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AQUAM: automatic query formulation architecture for mobile applications
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Mobile and Ubiquitous Multimedia archive
Proceedings of the 7th International Conference on Mobile and Ubiquitous Multimedia table of contents
Umeå, Sweden
SESSION: Smart multimedia applications and services table of contents
Pages: 32-39  
Year of Publication: 2008
ISBN:978-1-60558-192-7
Authors
Fotis Menemenis  Multimedia Knowledge Laboratory, Informatics and Telematics Institute, Thermi, Thessaloniki, Greece
Symeon Papadopoulos  Multimedia Knowledge Laboratory, Informatics and Telematics Institute, Thermi, Thessaloniki, Greece
Ben Bratu  Centre for Applications Research, Motorola Labs, Yvette, France
Simon Waddington  Centre for Applications Research, Motorola Labs, Basingstoke, UK
Yiannis Kompatsiaris  Multimedia Knowledge Laboratory, Informatics and Telematics Institute, Thermi, Thessaloniki, Greece
Sponsor
SIGMOBILE: ACM Special Interest Group on Mobility of Systems, Users, Data and Computing
Publisher
ACM  New York, NY, USA
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ABSTRACT

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 difficult 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.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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S. Lawrence. Context in web search. IEEE Data Engineering Bulletin, 23(3):25--32, 2000.
 
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S. Patro, V. M. Malhotra, and D. Johnson. An algorithm to use feedback on viewed documents to improve web query. In WEBIST (Selected Papers), pages 177--189, 2006.
 
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Collaborative Colleagues:
Fotis Menemenis: colleagues
Symeon Papadopoulos: colleagues
Ben Bratu: colleagues
Simon Waddington: colleagues
Yiannis Kompatsiaris: colleagues