Concept expansion using semantic fisheye views

Exploratory search over a collection often requires users to iteratively apply a variety of strategies, such as searching for more general or more specific concepts in reaction to the information they encounter. Rich semantic models, such as WordNet, are potentially valuable aids for making sense of this information. However, these large complex models often contain specialized vocabularies and a detailed level of granularity that makes them difficult to use for opportunistic search. In this paper, we describe how Semantic Fisheye Views (SFEV) can be designed to transparently integrate rich semantic models into the search process, allowing users to effectively explore a diverse range of related concepts without explicitly navigating over the underlying model. The SFEV combines semantic guided search with interactive visualization techniques, creating a search tool that we have found to be significantly more effective for exploratory tasks than those based on keyword-similarity alone. © Springer-Verlag Berlin Heidelberg 2005.


Published in:
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3815 NCS, 273-282
Year:
2005
Publisher:
Springer Verlag, Heidelberg, D-69121, Germany
ISSN:
0302-9743
Keywords:
Note:
Computer Science and Information Management, School of Advanced Technologies, Asian Institute of Technology (AIT), Klong Luang, Pathumthani 12120, Thailand
Laboratories:




 Record created 2008-01-14, last modified 2018-03-17

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