Matches in ScholarlyData for { ?s ?p RDF is the metadata model of choice in the Semantic Sensor Web. However, RDF can only represent thematic metadata and needs to be extended if we want to model spatial and temporal information. For this purpose, we develop the data model stRDF and the query language stSPARQL. stRDF is a constraint data model that extends RDF with the ability to represent spatial and temporal data. stSPARQL extends SPARQL so that spatial and temporal data can be queried using a declarative and user-friendly language. We follow the main ideas of spatial and temporal constraint databases and represent spatial objects as quantifier-free formulas in a first-order logic of linear constraints. The main contribution of stRDF is to bring to the RDF world the benefits of constraint databases and constraint-based reasoning so that spatial and temporal data can be represented in RDF using constraints. In this paper, we present the syntax and semantics of stRDF and stSPARQL and discuss some details of our in-progress implementation.. }
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- 1 abstract "RDF is the metadata model of choice in the Semantic Sensor Web. However, RDF can only represent thematic metadata and needs to be extended if we want to model spatial and temporal information. For this purpose, we develop the data model stRDF and the query language stSPARQL. stRDF is a constraint data model that extends RDF with the ability to represent spatial and temporal data. stSPARQL extends SPARQL so that spatial and temporal data can be queried using a declarative and user-friendly language. We follow the main ideas of spatial and temporal constraint databases and represent spatial objects as quantifier-free formulas in a first-order logic of linear constraints. The main contribution of stRDF is to bring to the RDF world the benefits of constraint databases and constraint-based reasoning so that spatial and temporal data can be represented in RDF using constraints. In this paper, we present the syntax and semantics of stRDF and stSPARQL and discuss some details of our in-progress implementation.".