Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/13970
Title: Explanatory Semantic Relatedness and Explicit Spatialization for Exploratory Search
Authors: Hecht, Brent
Downey, Douglas
Quaderi, Mahmood
Carton, Sam
SCHOENING, Johannes 
Raubal, Martin
Gergle, Darren
Issue Date: 2012
Publisher: ACM
Source: Hersch, William R.; Callan, Jamie; Maarek, Joelle; Sanderson, Mark (Ed.). Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval, p. 415-424
Abstract: Explanatory search, in which a user investigates complex concepts, is cumbersome with today’s search engines. We present a new exploratory search approach that generates interactive visualizations of query concepts using thematic cartography (e.g. choropleth maps, heat maps). We show how the approach can be applied broadly across both geographic and non-geographic contexts through explicit spatialization, a novel method that leverages any figure or diagram – from a periodic table, to a parliamentary seating chart, to a world map – as a spatial search environment. We enable this capability by introducing explanatory semantic relatedness measures. These measures extend frequently-used semantic relatedness measures to not only estimate the degree of relatedness between two concepts, but also generate human-readable explanations for their estimates by mining Wikipedia’s text, hyperlinks, and category structure. We implement our approach in a system called Atlasify, evaluate its key components, and present several use cases.
Keywords: Semantic relatedness; exploratory search; spatialization; cartography; geography; Wikipedia; text mining; GIScience
Document URI: http://hdl.handle.net/1942/13970
ISBN: 978-1-4503-1472-5
DOI: 10.1145/2348283.2348341
Category: C1
Type: Proceedings Paper
Appears in Collections:Research publications

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