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Managing the risks from information — through semantic information management

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BT Technology Journal

Abstract

Information is central to the way organisations work — and with the increasing quantity which organisations must manage, the risks from failure to optimally manage information become ever more significant. The typical organisation uses a wide range of heterogeneous information sources, with differing schemata. This means that information cannot easily be gathered for reporting purposes, and significant connections may be undetected. Moreover, it has been estimated that only 20% of corporate information is in ‘official’ database systems. The remaining 80% is unstructured text, i.e. e-mails, intranet pages, documents, spreadsheets and even transcripts of conversations. This creates risks. Unstructured, informal information is often associated with individuals and when individuals leave, although the information may remain, practical access can be lost. Knowledge management tools are needed to prevent this. More dramatically, when faced with litigation or regulatory requests, companies need effective eDiscovery so as to provide, and be seen to be providing, all the relevant documentation. An important tool in integrating heterogeneous information, and in coping with unstructured information is semantic information management. This paper describes the semantic approach to information management and how it can reduce the risks posed by information. It also describes a research project SEKT, led by BT, which is extending the capability of this semantic approach.

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References

  1. Forrester: ’Putting Structure Around Unstructured Data’, interview with Forrester senior analyst Barry Murphy (2006) — http://www.microsoft.com/business/peopleready/news/optimize/structure.mspx

  2. Murphy B and Markham R: ’eDiscovery Bursts Onto The Scene’, Forrester (2006).

  3. AIIM: ’Electronic Communication Policies and Procedures’, A 2005 Industry Study prepared jointly by AIIM and Kahn Consulting Inc (2005) — http://www.aiim.org/

  4. McComb D: ’Semantics in Business Systems’, Elsevier (see chapter 12 for a discussion of integration) (2004).

  5. Pollock J T and Hodgson R: ’Adaptive Information: Improving Business Through Semantic Interoperability, Grid Computing, and Enterprise Integration’, Wiley-Interscience (2004).

  6. Jansen B J, Spink A and Saracevic T: ’Real life, real users, and real needs: A study and analysis of user queries on the Web’, Information Processing and Management, 36, No 2, pp 207–227 (2000)

    Article  Google Scholar 

  7. Baader et al: ’The Description Logic Handbook’, Cambridge University Press (2003).

  8. Antoniou G and van Harmelen F: ’A Semantic Web Primer’, The MIT Press (2005).

  9. Davies J et al: ’Next generation knowledge management’, BT Technol J, 23, No 3, pp 175–190 (July 2005).

    Article  Google Scholar 

  10. Bouquet P, Serafini L and Zanobini S: ’Semantic Coordination: A new approach and an application’, in Proc of the 2nd International Semantic Web Conference (ISWO’03), Sanibel Islands, Florida, USA (October 2003) — http://citeseer.ist.psu.edu/bouquet03semantic.html

  11. Davies J, Studer R and Warren P: ’Semantic Web Technologies: trends and research in ontology-based systems’, Wiley (2005).

  12. Cimiano P and Völker J: ’Text2Onto — a framework for ontology learning and data-driven change discovery’, Proc of 10th Int Conf on Applications of National Language to Information Systems (NLDB2005) (June 2005).

  13. Fortuna B, Mladenic D and Grobelnik M: ’Semi-automatic Construction of Topic Ontology’, The Second International Workshop on Knowledge Discovery and Ontologies at ECML (2005).

  14. Glover T and Davies J: ’Integrating device independence and user profiles on the Web’, BT Technol J, 23, No 3, pp 239–248 (July 2005).

    Article  Google Scholar 

  15. Davenport T and Probst G (Eds): ‘Knowledge Management Case Book’, Wiley (2002).

Download references

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Warren, P.W., Davies, N.J. Managing the risks from information — through semantic information management. BT Technol J 25, 178–191 (2007). https://doi.org/10.1007/s10550-007-0019-3

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  • DOI: https://doi.org/10.1007/s10550-007-0019-3

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