Publications
Aligning ontologies of geospatial linked data
Abstract
The Web of Linked Data is characterized by linking structured data from different sources using equivalence statements, such as owl: sameAs, as well as other types of linked properties. However, the ontologies behind these sources are not linked. The work described in this paper aims at providing alignments between these ontologies by using an extensional approach. We look at geospatial data sources on the Web of Linked Data and provide equivalence and subsumption relationships between the classes from these ontologies after building hypotheses that are supported by owl: sameAs links. We are able to model one geospatial source in terms of the other by aligning the two ontologies and thus understand the semantic relationships between the two sources.
Metadata
- publication
- Workshop On Linked Spatiotemporal Data, in conjunction with the 6th …, 2010
- year
- 2010
- publication date
- 2010/9/14
- authors
- Rahul Parundekar, Craig A Knoblock, José Luis Ambite
- link
- https://www.academia.edu/download/30757435/paper1.pdf
- resource_link
- https://www.academia.edu/download/30757435/paper1.pdf
- journal
- Workshop On Linked Spatiotemporal Data, in conjunction with the 6th International Conference on Geographic Information Science (GIScience 2010). Zurich, 14th September.(forthcoming 2010)