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Mapping between RDF and XML with XSPARQL
TLDR
The XSPARQL language is presented, by combining XQuery and SPARQL, that allows to query XML and RDF data using the same framework and transform data from one format into the other. Expand
RDFS with Attribute Equations via SPARQL Rewriting
TLDR
This work provides an arguably more flexible framework that treats attribute equations as first class citizens in the ontology language by extending query rewriting techniques already successfully applied for ontology languages such as RDFS or OWL. Expand
On the Semantics of Heterogeneous Querying of Relational, XML and RDF Data with XSPARQL
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 theExpand
Schema-Agnostic Query Rewriting in SPARQL 1.1
TLDR
A new method of schema-agnostic query rewriting is developed, where arbitrary conjunctive queries over OWLaQL are rewritten into equivalent SPARQLa1.1 queries in a way that is fully independent of the actual schema. Expand
Collecting, Integrating, Enriching and Republishing Open City Data as Linked Data
TLDR
A platform for collecting, integrating, and enriching open data about cities in a reusable and comparable manner is presented and approaches for predicting missing values are presented, where standard regression methods in combination with principal component analysis PCA are used to improve quality and amount of predicted values. Expand
Querying the Web of Data with XSPARQL 1.1
TLDR
The latest open source release of the XSParQL engine is presented, which is based on standard software components (Jena and Saxon) and possible applications of XSPARQL 1.1 are outlined to address Web data integration use cases. Expand
RDF and XML: Towards a unified query layer
TLDR
One of the requirements of current Semantic Web applications is to deal with heterogeneous data and being able to work with both XML and RDF data using a common framework would be a great advantage and eliminate unnecessary intermediate steps that are currently used when handling both formats. Expand
Enriching integrated statistical open city data by combining equational knowledge and missing value imputation
TLDR
A focused attempt to collect, integrate, and enrich statistical data collected at city level worldwide, and re-publish the resulting dataset in a re-useable manner as Linked Data. Expand
Semantic Modelling of Smart City Data
TLDR
Examples of data that can be collected from cities are presented, issues around this data are discussed, and some preliminary thoughts for creating a semantic description model to describe and help discover, index and query smart city data are put forward. Expand
Integrating Distributed Configurations With RDFS and SPARQL
TLDR
This paper describes the experience with using standard Semantic Web technologies (RDFS and SPARQL) for data integration and reasoning in large interconnected technical systems. Expand
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