research-article

Exposing Points of Interest as Linked Geospatial Data

Authors:

Kostas Patroumpas,

Dimitrios Skoutas,

Georgios Mandilaras,

Giorgos Giannopoulos,

Spiros AthanasiouAuthors Info & Claims

SSTD '19: Proceedings of the 16th International Symposium on Spatial and Temporal Databases

Pages 21 - 30

https://doi.org/10.1145/3340964.3340976

Published: 19 August 2019 Publication History

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Abstract

Point of Interest (POI) data is widely used in many modern applications and services related to navigation, tourism, social networking, logistics, and many more. In this paper, we propose a comprehensive and vendor-agnostic data model to represent multi-faceted and enriched POI profiles. Harnessing the versatility of Linked Data technologies, this semantically rich ontology accommodates and extends existing POI formats for assembling and managing POI data from heterogeneous sources. Furthermore, we have developed the open-source software TripleGeo, which can effectively transform POI data from diverse sources and formats (geographical files, databases, and semi-structured data) to their RDF representations and vice versa. Thus, it is possible to import POI data from various existing systems and products, transfer and address the data integration challenges in the Linked Data domain, and export back the results. Our empirical study confirms the validity and efficiency of this framework for a variety of real-world POI assets and formats, underscoring its robustness to cope with scalable data volumes.

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Brosi PBast H(2024)Large-Scale Generation of Transit Maps from OpenStreetMap DataThe Cartographic Journal10.1080/00087041.2024.2325761(1-25)Online publication date: 2-Jul-2024
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Index Terms

Exposing Points of Interest as Linked Geospatial Data
1. Information systems
  1. Data management systems
    1. Information integration
      1. Extraction, transformation and loading

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SSTD '19: Proceedings of the 16th International Symposium on Spatial and Temporal Databases

August 2019

245 pages

ISBN:9781450362801

DOI:10.1145/3340964

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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TU Wien: TU Wien

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Association for Computing Machinery

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Published: 19 August 2019

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SSTD '19

SSTD '19: 16th International Symposium on Spatial and Temporal Databases

August 19 - 21, 2019

Vienna, Austria

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Cited By

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Masmoudi MBen Abdallah Ben Lamine SKarray MArchimede BBaazaoui Zghal H(2024)Semantic Data Integration and Querying: A Survey and ChallengesACM Computing Surveys10.1145/365331756:8(1-35)Online publication date: 26-Apr-2024
https://dl.acm.org/doi/10.1145/3653317
Brosi PBast H(2024)Large-Scale Generation of Transit Maps from OpenStreetMap DataThe Cartographic Journal10.1080/00087041.2024.2325761(1-25)Online publication date: 2-Jul-2024
https://doi.org/10.1080/00087041.2024.2325761
Wei BGuo XLi XWu ZZhao JZou Q(2024)Construct and Query A Fine-Grained Geospatial Knowledge GraphData Science and Engineering10.1007/s41019-023-00237-49:2(152-176)Online publication date: 22-Jan-2024
https://doi.org/10.1007/s41019-023-00237-4
KARA GAKCAN H(2023)POI Verilerinin Semantik Tanımlarının Oluşturulması ve GörselleştirilmesiGenerating Semantic Definitions and Visualization of POI DataTurkish Journal of Remote Sensing and GIS10.48123/rsgis.1254438(213-230)Online publication date: 26-May-2023
https://doi.org/10.48123/rsgis.1254438
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Wei BGuo XWu ZZhao JZou Q(2023)Construct Fine-Grained Geospatial Knowledge GraphDatabase Systems for Advanced Applications. DASFAA 2023 International Workshops10.1007/978-3-031-35415-1_19(267-282)Online publication date: 28-Sep-2023
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