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A rule-based genetic algorithm for mapping route descriptions towards map representations

Published: 03 October 2013 Publication History

Abstract

When maps are not available verbal route descriptions provide a useful alternative for humans navigating in a natural environment. The semantics that emerge from such descriptions encompass several modelling abstractions that have been long studied by spatial cognition. However, a formal representation of navigation descriptions still remains a research challenge. The objective of the research presented in this paper is to provide a modelling approach for the description and fusion of several verbal route descriptions, and to identify the relevant places that emerge. A semantic spatial network is derived, thus generating a conceptual map that might be used for pedestrian navigation. The semantic spatial network is generated after application of a genetic algorithm and fusion rules to verbal route descriptions recorded by several humans navigating in a given natural environment. Preliminary results are encouraging but still have to be compared with real maps and with expert knowledge.

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    cover image ACM Conferences
    COMP '13: Proceedings of The First ACM SIGSPATIAL International Workshop on Computational Models of Place
    November 2013
    75 pages
    ISBN:9781450325356
    DOI:10.1145/2534848
    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    Published: 03 October 2013

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    1. Verbal route descriptions
    2. genetic algorithm

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