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by Strötgen and Gertz (2010). In that work,
spatiotemporal information of a document is
extracted through the processing of the text and can
be explored by users after a query. However, the
means to evaluate the temporal ranking of each
document are not supplied.
The analysis of the above studies shows that the
temporal information retrieval is still an open
problem. This analysis also shows that many studies
explore the temporal dimension during the
resolution of queries, but do not use (or use
superficially) this information to establish the
ranking of the retrieved results. This highlights the
need for a more specific ranking, generated from a
deeper analysis of this kind of information.
Moreover, we can notice the lack of effective
solutions to retrieve temporal data in the geospatial
domain. This limitation, allied to the key importance
that the time represents for this domain, highlights
the importance of the work presented in this paper.
7 CONCLUSIONS
The temporal dimension has great importance for the
retrieval of geographic data. However, the retrieval
of geographic data with basis on temporal criteria is
still a hard task for the present SDIs. The absence of
a detailed description of the temporal extension of
the services and the lack of a temporal ranking are
some of the characteristics that cause this limitation.
Aiming to overcome those limitations, this paper
described a new temporal search engine. The main
contributions consist in the development of a new
model that improves the description of the temporal
extension at service and feature type levels, and the
development of a ranking for the feature types
retrieved during a query.
Some future works still should be undertaken to
improve our research. An important task to be
developed consists of extending our approach to
handle others types of temporal information, such as
imprecise temporal information. Besides, we should
improve the integration of our temporal search
engine with the other similarity metrics. This task
will enable us to evaluate the performance of our
tool when solving queries concerning more then one
dimension. Finally, other important improvement to
be undertaken consists of integrating our solution to
the current catalog service interface.
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