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2017 | OriginalPaper | Buchkapitel

PFSgeo: Preference-Enriched Faceted Search for Geographical Data

verfasst von : Panagiotis Lionakis, Yannis Tzitzikas

Erschienen in: On the Move to Meaningful Internet Systems. OTM 2017 Conferences

Verlag: Springer International Publishing

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Abstract

In this paper we show how an exploratory search process, specifically the Preference-enriched Faceted Search (PFS) process, can be enriched for exploring datasets that also contain geographic information. In the introduced extension, that we call PFSgeo, the objects can have geographical coordinates, the interaction model is extended, and the web-interface is enriched with a map which the user can use for inspecting and restricting his focus, as well as for expressing preferences. Preference inheritance is supported as well as an automatic scope-based resolution of conflicts. We detail the implementation of the interaction model, elaborate on performance and report the positive results of a task-based evaluation with users. The value of PFSgeo is that it provides a generic and interactive method for aiding users to select the desired option(s) among a set of options that are described by several attributes including geographical ones, and it is the first model that supports map-based preferences.

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Titel: PFSgeo: Preference-Enriched Faceted Search for Geographical Data
verfasst von: Panagiotis Lionakis
Yannis Tzitzikas
Verlag: Springer International Publishing
Buch: On the Move to Meaningful Internet Systems. OTM 2017 Conferences
Print ISBN: 978-3-319-69458-0

Electronic ISBN: 978-3-319-69459-7

Copyright-Jahr: 2017
DOI: https://doi.org/10.1007/978-3-319-69459-7_9

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