In recent years, the amount of structured RDF data available on the Web has been increasing rapidly. Efficient query processing that can scale to large amounts of RDF data has become an important topic. Significant efforts have been dedicated to the development of solutions for RDF data management

There are already several tools available that are capa-ble of visualizing RDF data. The problem with RDF data is that they tend to be very large. To handle the data, the vi-sualizers cannot display the whole data but rather need to use some kind of navigation. This paper describes our ap

RDF and RDFS have recently become very popular as frameworks for representing data and meta-data in form of a domain description, respectively. RDF data can also be thought of as graph data. In this paper, we focus on keywordbased querying of RDF data represented as a graph. Existing approaches

The Resource Description Framework (RDF) allows describing metadata in an interoperable way. It is the basis for promising work in the area of the Semantic Web. This paper assesses how much and what kind of RDF data was found on the web in December 2001 and in August 2002. Four search strategies

The semantic Web provides a common framework that allows data to be shared and reused across applications, enterprises, and community boundaries. It is based on the Resource Description Framework (RDF), which is intended to provide a simple way to make statements (triples) about resources. RDF

We present Paged Graph Visualization (PGV), a new semiautonomous tool for RDF data exploration and visualization. PGV consists of two main components: a) the “PGV explorer” and b) the “RDF pager ” module utilizing BRAHMS, our high performance main-memory RDF storage system. Unlike existing graph

Abstract. Linked Open Data (LOD) sources on the Web are increas-ingly becoming more popular. RDF constraints can be used to charac-terize the RDF graphs being provided by such sources. For applications that process data retrieved from several of such RDF graphs it becomes interesting to analyze

resources and relations among them. The Resource Description Framework (RDF) has been introduced by the W3C as a data model for annotations. RDF encodes information in triples consisting of subject, predicate, and object. A triple specifically describes one property of the subject, given by the object

Abstract. UnifiedViews is an Extract-Transform-Load (ETL) frame-work that allows users – publishers, consumers, or analysts – to define, execute, monitor, debug, schedule, and share RDF data processing tasks. The data processing tasks may use custom plugins created by users. UnifiedViews differs

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