A complex relationship between two resources in an RDF graph. Semantic Associations can be a path connecting the resources or two similar paths in which the resources are involved.
Published in Chapter:
Geospatial and Temporal Semantic Analytics
Matthew Perry (University of Georgia, USA), Amit Sheth (University of Georgia, USA), Ismailcem Budak Arpinar (University of Georgia, USA), and Farshad Hakimpour (University of Georgia, USA)
Copyright: © 2009
|Pages: 10
DOI: 10.4018/978-1-59140-995-3.ch021
Abstract
The amount of digital data available to researchers and knowledge workers has grown tremendously in recent years. This is especially true in the geography domain. As the amount of data grows, problems of data relevance and information overload become more severe. The use of semantics has been proposed to combat these problems (Berners-Lee et al., 2001; Egenhofer, 2002). Semantics refer to the meaning of data rather than its syntax or structure. Systems which can understand and process data at a semantic level can achieve a higher level of automation, integration, and interoperability. Applications generally use semantic technology for three basic purposes: (1) semantic integration, (2) semantic search and contextual browsing, and (3) semantic analytics and knowledge discovery (Sheth & Ramakrishnan, 2003).