Special Issue "On Denotation and Connotation in Web Semantics, Collaboration and Metadata"

A special issue of ISPRS International Journal of Geo-Information (ISSN 2220-9964).

Deadline for manuscript submissions: closed (1 July 2020) | Viewed by 5128

Special Issue Editors

Istituto Nazionale di Oceanografia e di Geofisica Sperimentale - OGS, Sgonico (Trieste), Italy
Interests: collaborative systems; computer-supported collaborative work (CSCW); data management; web-based visualization systems; metadata
National Research Centre of Italy, Earth and Space Science Informatics Laboratory (ESSI-Lab), Institute on Atmospheric Pollution Research, 50019 Sesto Fiorentino, Italy
Interests: earth observations; information technology; web ontologies; metadata; data
Special Issues, Collections and Topics in MDPI journals
Departament de Geografia, Universitat Autònoma de Barcelona, 08193 Barcelona, Spain
Interests: data; metadata; web semantics; remote sensing; signal processing
Special Issues, Collections and Topics in MDPI journals
Dr. Asch Kristine
E-Mail Website
Guest Editor
Department Geoscienific Information, International Cooperation, Bundesanstalt für Geowissenschaften und Rohstoffe, Hannover, Germany
Interests: data; metadata; geologic mapping; international collaboration; GIS.

Special Issue Information

Dear Colleagues,

Earth systems science is fundamentally cross-disciplinary. This, increasingly, requires sharing and exchange of geoscientific information among researchers with different backgrounds and traditions crossing discipline boundaries. This information can be both rich and complex, and content is often not readily interpretable by either humans or machines. In the former case the lack of common semantics, tacit knowledge, and different paradigms harm collaborative research blocking communication and preventing convergence of practices, exchange formats, and access mechanisms. The key to addressing such issues is possibly the representation of knowledge, acting as a map: guiding actors and driving collaboration. Several approaches, methods, and tools can be employed that rely either on the strict denotative formalization of knowledge or loose connotative pragmatics.

The lively scientific community behind EGU ESSI2.1 session is discussing these topics, bringing continuously new ideas and solutions. This Special Issue will collect all the voices that could help in this perspective.

Possible topics:

  • Collaborative scientific research in the geosciences
  • E-research, collaboratories, virtual research environments (VRE)
  • Reasoning in the geosciences.
  • Formalization of reasoning and knowledge and tools to support it. (semantics, web-semantics, ontologies, controlled vocabularies)
  • Representation of reasoning and knowledge (pragmatics, graphs, tags, annotations, and the like)
  • Philosophy, history, and sociology of science with a specific focus on the geosciences.
  • Data, information, and knowledge.
  • Metadata and data models

Dr. Paolo Diviacco
Dr. Paolo Mazzetti
Dr. Alaitz Zabala Torres
Dr. Asch Kristine
Guest Editor

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 submissions that pass pre-check are 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. ISPRS International Journal of Geo-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 1700 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.


  • collaborative research
  • cross-disciplinary studies
  • knowledge representation
  • denotation
  • connotation
  • semantics
  • pragmatics
  • metadata

Published Papers (1 paper)

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A Framework Uniting Ontology-Based Geodata Integration and Geovisual Analytics
ISPRS Int. J. Geo-Inf. 2020, 9(8), 474; https://doi.org/10.3390/ijgi9080474 - 28 Jul 2020
Cited by 11 | Viewed by 4001
In a variety of applications relying on geospatial data, getting insights into heterogeneous geodata sources is crucial for decision making, but often challenging. The reason is that it typically requires combining information coming from different sources via data integration techniques, and then making [...] Read more.
In a variety of applications relying on geospatial data, getting insights into heterogeneous geodata sources is crucial for decision making, but often challenging. The reason is that it typically requires combining information coming from different sources via data integration techniques, and then making sense out of the combined data via sophisticated analysis methods. To address this challenge we rely on two well-established research areas: data integration and geovisual analytics, and propose to adopt an ontology-based approach to decouple the challenges of data access and analytics. Our framework consists of two modules centered around an ontology: (1) an ontology-based data integration (OBDI) module, in which mappings specify the relationship between the underlying data and a domain ontology; (2) a geovisual analytics (GeoVA) module, designed for the exploration of the integrated data, by explicitly making use of standard ontologies. In this framework, ontologies play a central role by providing a coherent view over the heterogeneous data, and by acting as a mediator for visual analysis tasks. We test our framework in a scenario for the investigation of the spatiotemporal patterns of meteorological and traffic data from several open data sources. Initial studies show that our approach is feasible for the exploration and understanding of heterogeneous geospatial data. Full article
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