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2012 | OriginalPaper | Chapter

9. Searching Content Related by Semantics, Space and Time

Author : Mirosław Stawniak

Published in: Interactive 3D Multimedia Content

Publisher: Springer London

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Abstract

In many practical search applications, information resources that are processed are described by their semantic, spatial, and temporal relations to other resources. Sometimes their meaning is different, depending on the place and time or even the resources change in time and place. Existing search methods are insufficient for such data because they do not take into consideration all the three aspects together.
In this chapter, a new search method of the information resources described by semantic relations and spatiotemporal properties, called TSTSM (Theme-Space-Time Search Method), is described. The TSTSM is based on the TST similarity measure that allows assessing the distance between different concepts in a semantic, spatiotemporal dataset. The main features of the TSTSM method include its ability to seamlessly deal with concepts evolving in space and time, to operate on both imprecise data and imprecisely defined user queries, to rank the search results, and to provide extensive visualizations of the result sets. Precision and recall of the TSTSM have been evaluated in comparison with keyword and relation based search engines.

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Metadata
Title
Searching Content Related by Semantics, Space and Time
Author
Mirosław Stawniak
Copyright Year
2012
Publisher
Springer London
Book
Interactive 3D Multimedia Content

Print ISBN: 978-1-4471-2496-2

Electronic ISBN: 978-1-4471-2497-9

Copyright Year: 2012

DOI
https://doi.org/10.1007/978-1-4471-2497-9_9