With more and more applications providing semantic data to improve interoperability, the amount of available RDF datasets is constantly increasing. The SPARQL query language is a W3C recommendation to provide query capabilities on such RDF datasets. Yet as the coverage of RDF datasets with efficient and available SPARQL endpoints is still limited, integration of data from different RDF sources is a bottleneck that has mostly to be done in RDF consuming clients. We tackle this bottleneck by introducing SPARQ λ , an extension to the SPARQL 1.1 query language. SPARQ λ enables dynamic injection of RDF datasets during evaluation of the query, and by this lifts SPARQL to a tool to write templates for RDF producing functions in functional programming style. This is an important step to reduce the effort to write SPARQL queries that work on data from various sources. SPARQ λ is moreover suitable to directly translate to an RDF described Web service interface, which allows to lift integration of data and re-provisioning of integrated results from clients to cloud environments.

Although mereotopological relationship theories and their qualification problems have been extensively studied in R-2, the qualification of mereotopological relations in R-3 remains challenging. This is due to the limited availability of topological operators and high costs of boundary intersection tests. In this paper, a novel qualification technique for mereotopological relations in R-3 is presented. Our technique rapidly computes RCC-8 base relations using precomputed signed distance fields, and makes no assumptions with regards to complexity or representation method of the spatial entities under consideration.

With more and more applications providing semantic data to improve interoperability, the amount of available RDF datasets is constantly increasing. The SPARQL query language is a W3C recommendation to provide query capabilities on such RDF datasets. Data integration from different RDF sources is up to now mostly task of RDF consuming clients. However, from a functional perspective, data integration boils down to a function application that consumes input data as parameters, and based on these, produces a new set of data as output. Following this notion, we introduce SPARQ λ , an extension to the SPARQL 1.1 query language. SPARQ λ enables dynamic injection of RDF datasets during evaluation of the query, and by this lifts SPARQL to a tool to write templates for RDF producing functions, an important step to reduce the effort to write SPARQL queries that work on data from various sources. SPARQ λ is moreover suitable to directly translate to an RDF described Web service interface, which allows to lift integration of data and re-provisioning of integrated results from clients to cloud environments, and by this solving the bottleneck of RDF data integration on client side.

The use of autonomous robots in both industry and every day life has increased significantly in the recent years. A growing number of robots is connected to and operated from networks, including the World Wide Web. Consequently, the Robotics community is exploring and adopting REST (Representational State Transfer) architectural principles and considers the use of Linked Data technologies as fruitful next step. However, we observe a lack of concise and stable specifications of how to properly leverage the RESTful paradigm and Linked Data concepts in the Robotics domain. Introducing the notion of Linked Robotic Things, we provide a minimalistic, yet well-defined specification covering a minimal set of requirements with respect to the use of HTTP and RDF.