Lars Harrie
Professor
Modeling and improving Spatial Data Infrastructure (SDI)
Author
Summary, in English
Developing a collaborative platform such as SDI would highlight the differences among stakeholders including the heterogeneous data they produce and share. This makes the reuse of spatial data difficult mainly because the shared data need to be integrated with other datasets and used in applications that differ from those originally produced for. The integration of authoritative data and Volunteered Geographic Information (VGI), which has a lower level structure and production standards, is a new, challenging area. The second part of this study focuses on proposing techniques to improve the matching and integration of spatial datasets. It is shown that the proposed solutions, which are based on pattern recognition and ontology, can considerably improve the integration of spatial data in SDIs and enable the reuse or multipurpose usage of available data resources.
Department/s
- Dept of Physical Geography and Ecosystem Science
Publishing year
2016
Language
English
Full text
Document type
Dissertation
Publisher
Lund University, Faculty of Science, Department of Physical Geography and Ecosystem Science
Topic
- Physical Geography
Keywords
- Spatial Data Infrastructure
- System Dynamics
- Fuzzy Logic
- Data integration
- Pattern detection
- Resource Description Framework (RDF)
- Ontology
Status
Published
Project
- Modeling and improving Spatial Data Infrastructure (SDI)
Supervisor
- Ali Mansourian
- Lars Harrie
ISBN/ISSN/Other
- ISBN: 978-91-85793-66-2
- ISBN: 978-91-85793-65-5
Defence date
18 November 2016
Defence time
10:00
Defence place
Geocentre II, lecture hall “Pangea”, Sölvegatan 12, Lund
Opponent
- Mike Jackson (Professor)