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One promise of Semantic Web applications is to seamlessly deal with heterogeneous data. The Extensible Markup Language (XML) has become widely adopted as an almost ubiquitous interchange format for data, along with transformation languages like XSLT and XQuery to translate data from one XML format into another. However, the more recent Resource Description(More)
SPARQL 1.1 supports the use of ontologies to enrich query results with logical entailments, and OWL 2 provides a dedicated fragment OWL QL for this purpose. Typical implementations use the OWL QL schema to rewrite a conjunctive query into an equivalent set of queries, to be answered against the non-schema part of the data. With the adoption of the recent(More)
XSPARQL is a language to transform data between the tree-based XML format and the graph-based RDF format. XML is a widely adopted data exchange format which brings its own query language XQuery along. RDF is the standard data format of the Semantic Web with SPARQL being the corresponding query language. XSPARQL combines XQuery and SPARQL to a unified query(More)
XSPARQL is a transformation and query language that caters for heterogenous sources: in its present status it is possible to transform data between XML and RDF formats due to the integration of the XQuery and SPARQL query languages. In this paper we propose an extension of the XSPARQL language to incorporate data contained in relational databases by(More)
Access to high quality and recent data is crucial both for decision makers in cities as well as for the public. Likewise, infrastructure providers could offer more tailored solutions to cities based on such data. However, even though there are many data sets containing relevant indicators about cities available as open data, it is cumbersome to integrate(More)
On the Web and in corporate environments there exists a lot of data in various formats. XQuery and XSLT serve as query and transformation languages for XML. But as RDF also becomes a mainstream format for Web of data, transformations languages between these formats are required. XSPARQL is a hybrid language that provides an integration framework for XML,(More)
Having access to high quality and recent data is crucial both for decision makers in cities as well as for informing the public, likewise, infrastructure providers could offer more tailored solutions to cities based on such data. However , even though there are many data sets containing relevant indicators about cities available as open data, it is(More)
Some cities publish data in an open form. But even more cities can profit from the data that is already available as open or linked data. Unfortunately open data of different sources is usually given also in different heterogeneous data formats. With the City Data Pipeline we aim to integrate data about cities in a common data model by using Semantic Web(More)