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high standard of service. Therefore language process-
ing algorithms will be studied.
These algorithms will interact with the text in-
serted by users in all booking platforms and, as a re-
sult of queries, will show only the offers related to ac-
commodation with appropriate characteristics or ser-
vices.
The positive or negative view of a hotel offer, the
intensity and frequency of that opinion, the emotion
with which the assessment is expressed and the rele-
vance of that deal in comparison with its geographical
area will be analysed.
5 CONCLUSIONS
This paper outlines the implementation of Aposentu,
an innovative dynamic platform, cloud based turned
at hoteliers. The system aims to integrate different
type of essential services to become competitive in
the tourism market and to keep up with time.
By using Aposentu an hotelier will successfully
manage the hotel to optimise the revenue manage-
ment. The proposed platform will also be able to
discover the users’ opinion in order to monitor and
improve web reputation.
Thanks to use of complex network metrics the sys-
tem will evaluate competitors’ offers and will provide
a useful business intelligence tool.
In order to better understand customers’ needs we
proposed a social semantic categorization that com-
bine tags with an ontology to better describe the re-
sources specific to tourism domain.
Furthermore, by using the targeted advertising
tool new guests can be attracted. Given the dynamic
context, the presented system fits well with the new
internet marketing strategies. In fact all listed func-
tionalities will be implement according to a modular
architecture system and, depending on the needs, new
ones can be added as well.
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