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Category Archives: LinkingLOD
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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AKSW Colloquium, 15.02.2016, Mandolin + X-Feasible
On the 15th of February at 3 PM, Tommaso Soru will present his ongoing research titled “Mandolin: Markov Logic Networks for Discovering Links”. Later on, at 3:30 PM, our guest Adnan Akhter from HFT Stuttgart will present “X-FEASIBLE: Extended Feature-Based … Continue reading
Posted in Colloquium, invited talk, LinkingLOD, paper presentation
Tagged benchmarks, entity linking, Link Discovery, linked data, Papers, statistical relational learning
Comments Off on AKSW Colloquium, 15.02.2016, Mandolin + X-Feasible