Special Issue "Geo Information and Knowledge Graphs"
Deadline for manuscript submissions: 1 August 2019
Dr. Francisco J. Lopez-Pellicer
Advanced Information Systems laboratory (IAAA), Aragon Institute of Engineering Research (I3A), Universidad Zaragoza. c/María de Luna 1, 50018, Zaragoza, Spain
Website | E-Mail
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
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 Authors should submit papers describing significant, original, and unpublished work.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.
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Information is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.