On april 25 2014 we had a knowledge session on Virtuoso Details virtuoso webinar on 25 april. This page contains the questions and answers.
See also: LinkedIn item: Vragen over Virtuoso voor kennisoverdracht LOD2
Semantic Web Company (SWC) is a technology provider headquartered in Vienna (Austria). SWC supports organizations from all industrial sectors worldwide to improve their information management. Our core product PoolParty has outstanding capabilities to extract meaning from big data by making use of linked data technologies.
The LOD2 Stack has been renamed to the Linked Data Stack in 2014. The LOD2 Stack comprises a number of tools for managing the life-cycle of Linked Data. The life-cycle comprises in particular the stages: 1) Extraction of RDF from text, XML and SQL,2) Querying and Exploration using SPARQL, 3) Authoring of Linked Data using a Semantic Wiki, 4) Semi-automatic link discovery between Linked Data sources, 5) Knowledge-base Enrichment and Repair
The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage. Rather than rely on hardware to deliver high-availability, the library itself is designed to detect and handle failures at the application layer, so delivering a highly-available service on top of a cluster of computers, each of which may be prone to failures.The project includes these modules: 1) Hadoop Common: The common utilities that support the other Hadoop modules. 2) Hadoop Distributed File System (HDFS™): A distributed file system that provides high-throughput access to application data. 3) Hadoop YARN: A framework for job scheduling and cluster resource management. 4) Hadoop MapReduce: A YARN-based system for parallel processing of large data sets.
R2RML is a language for expressing customized mappings from relational databases to RDF datasets. Such mappings provide the ability to view existing relational data in the RDF data model, expressed in a structure and target vocabulary of the mapping author's choice. R2RML mappings are themselves RDF graphs and written down in Turtle syntax. R2RML enables different types of mapping implementations. Processors could, for example, offer a virtual SPARQL endpoint over the mapped relational data, or generate RDF dumps, or offer a Linked Data interface.
De activiteiten van Platform Linked Data Nederland (PLDN) worden mede mogelijk gemaakt dankzij het Kadaster, TNO, Big Data Value Center (BDVC), ECP, Forum Standaardisatie, Kennisnet, SLO, Waternet, Taxonic, MarkLogic, Triply, Franz Inc., SemmTech, Rijksdienst voor het Cultureel Erfgoed (RCE), Beeld en Geluid, EuroSDR, de KVK en ArchiXL
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