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Semantic annotation and linking of competitive intelligence reports for business clusters

Published: 27 October 2008 Publication History

Abstract

Competitive intelligence (CI) is a sub-discipline of business intelligence that supports the decision makers in understanding the competitive environment by means of textual reports prepared based on public resources. CI is particularly demanding in the context of larger business clusters. We report on a long-term project featuring large-scale manual semantic annotation of CI reports wrt. business clusters in several industries. The underlying ontologies are the result of collaborative editing by multiple student teams. The results of annotation are finally merged into CI maps that allow easy access to both the original documents and the knowledge structures.

References

[1]
S. Braun, A. Schmidt, A. Walter, G. Nagypal, and V. Zacharias. Ontology maturing: a collaborative web 2.0 approach to ontology engineering. In Proceedings of the Workshop on Social and Collaborative Construction of Structured Knowledge at the 16th International World Wide Web Conference (WWW 07), Banff, Canada, 2007.
[2]
S. Braun, A. Schmidt, and V. Zacharias. Ontology maturing with lightweight collaborative ontology editing tools. In N. Gronau, editor, 4th Conference on Professional Knowledge Management - Experiences and Visions, Workshop on Productive Knowledge Work (ProKW 07), volume 2, pages 217--226, Berlin, March 2007. GITO.
[3]
M. Porter. Competitive Advantage. The Free Press, New York, 1998.

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  1. Semantic annotation and linking of competitive intelligence reports for business clusters

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      cover image ACM Other conferences
      OBI '08: Proceedings of the first international workshop on Ontology-supported business intelligence
      October 2008
      95 pages
      ISBN:9781605582191
      DOI:10.1145/1452567
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 27 October 2008

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      Author Tags

      1. collaborative annotation
      2. competitive intelligence reports
      3. document annotation
      4. ontology engineering
      5. shared ontology population

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