Implicit, Formal, and Powerful Semantics in Geoinformation
Bibliographic Data
| ID | 22031249 |
|---|---|
| Authors | Gloria Bordogna (0000-0002-6775-753X, Istituto per il Rilevamento Elettromagnetico dell'Ambiente), Cristiano Fugazza (0000-0003-2679-4868, Istituto per il Rilevamento Elettromagnetico dell'Ambiente, corresponding author), Paolo Tagliolato (0000-0002-0261-313X, Istituto per il Rilevamento Elettromagnetico dell'Ambiente), Paola Carrara (0000-0001-6805-3756, Istituto per il Rilevamento Elettromagnetico dell'Ambiente) |
| Year | 2021 |
| Volume | 10 |
| Issue | 5 |
| Pages | 330 |
| Publication date | 2021-05-13 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | ISPRS International Journal of Geo-Information (JOURNAL) |
| Journal identifiers | ISSN: 2220-9964 • E-ISSN: 2220-9964 |
| Publisher | MDPI AG (PUBLISHER • IT) |
| DOI | 10.3390/ijgi10050330 |
| OpenAlex | W3160891868 |
| Language | EN |
| Citations received | 3 |
| References cited | 154 |
Distinct, alternative forms of geosemantics, whose classification is often ill-defined, emerge in the management of geospatial information. This paper proposes a workflow to identify patterns in the different practices and methods dealing with geoinformation. From a meta-review of the state of the art in geosemantics, this paper first pinpoints “keywords” representing key concepts, challenges, methods, and technologies. Then, we illustrate several case studies, following the categorization into implicit, formal, and powerful (i.e., soft) semantics depending on the kind of their input. Finally, we associate the case studies with the previously identified keywords and compute their similarities in order to ascertain if distinguishing methodologies, techniques, and challenges can be related to the three distinct forms of semantics. The outcomes of the analysis sheds some light on the diverse methods and technologies that are more suited to model and deal with specific forms of geosemantics
Categorization · Data science · Database · Geographic information system · Geography · Geospatial analysis · Information retrieval · Programming language · Workflow · Computer Science · Data Management and Algorithms · Geographic Information Systems Studies · Semantic Web and Ontologies · Artificial Intelligence
The Philosophy of GIS
WordNet
The Stanford CoreNLP Natural Language Processing Toolkit
Extracting and understanding urban areas of interest using geotagged photos
The Semantic Web
The Fair Guiding Principles for scientific data management and stewardship
Describing place through user generated content
From taxonomies to ontologies
An ontology-driven multi-agent system for nautical chart generalization
Formalization Matters
| Citations per year | 0.6 |
|---|---|
| Citation span | 2021 - 2023 (3) |
| Highly cited | No |