Next Article in Journal
A Framework for Data-Centric Analysis of Mapping Activity in the Context of Volunteered Geographic Information
Next Article in Special Issue
Research Data Management Training for Geographers: First Impressions
Previous Article in Journal
Towards an Automatic Ice Navigation Support System in the Arctic Sea
Previous Article in Special Issue
The Strategy for the Development of the Infrastructure for Spatial Information in the Czech Republic
Open AccessArticle

Semantic Specification of Data Types for a World of Open Data

Tetherless World Constellation, Rensselaer Polytechnic Institute, 110 8th Street, Troy, NY 12180, USA
Author to whom correspondence should be addressed.
Academic Editors: Constanze Curdt, Christian Willmes, Georg Bareth and Wolfgang Kainz
ISPRS Int. J. Geo-Inf. 2016, 5(3), 38;
Received: 10 December 2015 / Revised: 25 February 2016 / Accepted: 8 March 2016 / Published: 16 March 2016
(This article belongs to the Special Issue Research Data Management)
Data interoperability is an ongoing challenge for global open data initiatives. The machine-readable specification of data types for datasets will help address interoperability issues. Data types have typically been at the syntactical level such as integer, float and string, etc. in programming languages. The work presented in this paper is a model design for the semantic specification of data types, such as a topographic map. The work was conducted in the context of the Semantic Web. The model differentiates the semantic data type from the basic data type. The former are instances (e.g., topographic map) of a specific data type class that is defined in the developed model. The latter are classes (e.g., Image) of resource types in existing ontologies. A data resource is an instance of a basic data type and is tagged with one or more specific data types. The implementation of the model is given within an existing production data portal that enables one to register specific data types and use them to annotate data resources. Data users can obtain explicating assumptions or information inherent in a dataset through the specific data types of that dataset. The machine-readable information of specific data types also paves the way for further studies, such as dataset recommendation. View Full-Text
Keywords: semantics; ontology; persistent identifier; linked data; faceted browser semantics; ontology; persistent identifier; linked data; faceted browser
Show Figures

Graphical abstract

MDPI and ACS Style

Ma, X.; Erickson, J.S.; Zednik, S.; West, P.; Fox, P. Semantic Specification of Data Types for a World of Open Data. ISPRS Int. J. Geo-Inf. 2016, 5, 38.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

Back to TopTop