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Auflistung nach Schlagwort "Linked data"

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  • Zeitschriftenartikel
    An Overview on Execution Strategies for Linked Data Queries
    (Datenbank-Spektrum: Vol. 13, No. 2, 2013) Hartig, Olaf
    The publication of Linked Open Data on the Web has gained tremendous momentum over the last five years. This development makes possible (and interesting) the execution of queries using up-to-date data from multiple, automatically discovered data sources. As a result, we currently witness the emergence of a new research area that focuses on an online execution of Linked Data queries; i.e. queries that range over data that is made available using the Linked Data publishing principles.This article provides a general overview on this new area. In particular, we introduce the specific challenges that need to be addressed and then focus on possible strategies for executing Linked Data queries. Furthermore, we classify approaches proposed in the literature w.r.t. these strategies.
  • Zeitschriftenartikel
    Enriching Linked Data with Semantics from Domain-Specific Diagrammatic Models
    (Business & Information Systems Engineering: Vol. 58, No. 5, 2016) Buchmann, Robert A.; Karagiannis, Dimitris
    One key driver of the Linked Data paradigm is the ability to lift data graphs from legacy systems by employing various adapters and RDFizers (e.g., D2RQ for relational databases, XLWrap for spreadsheets). Such approaches aim towards removing boundaries of enterprise data silos by opening them to cross-organizational linking within a “Web of Data”. An insufficiently tapped source of machine-readable semantics is the underlying graph nature of diagrammatic conceptual models – a kind of information that is richer compared to what is typically lifted from table schemata, especially when a domain-specific modeling language is employed. The paper advocates an approach to Linked Data enrichment based on a diagrammatic model RDFizer originally developed in the context of the ComVantage FP7 research project. A minimal but illustrative example is provided from which arguments will be generalized, leading to a proposed vision of “conceptual model”-aware information systems.
  • Zeitschriftenartikel
    Semantic Web: State of the Art and Adoption in Corporations
    (KI - Künstliche Intelligenz: Vol. 30, No. 2, 2016) Peinl, René
    The Semantic Web has matured from a vision and research area of a few AI specialists to an important technology being used in a large number of research and a few practice projects. Most building blocks of the Semantic Web stack are filled with concrete technologies and W3C standards, but there are still enough areas for research. However, even with existing technologies, the potential of semantic applications within corporations is not yet fully harnessed as the adoption of Semantic Web technologies lacks behind other technologies like NoSQL databases or Web 2.0 technologies. This paper reviews the state of the art of Semantic Web technologies, discusses important terms and developments as well as currently active research streams. It further analyses available tools and applications with a focus on corporate scenarios and open source software and concludes with the suggestion of an architecture for a corporate semantic intranet.
  • Zeitschriftenartikel
    The Linked Data Benchmark Council Project
    (Datenbank-Spektrum: Vol. 13, No. 2, 2013) Boncz, Peter; Fundulaki, Irini; Gubichev, Andrey; Larriba-Pey, Josep; Neumann, Thomas
    Despite the fast growth and increasing popularity, the broad field of RDF and Graph database systems lacks an independent authority for developing benchmarks, and for neutrally assessing benchmark results through industry-strength auditing which would allow to quantify and compare the performance of existing and emerging systems.Inspired by the impact of the Transaction Processing Performance Council (TPC) Benchmarks on relational databases, the LDBC consortium formed by University and Industry researchers and practitioners has recently launched a European Commision sponsored project that will offer the first comprehensive set of open and vendor-independent benchmarks for RDF and Graph technologies. The consortium will incorporate the Linked Data Benchmark Council (LDBC) which will survive the project and will supervise the process of obtaining and reporting results as well as fostering the creation and maintenance of new and existing benchmarks. This paper describes the state-of-the-art benchmarks in RDF and Graph databases and overviews the technical challenges that should be addressed in the development of such benchmarks. With this paper we would like to invite the readers to participate in the LDBC effort towards the development of Linked Data Benchmarks, both from the user prospective (by sharing available usage scenarios, datasets, query workloads) and the vendor perspective (by reporting the results of systems and research prototypes).