---
_id: '29013'
abstract:
- lang: eng
  text: Point of Interest (POI) data constitute the cornerstone of any application,
    service or product even remotely related to our physical surroundings. From navigation
    applications to social networks, tourism, and logistics, we use POI data to search,
    communicate, decide and plan our actions. POIs are semantically diverse and spatio-temporally
    evolving entities, having geographical, temporal and thematic relations. Currently,
    integrating POI data to increase their coverage, timeliness, accuracy and value
    is a resource-intensive and mostly manual process, with no specialized software
    available to address the specific challenges of this task. In this paper, we present
    an integrated toolkit for transforming, linking, fusing and enriching POI data,
    and extracting additional value from them. In particular, we demonstrate how Linked
    Data technologies can address the limitations, gaps and challenges of the current
    landscape in Big POI data integration. We have built a prototype application that
    enables users to define, manage and execute scalable POI data integration workflows
    built on top of state-of-the-art software for geospatial Linked Data. The application
    abstracts and hides away the underlying complexity, automates quality-assured
    integration, scales efficiently for world-scale integration tasks and lowers the
    entry barrier for end-users. Validated against real-world POI datasets in several
    application domains, our system has shown great potential to address the requirements
    and needs of cross-sector, cross-border and cross-lingual integration of Big POI
    data.
author:
- first_name: Spiros
  full_name: Athanasiou, Spiros
  last_name: Athanasiou
- first_name: Giannopoulos
  full_name: Giorgos, Giannopoulos
  last_name: Giorgos
- first_name: Graux
  full_name: Damien, Graux
  last_name: Damien
- first_name: Karagiannakis
  full_name: Nikos, Karagiannakis
  last_name: Nikos
- first_name: Lehmann
  full_name: Jens, Lehmann
  last_name: Jens
- first_name: Axel-Cyrille
  full_name: Ngonga Ngomo, Axel-Cyrille
  id: '65716'
  last_name: Ngonga Ngomo
- first_name: Patroumpas
  full_name: Kostas, Patroumpas
  last_name: Kostas
- first_name: Mohamed
  full_name: Sherif, Mohamed
  id: '67234'
  last_name: Sherif
  orcid: https://orcid.org/0000-0002-9927-2203
- first_name: Dimitrios
  full_name: Skoutas, Dimitrios
  last_name: Skoutas
citation:
  ama: 'Athanasiou S, Giorgos G, Damien G, et al. Big POI data integration with Linked
    Data technologies. In: <i>International Conference on Extending Database Technology
    2019, EDBT19</i>. ; 2019.'
  apa: Athanasiou, S., Giorgos, G., Damien, G., Nikos, K., Jens, L., Ngonga Ngomo,
    A.-C., Kostas, P., Sherif, M., &#38; Skoutas, D. (2019). Big POI data integration
    with Linked Data technologies. <i>International Conference on Extending Database
    Technology 2019, EDBT19</i>.
  bibtex: '@inproceedings{Athanasiou_Giorgos_Damien_Nikos_Jens_Ngonga Ngomo_Kostas_Sherif_Skoutas_2019,
    title={Big POI data integration with Linked Data technologies}, booktitle={International
    Conference on Extending Database Technology 2019, EDBT19}, author={Athanasiou,
    Spiros and Giorgos, Giannopoulos and Damien, Graux and Nikos, Karagiannakis and
    Jens, Lehmann and Ngonga Ngomo, Axel-Cyrille and Kostas, Patroumpas and Sherif,
    Mohamed and Skoutas, Dimitrios}, year={2019} }'
  chicago: Athanasiou, Spiros, Giannopoulos Giorgos, Graux Damien, Karagiannakis Nikos,
    Lehmann Jens, Axel-Cyrille Ngonga Ngomo, Patroumpas Kostas, Mohamed Sherif, and
    Dimitrios Skoutas. “Big POI Data Integration with Linked Data Technologies.” In
    <i>International Conference on Extending Database Technology 2019, EDBT19</i>,
    2019.
  ieee: S. Athanasiou <i>et al.</i>, “Big POI data integration with Linked Data technologies,”
    2019.
  mla: Athanasiou, Spiros, et al. “Big POI Data Integration with Linked Data Technologies.”
    <i>International Conference on Extending Database Technology 2019, EDBT19</i>,
    2019.
  short: 'S. Athanasiou, G. Giorgos, G. Damien, K. Nikos, L. Jens, A.-C. Ngonga Ngomo,
    P. Kostas, M. Sherif, D. Skoutas, in: International Conference on Extending Database
    Technology 2019, EDBT19, 2019.'
date_created: 2021-12-17T09:54:54Z
date_updated: 2023-08-16T10:29:26Z
keyword:
- 2019 sys:relevantFor:infai group\_aksw simba sherif ngonga lehmann slipo limes dice
  deer
language:
- iso: eng
publication: International Conference on Extending Database Technology 2019, EDBT19
status: public
title: Big POI data integration with Linked Data technologies
type: conference
user_id: '67234'
year: '2019'
...