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 Seiten 110-119 SciTePress 2012.


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.


icaart-final.pdf (pdf, 350 KB )

Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence