Publication
Exploratory Search on the Mobile Web
Günter Neumann; Sven Schmeier
In: 4th International Conference on Agents and Artificial Intelligence (ICAART 2012) . International Conference on Agents and Artificial Intelligence (ICAART), February 6-8, Vilamoura, Algarve, Portugal, Pages 110-119, SciTePress, 2012.
Abstract
We present a mobile touchable application for online topic graph extraction and exploration of web content.
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. The topics are extracted from web snippets which are determined by
a standard search engine. 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. 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.