Concept Expansion Using Web Tables by Chi Wang, Kaushik Chakrabarti, Yeye He,Kris Ganjam, Zhimin Chen, Philip A. Bernstein (WWW’2015), presented by Ivan Ermilov: Abstract. Read more about "AKSW Colloquium, 22-06-2015, Concept Expansion Using Web Tables, Mining entities from the Web, Linked Data Stack"
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. Read more about "AKSW Colloquium, 15-06-2015, Caching for Link Discovery"
DBpediaSameAs: An approach to tackling heterogeneity in DBpedia identifiers by Andre Valdestilhas This work provides an approach to tackle heterogeneity about a problem where several transient owl:sameAs redundant occurrences were found in DBpedia identifiers during searching for owl:sameAs occurrences that … Continue reading → Read more about "AKSW Colloquium, 08-06-2015, DBpediaSameAs, Dynamic-LOD"
Smart Data Web, a new BMWi funded project kicked-off in Berlin. Central goal of Smart Data Web is leveraging state-of-the-art data extraction and enrichment technologies as well as Linked Data to create value-added systems for German industry. Read more about "Smart Data Web project kick-off"
MEX – Publishing ML Experiment Results by Diego Esteves Over the decades many machine learning experiments have been published, collaborating with the scientific community progress. Read more about "AKSW Colloquium, 01-06-2015, MEX – Publishing ML Experiment Results, Scaling DL-Learner – Status and Plans"