[Air-L] CfP: 5th International Workshop on Geospatial Linked Data at ESWC2022

Beyza Yaman beyza.yaman at adaptcentre.ie
Fri Jan 14 09:38:58 PST 2022


Apologies for cross-posting!
-------------------------------------------------

Dear all,

We are happy to announce that the 5th International Workshop on Geospatial
Linked Data will be co-located with the European Semantic Web Conference
(ESWC) in May 2022.

Details are published on the website: https://i3mainz.github.io/GeoLD2022/


Abstract:
-------------
Geospatial data are essential not only for many traditional GIS tasks such
as navigation, logistics, and tourism, but even more for emerging
technologies like autonomous vehicle navigation, smart city technologies,
and further location-based services. For all these technologies, geospatial
linked data (GLD) is a crucially important source of machine-readable
pre-interpreted information.
Recently, we can observe a transformation process of spatial data
infrastructures from previously merely acting as data providers to becoming
brokers of geospatial information of different kinds, origins, quality, and
a need to interconnect and incorporate information of different data
repositories, often even in real-time.
This need for GLD integration leads to efforts to create next-generation
knowledge graphs which integrate multiple spatial datasets with large
numbers of general datasets containing some geospatial references (e.g.,
\emph{DBpedia, Wikidata}) and even volunteered geographic information
(e.g., \emph{LinkedGeoData}) and sensor data. This integration, either on
the public Web or within organizations has immense socio-economic and
academic benefits. The upsurge in linked data-related presentations in the
Eurogeographics data quality workshop series, in relevant journal
publications, in activities of standardization bodies (OGC GeoSPARQL), and
in Spatial Data Applications shows a deep interest in GLD in national
mapping agencies and beyond. GLD enables web-based, interoperable
geospatial data infrastructures that may enhance and support existing
standardization efforts like Europe's INSPIRE directive.
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, which is of increasing interest to
various stakeholders.
This workshop invites papers covering the challenges and solutions for
handling GLD, especially for building high-quality, adaptable, geospatial
data 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.

Topics of interest
-----------------------
•  GLD vocabularies and standards (GeoSPARQL, INSPIRE, W3C, OGC)
•  Extraction/transformation of GLD 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 GLD processing
•  Distributed solutions for GLD management (storing, querying, mapping)
•  Algorithms and tools for large scale, scalable GLD management
•  Efficient Indexing and Querying of GLD
•  Geospatial-specific Reasoning on RDF Data
•  Ranking techniques on querying Geospatial RDF Data
•  Advanced querying capabilities on Geospatial RDF Data
•  Benchmarking of GLD applications
•  GLD in social web platforms and applications
•  Visualization models/interfaces for browsing/authoring/querying GLD
•  Real world applications/use cases/paradigms using GLD
•  Evaluation/comparison of tools/libraries/frameworks for GLD
•  Data governance models for GLD

Important Dates
----------------------
Paper submission: March 6th, 2022
Notification of acceptance: April 4th, 2022
Camera-ready paper submission: April 9th, 2022

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)
Assoc. Prof. Dr. Armin Haller (Australian National University, Australia)

We are looking forward to your submissions!

Best Regards,
Timo Homburg, Beyza Yaman, Mohamed Ahmed Sherif, Armin Haller.



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