Publikation
MobEx - a System for Exploratory Search on the Mobile Web
Günter Neumann; Sven Schmeier
In: Joaquim Filipe; Ana Fred. Agents and Artificial Intelligence. Pages 116-130, Communications in Computers and Information Science (CCIS), Vol. 358, ISBN ISBN 978-3-642-36906-3, Springer, 3/2013.
Zusammenfassung
We present MobEx, a mobile touchable application for exploratory
search on the mobile web. The system has been implemented
for operation on a tablet computer, i.e. an Apple iPad, and on a mobile
device, i.e. Apple iPhone or iPod touch. Starting from a topic issued by
the user the system collects web snippets that have been determined by
a standard search engine in a first step and extracts associated topics to
the initial query in an unsupervised way on-demand and highly performant.
This process is recursive in priciple as it furthermore determines
other topics associated to the newly found ones and so forth. As a result
MobEx creates a dense web of associated topics that is presented to the
user as an interactive topic graph. We consider the extraction of topics
as a specific empirical collocation extraction task where collocations are
extracted between chunks combined with the cluster descriptions of an
online clustering algorithm. Our measure of association strength is based
on the pointwise mutual information between chunk pairs which explicitly
takes their distance into account. These syntactically oriented chunk
pairs are then semantically ranked and filtered using the cluster descriptions
created by a Singular Value Decomposition (SVD) approach. An
initial user evaluation shows that this system is especially helpful for
finding new interesting information on topics about which the user has
only a vague idea or even no idea at all.