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Recommending OSM Tags To Improve Metadata Quality

Authors:

Doris Silbernagl,

Nikolaus Krismer,

Nikolaus Augsten,

Günther SpechtAuthors Info & Claims

LocalRec'17: Proceedings of the 1st ACM SIGSPATIAL Workshop on Recommendations for Location-based Services and Social Networks

Article No.: 6, Pages 1 - 10

https://doi.org/10.1145/3148150.3148159

Published: 07 November 2017 Publication History

Abstract

In this paper an application is developed that functions similar to a recommender system and allows to find appropriate OpenStreetMap (OSM) tags by querying co-occurring keys and tags, as well as similar sets of tags in the database. A user may enter key(s) or key-value pair(s), even using wildcard substitution for both, in order to find keys or key-value pairs that are used in combination with the entered ones. Moreover, the top-k matching tag sets are also presented. The results are then top-k ranked, based on the frequency of the occurrence of each distinct set in the database. This information may enable a user to find the most comprehensive and best fitting tag set for an OSM element. This assumption is examined in an evaluation where the precision and recall metrics for both approaches are computed and compared. Our approach helps discovering combinations of tags and their usage frequency in contrast to common recommender systems that focus on classifying or clustering elements and finding the most accurate (single) class or cluster rather than sets of tags.

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Cited By

Ahmadian SPahlavani P(2024)A fuzzy rough approach to analyze the significance of semantic levels for building tags in OpenStreetMapTransactions in GIS10.1111/tgis.13222Online publication date: 29-Jul-2024
https://doi.org/10.1111/tgis.13222
Ntabathia JChen JMankoff JGomes C(2019)Categories of control and visibility in mapping infrastructuresProceedings of the 2nd ACM SIGCAS Conference on Computing and Sustainable Societies10.1145/3314344.3332494(174-183)Online publication date: 3-Jul-2019
https://dl.acm.org/doi/10.1145/3314344.3332494
Specht G(2018)Die Forschungsgruppe Datenbanken und Informationssysteme an der Universität InnsbruckDatenbank-Spektrum10.1007/s13222-018-0278-918:1(51-56)Online publication date: 9-Feb-2018
https://doi.org/10.1007/s13222-018-0278-9

Index Terms

Recommending OSM Tags To Improve Metadata Quality
1. Information systems

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Information & Contributors

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Published In

cover image ACM Conferences

LocalRec'17: Proceedings of the 1st ACM SIGSPATIAL Workshop on Recommendations for Location-based Services and Social Networks

November 2017

45 pages

ISBN:9781450354998

DOI:10.1145/3148150

Editors:
Panagiotis Bouros
Aarhus University, Denmark
,
Matthias Renz
George Mason University, VA, USA
,
Dimitris Sacharidis
Technische Universität Wien, Austria

Copyright © 2017 ACM.

Permission to make digital or hard copies of all or part 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 components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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SIGSPATIAL: ACM Special Interest Group on Spatial Information

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 07 November 2017

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SIGSPATIAL'17

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SIGSPATIAL

SIGSPATIAL'17: 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems

November 7 - 10, 2017

CA, Redondo Beach, USA

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LocalRec'17 Paper Acceptance Rate 8 of 10 submissions, 80%;

Overall Acceptance Rate 17 of 26 submissions, 65%

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Cited By

Ahmadian SPahlavani P(2024)A fuzzy rough approach to analyze the significance of semantic levels for building tags in OpenStreetMapTransactions in GIS10.1111/tgis.13222Online publication date: 29-Jul-2024
https://doi.org/10.1111/tgis.13222
Ntabathia JChen JMankoff JGomes C(2019)Categories of control and visibility in mapping infrastructuresProceedings of the 2nd ACM SIGCAS Conference on Computing and Sustainable Societies10.1145/3314344.3332494(174-183)Online publication date: 3-Jul-2019
https://dl.acm.org/doi/10.1145/3314344.3332494
Specht G(2018)Die Forschungsgruppe Datenbanken und Informationssysteme an der Universität InnsbruckDatenbank-Spektrum10.1007/s13222-018-0278-918:1(51-56)Online publication date: 9-Feb-2018
https://doi.org/10.1007/s13222-018-0278-9

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