Abstract. RDF will often be the metadata model of choice in the Se-mantic Sensor Web. However, RDF can only represent thematic meta-data 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 for querying stRDF data. In our extension to RDF, we follow the main ideas of constraint databases and represent spatial and temporal objects as quantifier-free formulas in a first-order logic of linear constraints. Thus an important 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 rep-resented in RDF using constraints. 1

Abstract. The recent availability of geospatial information as linked open data has generated new interest in geospatial query processing and reasoning, a topic with a long tradition of research in the areas of databases and artificial intelligence. In this paper we survey recent ad-vances in this important research topic, concentrating on issues of data modeling and querying. 1

1.2 Relational Databases and Embedded Finite Models.......... 2

Abstract not found