Apologies for cross-posting! GeoLD2024: 6th International Workshop on Geospatial Linked Data Hersonissos, Greece, May 26-27, 2024 Conference website https://i3mainz.github.io/GeoLD2024/ Submission link https://easychair.org/conferences/?conf=geold2024 Submission deadline March 10, 2024 GeoLD2024 *6th International Workshop on Geospatial Linked Data* at ESWC 2024 <https://2024.eswc-conferences.org/> 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. The following topics of interest are covered by GeoLD2024. *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 Guidelines 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 Organizing committee - 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) Contact All questions about submissions should be emailed to Timo.Homburg@hs-mainz.de