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Tag Archives: large datasets
More Complete Resultset Retrieval from Large Heterogeneous RDF Sources
Over recent years, the Web of Data has grown significantly. Various interfaces such as LOD Stats, LOD Laundromat and SPARQL endpoints provide access to hundreds of thousands of RDF datasets, representing billions of facts. These datasets are available in different … Continue reading
Posted in paper presentation, Papers
Tagged k-cap2019, large datasets, wimuq
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AKSW Colloquium, 03.04.2017, RDF Rule Mining
At the AKSW Colloquium, on Monday 3rd of April 2017, 3 PM, Tommaso Soru will present the state of his ongoing research titled “Efficient Rule Mining on RDF Data”, where he will introduce Horn Concerto, a novel scalable SPARQL-based approach … Continue reading
Posted in Colloquium, LinkingLOD, paper presentation
Tagged big data, data mining, large datasets, linked data, ontologies, RDF
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The USPTO Linked Patent Dataset release
Dear all, We are happy to announce USPTO Linked Patent Dataset release. Patents are widely used to protect intellectual property and a measure of innovation output. Each year, the USPTO grants over 150, 000 patents to individuals and companies all … Continue reading
Posted in Dataset Release
Tagged large datasets, linked data, ontologies, patent
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AKSW Colloquium, 07.03.2016, Regular Path Queries on Large Graphs
In this week’s Colloquium, today 7th of March at 3 PM, Claus Stadler will present the paper by Koschmieder et al. titled “Regular Path Queries on Large Graphs” [PDF]. Abstract The significance of regular path queries (RPQs) on graph-like data structures … Continue reading
Posted in Colloquium, paper presentation
Tagged graph processing, large datasets, regular path queries
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AKSW Colloquium, 15-06-2015, Caching for Link Discovery
Using Caching for Local Link Discovery on Large Data Sets [PDF] by Mofeed Hassan Engineering the Data Web in the Big Data era demands the development of time- and space-efficient solutions for covering the lifecycle of Linked Data. As shown … Continue reading
Posted in Colloquium, LIMES, Papers
Tagged caching, large datasets, LIMES, Link Discovery
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