6th International Workshop on Geospatial Linked Data at ESWC 2024

Call for Papers   Submission   Committee

Important Dates

Submission deadline:

March 10th, 2024 - 23:59 AoE Timezone

Notification of acceptance:

April 15th, 2024 - 23:59 AoE Timezone

Camera-ready version due:

April 30th, 2024 - 23:59 AoE Timezone

Workshop Date:

May 26th or May 27th, 2024, to be announced

“When we see the power of integrating geospatial data with other data, that’s when we see real potential.”

Nadine Alameh, chief executive officer, Open Geospatial Consortium (The Economist Intelligence Unit)

Call for Papers and topics

Geospatial data is vital for both traditional applications like navigation, logistics, and tourism and emerging areas like autonomous vehicles, smart buildings and GIS on demand. Spatial linked data has recently transitioned from experimental prototypes to national infrastructure. However the next generation of spatial knowledge graphs will integrate multiple spatial datasets with the large number of general datasets that contain some geospatial references (e.g., DBpedia, Wikidata). This integration, either on the public Web or within organizations has immense socio-economic as well as academic benefits. The upsurge in Linked data related presentations in the recent Eurogeographics data quality workshop shows the deep interest in Geospatial Linked Data (GLD) in national mapping agencies. GLD enables a web-based, interoperable geospatial infrastructure. This is especially relevant for delivering the INSPIRE directive in Europe. Moreover, geospatial information systems benefit from Linked Data principles in building the next generation of spatial data applications e.g., federated smart buildings, self-piloted vehicles, delivery drones or automated local authority services.

This workshop invites papers covering the challenges and solutions for handling with GLD, especially for building high quality, adaptable, geospatial infrastructures and next-generation spatial applications. We aim to demonstrate the latest approaches and implementations and to discuss the solutions to challenges and issues arising from research and industrial organizations.

Interoperability and Integration

  • Geospatial Linked Data vocabularies and standards (GeoSPARQL, INSPIRE, W3C, OGC)
  • Extraction/transformation of Geospatial Linked Data from native geospatial data sources
  • Integration (schema mapping, interlinking, fusion) techniques for Geospatial RDF Data
  • Enrichment, quality and evolution of Linked Data with Geospatial information
  • Machine Learning improving Geospatial Linked Data processing
  • Natural Language Processing, especially Large Language Models for improving GLD processing

Big Geospatial Data Management

  • Distributed solutions for Geospatial Linked Data management (storing, querying, mapping)
  • Algorithms and tools for large scale, scalable Geospatial Linked Data management
  • Efficient Indexing and Querying of Geospatial Linked Data
  • Geospatial-specific Reasoning on RDF Data
  • Ranking techniques on querying Geospatial RDF Data
  • Advanced querying capabilities on Geospatial RDF Data

Utilization of Geospatial Linked Data

  • Benchmarking of Geospatial Linked Data applications
  • Geospatial Linked Data in social web platforms and applications
  • Geospatial linked data applications for indoor navigation
  • Visualization models/interfaces for browsing/authoring/querying Geospatial Linked Data
  • Real-world applications/use cases/paradigms using Geospatial Linked Data
  • Evaluation/comparison of tools/libraries/frameworks for Geospatial Linked Data
  • Data governance models for Geospatial Linked Data

Submission instructions

All papers must be original and not simultaneously submitted to another journal or conference. The following paper categories are welcome:​​​​​​​

  • Long papers (up to 12 pages): Presenting novel scientific research pertaining to geospatial Linked Data.
  • Short papers (up to 6 pages): Position papers, System, Library, API and Dataset descriptions, relevant to the topics of interest.
  • Demo/Tutorial papers (up to 4 pages): Describe a demo or hands-on tutorial of a tool on the workshop topics.

Submissions must be in English formatted in the style CEURART of CEUR-WS (single column). For details on the CEUR-WS CEURART style, see CEUR-WS Author Instructions. We accept PDF submissions.
Papers must be submitted through the EasyChair system no later than the to be announced deadline, Anywhere on Earth TimeZone. Submissions will be reviewed by members of the workshop program committee. Papers will be evaluated according to their significance, originality, technical content, style, clarity, and relevance to the workshop.
The complete set of papers will be published with the CEUR Workshop Proceedings (CEUR-WS.org) and listed by the DBLP.

Organizing Committee

The organizing committee consists of the following members:

Timo Homburg (i3mainz -- Institute for Spatial Information Surveying Technology, Mainz University Of Applied Sciences, Germany)


Dr. Beyza Yaman (ADAPT Centre, Trinity College Dublin, Ireland)

Dr. Mohamed Ahmed Sherif (University of Paderborn, Germany)

Prof. Dr. Axel-Cyrille Ngonga Ngomo (University Of Paderborn, Germany)

Dr. Manolis Koubarakis, National and Kapodistrian University of Athens, Greece
Dr. Sergio José Rodríguez Méndez, Australian National University, Australia
Dr. Milos Jovanovik, Ss. Cyril and Methodius University in Skopje, N. Macedonia
Dr. Mirko Spasić, OpenLink Software, UK
Nikolaos Karalis, DICE research group, University of Paderborn, Germany
Dr. Nicholas Car, Kurrawong AI, Australia
Dr. Erwin Folmer Kadaster, University of Twente, The Netherlands
Dr. Pasquale Di Donato, swisstopo/COGIS, Switzerland
Abdullah Fathi Ahmed, ETAS / Robert Bosch Group, Germany
Dr. Hamada Zahera, DICE research group, University of Paderborn, Germany
Johannes Theissen-Lipp, RWTH Aachen University, Germany
Dr. Michael Röder, DICE research group, University of Paderborn, Germany
Daniel Vollmers, DICE research group, University of Paderborn, Germany
Dr. Declan O'Sullivan, Trinity College Dublin, Ireland
Dr. Rob Brennan, University College Dublin, Ireland
Dr. Julio Hernandez, Trinity College Dublin, Ireland
Marvin Hofer, ScaDS.AI, InfAI, Leipzig University, Germany
Dr. Amit Kirschenbaum, InfAI, Leipzig University, Germany

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