AQUAM: Automatic Query Formulation Architecture for Mobile Applications

Simon Waddington, Fotis Menemenis, Symeon Papadopoulos, Ben Bratu, Yiannis Kompatsiaris

Research output: Chapter in Book/Report/Conference proceedingConference paper

6 Citations (Scopus)


When a user performs a web search, the first query entered will frequently not return the required information. Thus, one needs to review the initial set of links and then to modify the query or construct a new one. This incremental process is particularly frustrating and di±cult to manage for a mobile user due to the device limitations (e.g. keyboard, display). We present a query formulation architecture that employs the notion of context in order to automatically construct queries, where context refers to the article currently being viewed by the user. The proposed system uses semantic metadata extracted from the web page being consumed to automatically generate candidate queries. Novel methods are proposed to create and validate candidate queries. Further two variants of query expansion and a post-expansion validation technique are described. Finally, insights into the effectiveness of our system are provided based on evaluation tests of its individual components.
Original languageEnglish
Title of host publicationProceedings MUM '08
Subtitle of host publicationProceedings of the 7th International Conference on Mobile and Ubiquitous Multimedia
PublisherACM New York, NY, USA
Number of pages8
ISBN (Electronic)978-1-60558-192-7
Publication statusPublished - 2008


  • Mobile search
  • query validation
  • query expansion


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