach can be effectively used to digest textual information and present it in a more operational form of topic ontology. We argue that such approach can be useful also to generate domain knowledge in the field of BA.

References

  1. Green, P., Rosemann. M. Business Systems Analysis with Ontologies. IGI Global, 2005. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. International Institute of Business Analytics. A Guide to the Business Analysis Body of Knowledge Version 2.0. IIBA Toronto Canada, 2009.Google ScholarGoogle Scholar
  3. Courage, C., Baxter, K. A Practical Guide to User requirements Methods, Tools, and Techniques. Elsevier Science and Technology Books Inc., 2005. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Jenz, E. D. Business Process Ontologies: Speeding up Business Process Implementation, Jenz & Partner Gmbh. Erlensee, 2003.Google ScholarGoogle Scholar
  5. Gennari J., M. A. Musen, R. W. Fergerson, W. E. Grosso, M. Crubezy, H. Eriksson, N. F. Noy, S. W. Tu. The Evolution of Protégé: An Environment for Knowledge-Based Systems Development. 2002.Google ScholarGoogle Scholar
  6. Fortuna B., M. Grobelnik M., D. Mladenić. System for semi-automatic ontology construction. Demo at ESWC 2006. Budva, Črna Gora, June, 2006.Google ScholarGoogle Scholar
  7. Rachev B., A. Smrikarov. Proceedings of the International Conference on Computer Systems and Technologies and Workshop for PhD Students in Computing 2009, Ruse, Bulgaria, June 18--19, 2009. Google ScholarGoogle Scholar
  8. Bontchev B., D. Vassileva, B. Chavkova, V. Mitev. Architectural design of a software engine for adaptation control in the ADOPTA e-learning platform. Proceedings of the International Conference on Computer Systems and Technologies and Workshop for PhD Students in Computing, Ruse, Bulgaria, June 18--19, 2009. Google ScholarGoogle ScholarDigital LibraryDigital Library

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  • Published in

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    CompSysTech '10: Proceedings of the 11th International Conference on Computer Systems and Technologies and Workshop for PhD Students in Computing on International Conference on Computer Systems and Technologies
    June 2010
    575 pages
    ISBN:9781450302432
    DOI:10.1145/1839379

    Copyright © 2010 ACM

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    • Published: 17 June 2010

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