XML has become the de facto standard for representing and accessing data on the Web. At the same time RDF is becoming more and more popular for representing metadata. While RDF also has an XML-based syntax, storage and query technologies for the two formats are not compatible due to differences in the data model. This is a potential problem when trying to query data that combine XML data with R...

Management and recognition of event patterns is becoming thoroughly ingrained in many application areas of Semantically enabled Complex Event Processing (SCEP). However, the reliance of state-of-the-art technologies on relational and RDF triple model without having the notion of time has severe limitations. This restricts the system to employ temporal reasoning at RDF level and use historical e...

Despite the intense interest towards realizing the Semantic Web vision, most existing RDF data management schemes are constrained in terms of efficiency and scalability. Still, the growing popularity of the RDF format arguably calls for an effort to offset these drawbacks. Viewed from a relationaldatabase perspective, these constraints are derived from the very nature of the RDF data model, whi...

Resource description framework, RDF, is a standard language model for representing semantic data. As the concept of Semantic Web becomes more viable, the ability to retrieve and exchange semantic data will become increasingly more important. Efficient management of RDF data is one of the key research issues in Semantic Web; consequently, many RDF management systems have been proposed with data ...

XML is the W3C standard document format for writing and exchanging information on the Web. RDF is the W3C standard model for describing the semantics and reasoning about information on the Web. Unfortunately, RDF and XML—although very close to each other—are based on two different paradigms. We argue that in order to lead the Semantic Web to its full potential, the syntax and the semantics of i...

Most of the current structured data in the world lives in relational Data bases (RDB). But statisticians and practitioners sooner or later will find themselves dealing with a different kind of structured representations in the Resource Description Framework (RDF). The logical evolution of the current Web of documents into a Web of Data (and ultimately a Semantic Web) requires mapping of vast qu...

RDF Stream Processing (RSP) is gaining momentum. The RDF stream data model is progressively adopted and many SPARQL extensions for continuous querying are converging into a unified RSP query language. However, the RSP community still has to investigate when transforming data streams in RDF streams pays off. In this paper, we report on several experiments on a revolutionized version of our Strea...

Managing the lifecycle of RDF datasets is a cumbersome activity. Substantial efforts are spent on reproducing datasets over time. But, these efforts can be reduced by a data management workflow framework. We present the Linked Data Workflow Project ontology as the knowledge model for such a workflow framework. The ontology is centered on the Plan, Method, and Execution classes, facilitating the...

Bibliographic description in emerging library standards is embracing a multi-entity model that describes varying levels of abstraction from the conceptual work to the physical item. Three of these multi-entity models have been published as vocabularies using the Semantic Web standard Resource Description Framework (RDF): FRBR, RDA, and BIBFRAME. The authors test RDF data based on the three voca...

The maturation of semantic web standards and associated web-based data representations like schema.org have made RDF a popular model for representing graph data and semi-structured knowledge. However, most existing SPARQL endpoint supports simple access control mechanism preventing its use for many applications. To protect the data stored in RDF stores, we describe a framework to support attrib...