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Visual information search systems support different search approaches such as targeted, exploratory or analytical
search. Those visual systems deal with the challenge of composing optimal initial result visualization sets that face the
search intention and respond to the search behavior of users. The diversity of these kinds of search tasks require
different sets of visual layouts and functionalities, e.g. to filter, thrill-down or even analyze concrete data properties. This
paper describes a new approach to calculate the probability towards the three mentioned search intentions, derived
from users' behavior. The implementation is realized as a web-service, which is included in a visual environment that is
designed to enable various search strategies based on heterogeneous data sources. In fact, based on an entered
search query our developed search intention analysis web-service calculates the most probable search task, and our
visualization system initially shows the optimal result set of visualizations to solve the task. The main contribution of this
paper is a probability-based approach to derive the users' search intentions based on the search behavior enhanced
by the application to a visual system
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