Geo Information and Knowledge Graphs
A special issue of Information (ISSN 2078-2489). This special issue belongs to the section "Information Applications".
Deadline for manuscript submissions: closed (1 August 2019) | Viewed by 11161
Special Issue Editor
Interests: development of geospatial ontologies; vocabularies and gazetteers; discovery and indexing of geo Web resources; publication of geo information in the Web of Linked Data
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Recently, the term knowledge graph (KG) has begun to be used in research, usually in close association with linked data, large-scale data analytics, and cloud computing. Today, KGs augment the majority of search engines, recommendation systems, personal assistants, and cyber-infrastructures, supporting a wide variety of user-facing activities and improving behind-the-scenes machine learning. Geospatial information plays a vital role in KGs in many application scenarios, such as smart infrastructures, environmental management, navigation, logistics, and tourism. However, despite improving implementations, traditional geographic information systems (GIS) still outperform KGs technologies in functionality, efficiency, and scalability, as they have expert knowledge of what is special about spatial content. How we can solve this gap?
This Special Issue on “Geo Information in Knowledge Graphs” aims to focus on the emerging need for the effective and efficient production, management, and utilization of geospatial information within KGs. Authors should submit papers describing significant, original, and unpublished work. Possible topics include but are not limited to the following:
- Geospatial linked data vocabularies and standards used in knowledge graphs;
- Extraction/transformation of geospatial data sources into knowledge graphs;
- Integration techniques for geospatial knowledge graphs;
- Enrichment, quality, and evolution of knowledge graphs with geospatial information;
- Machine learning improving geospatial knowledge graphs processing;
- Algorithms and tools for large-scale, scalable geospatial knowledge graph management;
- Efficient indexing and querying of geospatial knowledge graphs;
- Geospatial-specific querying and/or reasoning on knowledge graphs;
- Ranking techniques on querying geospatial knowledge graphs;
- Benchmarking of applications powered by geospatial knowledge graphs;
- Novel approaches for browsing/authoring/querying geospatial knowledge graphs;
- Survey of real-world applications using geospatial knowledge graphs;
- Survey of tools/libraries/frameworks for geospatial knowledge graphs.
Guest Editor
Manuscript Submission Information
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