Automatic indexing in e-government - VBN - Aalborg Universitet

Automatic indexing in e-government
searches categorization is less useful, if highly relevant documents are retrieved
fast. In those cases categorization reduces efficiency.
Categorization have primarily been tested in larger collection than the present
test collection. From the present results it has been learned that categorization is
also useful in smaller document collections.
However, in order to be able to be supportive to the user group an appropriate
level of specificity must be expressed through the KOS. In addition, the
categorization of documents must be correct and meet the employees’
understanding of the domain.
9.3 Recommendations for future work
In continuation of the conclusions drawn above, the present section suggests
recommendations for future work. Thus, though the thesis have added to our
knowledge about professional e-government information seeking and the ability of
automatic categorization to support this behavior, new question have arisen, that
remains to be answered. The suggestions are divided in two: Suggestions regarding the
empirical setting and suggestions regarding the tools applied in the study.
The empirical stetting of the thesis was a case study of SKAT, the largest
government agency in Denmark. We have touched upon the long length of service of
the employees and its implications for information needs and seeking behavior. This is
not necessarily a general tendency. Therefore it would be interesting to investigate, if
the behavior is different in smaller governments.
As a consequence of the information needs characterized in the domain study,
low complexity simulated search tasks were used as the point of departure of the search
test along with one genuine search task. It was found that system B performed better in
some variables in relation to the genuine search task as the only task. For that reason it
would be enriching to explore the performance of e-government categorization in a
study designed to reflect genuine search tasks to a larger extent. In this connection
another question arises. Thus, we have not been within the aim of the test design to
state the performance of categorization in terms of more complex information needs. A
study investigating just complex information needs in e-government would add further
to our knowledge of the performance of categorization in the domain. Lastly, in relation
to the empirical setting, the search test provided an insight into employees’ use of a
system for a short amount of time in a system that was new to them. This has
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