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GeoLD2024

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
Extended: March 22nd, 2024 - 23:59 AoE Timezone

Notification of acceptance:

April 8th, 2024 - 23:59 AoE Timezone
April 11th, 2024 – 23:59 AoE Timezone

Camera-ready version due:

April 18th, 2024 - 23:59 AoE Timezone
April 22th, 2024 – 23:59 AoE Timezone

Workshop Date:

May 26th, 2024

“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.
The best papers will be invited to submit their extended version to the special issue "Advances in Geospatial Semantic Web Technologies" in the it Information Technology Journal which is edited by the organizers of this workshop.

KEYNOTE

We are happy to announce that our keynote speaker will be Manolis Koubarakis.

KeyNote Title: Recent advances in question answering for geospatial knowledge graphs
Abstract: Geospatial knowledge graphs such as YAGO2, YAGO2geo, WorldKG and KnowWhereGraph have been around for some time. In this talk Manolis Koubarakis will survey some recent question answering engines for these knowledge graphs and compare their effectiveness in answering user questions with a geospatial dimension. He will also discuss future work in this area, especially in the light of recent advances in large language models and chatbots such as ChatGPT and Gemini, and their ability to answer geospatial questions.

Slides

AGENDA

The workshop takes place on 26th May

Final agenda:
Time Agenda item
09:15-09:30 Workshop welcome and introduction by organizers
09:30-10:30 Paper presentations: Geospatial vocabularies
  • Nicholas John Car: Representing spatial uncertainty and allowing for probabilistic topological functions with SUFF, an extension to GeoSPARQL
  • Timo Homburg: GeoWebAnnotations: Extending the W3C Web Annotation Data Model for geospatial data
10:30-11:00 Coffee break
11:00-12:00 Paper presentations: Geospatial knowledge graph applications
  • Basel Shbita, Namrata Sharma, Binh Vu, Fandel Lin, and Craig Knoblock: Constructing a Knowledge Graph of Historical Mining Data
  • Martin Böckling, Heiko Paulheim, and Sarah Detzler: A Planet Scale Spatial-Temporal Knowledge Graph Based On OpenStreetMap And H3 Grid
12:00-12:30 Invited talk: Luís Moreira de Sousa: The GloSIS web ontology Slides
12:30-14:00 Lunch break
14:00-15:00 Paper presentations: Geospatial Standards and Implementations
  • Simon Bin, Claus Stadler, Lorenz Bühmann, and Michael Martin: Getting practical with GeoSPARQL and Apache Jena
  • Timo Homburg, Frans Knibbe, Ghislain Atemezing, Nathalie Abadie, and Luís Moreira de Sousa: The Case for a standardised CRS ontology
15:00-15:30Discussion: Future requirements of geospatial standards
15:30-16:00 Coffee break
16:00-17.00 Keynote talk by Manolis Koubarakis: Recent advances in question answering for geospatial knowledge graphs
17:00-17.30 Workshop photo and closing

ACCEPTED PAPERS

The workshop will be held May 26th 2024.

Basel Shbita, Namrata Sharma, Binh Vu, Fandel Lin, and Craig Knoblock
Constructing a Knowledge Graph of Historical Mining Data
Slides

Simon Bin, Claus Stadler, Lorenz Bühmann, and Michael Martin
Getting practical with GeoSPARQL and Apache Jena
Slides

Timo Homburg, Frans Knibbe, Ghislain Atemezing, Nathalie Abadie, and Luís Moreira de Sousa
The Case for a standardised CRS ontology
Slides

Nicholas John Car
Representing spatial uncertainty and allowing for probabilistic topological functions with SUFF, an extension to GeoSPARQL
Slides

Timo Homburg
GeoWebAnnotations: Extending the W3C Web Annotation Data Model for geospatial data
Slides

Martin Böckling, Heiko Paulheim, and Sarah Detzler
A Planet Scale Spatial-Temporal Knowledge Graph Based On OpenStreetMap And H3 Grid
Slides

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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)

Contact

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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