A rule-based framework for creating instance data from OpenStreetMap

Thomas Eiter, Jeff Z. Pan, Patrik Schneider*, Mantas Šimkus, Guohui Xiao

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Reasoning engines for ontological and rule-based knowledge bases are becoming increasingly important in areas like the Semantic Web or information integration. It has been acknowledged however that judging the performance of such reasoners and their underlying algorithms is difficult due to the lack of publicly available datasets with large amounts of (real-life) instance data. In this paper we describe a framework and a toolbox for creating such datasets, which is based on extracting instances from the publicly available OpenStreetMap (OSM) geospatial database. To this end, we give a formalization of OSM and present a rule-based language to specify the rules to extract instance data from OSM data. The declarative nature of the approach in combination with external functions and parameters allows one to create several variants of the dataset via small modifications of the specification. We describe a highly flexible toolbox to extract instance data from a given OSM map and a given set of rules. We have employed our tools to create benchmarks that have already been fruitfully used in practice.

Original languageEnglish
Title of host publicationWeb Reasoning and Rule Systems - 9th International Conference on Web Reasoning and Rule Systems, RR 2015
PublisherSpringer-Verlag
Pages93-104
Number of pages12
Volume9209
ISBN (Electronic)978-3-319-22002-4
ISBN (Print)978-3-319-22001-7
DOIs
Publication statusPublished - 2015
Event9th International Conference on Web Reasoning and Rule Systems, RR 2015 - Berlin, Germany
Duration: 4 Aug 20155 Aug 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9209
ISSN (Print)03029743
ISSN (Electronic)16113349

Conference

Conference9th International Conference on Web Reasoning and Rule Systems, RR 2015
CountryGermany
CityBerlin
Period4/08/155/08/15

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

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    Eiter, T., Pan, J. Z., Schneider, P., Šimkus, M., & Xiao, G. (2015). A rule-based framework for creating instance data from OpenStreetMap. In Web Reasoning and Rule Systems - 9th International Conference on Web Reasoning and Rule Systems, RR 2015 (Vol. 9209, pp. 93-104). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9209). Springer-Verlag. https://doi.org/10.1007/978-3-319-22002-4_8