A transactions pattern for structuring unstructured corporate information in enterprise applications

POLOVINA, Simon and HILL, Richard (2009). A transactions pattern for structuring unstructured corporate information in enterprise applications. International journal of intelligent information technologies, 5 (2), 33-47.

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Link to published version:: https://doi.org/10.4018/jiit.2009040103
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    Abstract

    It is known that 80-85% of all corporate information remains unstructured. As such, many enterprises rely on information systems that cause them to risk transactions that are based on lack of information (errors of omission) or misleading information (errors of commission). To address this concern, the fundamental business concept of monetary transactions is extended to include qualitative business concepts. A Transaction Model (TM) is accordingly identified that provides a structure for these unstructured but vital aspects of business transactions. By highlighting how unstructured information can be integrated into transactions, the TM provides businesses with a much more balanced view of the transactions they engage in or to discover novel transactions that they might have otherwise missed. A simple example is provided that illustrates this integration and reveals a key missing element. This discovery points to a transactions pattern that can be used to ensure that all the parties (or agents) in a transaction are identified, as well as capturing unstructured and structured information into a coherent framework. In support of the TM as a pattern, more examples of its use in a variety of domains are given. A number of enterprise applications are suggested such as in multi-agent systems, document text capture, and knowledge management.

    Item Type: Article
    Research Institute, Centre or Group - Does NOT include content added after October 2018: Cultural Communication and Computing Research Institute > Communication and Computing Research Centre
    Departments - Does NOT include content added after October 2018: Faculty of Science, Technology and Arts > Department of Computing
    Identification Number: https://doi.org/10.4018/jiit.2009040103
    Page Range: 33-47
    Depositing User: Ann Betterton
    Date Deposited: 09 Sep 2009
    Last Modified: 18 Mar 2021 04:17
    URI: http://shura.shu.ac.uk/id/eprint/52

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