Please use this identifier to cite or link to this item:
|Title: ||Text mining of Post Project Reviews|
|Authors: ||Oluikpe, Paul|
Carrillo, Patricia M.
Harding, Jennifer A.
Choudhary, Alok K.
|Keywords: ||Post Project Reviews|
|Issue Date: ||2008|
|Publisher: ||© CIB|
|Citation: ||OLUIKPE, P. ... et al, 2008. Text mining of Post Project Reviews. IN: Naaranoja, M. ... et al, (eds.) CIB W102 Conference on Performance and Knowledge Management, 3-4 June, Helsinki, Finland, pp. 70-81|
|Abstract: ||Post Project Reviews (PPR) are a rich source of knowledge and information for organisations - if
they have the time and resources to analyse them. Too often such reports are stored, unread by
many who can benefit from them. PPRs attempt to document the project experience – both good
and bad. If these reports were analysed collectively, they may expose important detail, perhaps
repeated between projects. However, because most companies do not have the resources to
examine these PPR, either individually or collectively, important insights are missed thereby
leading to a missed opportunity to learn from previous projects. Hidden knowledge and
experiences can be captured by using knowledge discovery and text mining to uncover patterns,
associations, and trends in data. The results might then be used to enhance processes, improve
customer relationships, and identify specific problem areas to address.
This paper outlines an ongoing research project that investigates the use of knowledge discovery
and text mining on Post Project Reviews. An illustrative example will be presented using case
studies from the construction sector. The PPR processes of two construction companies were
mapped with the aim of understanding the context, format, terminologies used and key knowledge
areas suitable for text mining. The textual examination of the PPR reports was complemented by
semi-structured interviews and workshops to understand the production and content of the reports.
Preliminary results highlight that although organisations have publicised, standard processes for
PPR, there is a variance in how these are conducted and produced on a regional basis. These
variances provide a number of challenges for organisations from a corporate perspective. Also,
there is an over-reliance on key individuals with little attempt to make some of their knowledge
more explicit and therefore easier to disseminate between project team members. This paper
summarises the challenges in identifying the type of knowledge to be text mined, the format of
PPR reports and the process of conducting PPR. It will also highlights the development of suitable ontologies for text mining PPR reports and provides recommendations on how to improve the
PPR process of companies.|
|Description: ||This conference paper is also freely available online from the ICONDA®CIBlibrary at
|Version: ||Accepted for publication|
|Appears in Collections:||Conference Papers (Architecture, Building and Civil Engineering)|
Files associated with this item:
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.