Category Archives: Announcements

DL-Learner 1.1 (Supervised Structured Machine Learning Framework) Released

Dear all, we are happy to announce DL-Learner 1.1. DL-Learner is a framework containing algorithms for supervised machine learning in RDF and OWL. DL-Learner can use various RDF and OWL serialization formats as well as SPARQL endpoints as input, can … Continue reading

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AKSW Colloquium, 20-07-2015, Enterprise Linked Data Networks

Enterprise Linked Data Networks (PhD progress report) by Marvin Frommhold The topic of the thesis is the scientific utilization of the LUCID research project, in particular the LUCID Endpoint Prototype. In LUCID we research and develop on Linked Data technologies in order to … Continue reading

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AKSW Colloquium, 13-07-2015

Philipp Frischmuth will give a brief presentation regarding the current state of his PhD thesis and Lukas Eipert will present the topic of his upcoming internship: As part of an internship at eccenca a configurable graphical RDF editor will be … Continue reading

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AKSW Colloquium, 22-06-2015, Concept Expansion Using Web Tables, Mining entities from the Web, Linked Data Stack

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. We study the following problem: given the name of an ad-hoc concept as well as a … Continue reading

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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

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AKSW Colloquium, 08-06-2015, DBpediaSameAs, Dynamic-LOD

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

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Smart Data Web project kick-off

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. Knowledge relevant to … Continue reading

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AKSW Colloquium, 01-06-2015, MEX – Publishing ML Experiment Results, Scaling DL-Learner – Status and Plans

MEX – Publishing ML Experiment Results by Diego Esteves Over the decades many machine learning experiments have been published, collaborating with the scientific community progress. One of the key-factors in order to compare machine learning experiment results to each other … Continue reading

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AKSW Colloquium, 18-05-2015, Multilingual Morpheme Ontology, Personalised Access and Enrichment of Linked Data Resources

MMoOn – A Multilingual Morpheme Ontology by Bettina Klimek In the last years a rapid emergence of lexical resources evolved in the Semantic Web. Whereas most of the linguistic information is already machine-readable, we found that morphological information is either absent … Continue reading

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Invited talk @AIMS webinar series

On 5th of May Ivan Ermilov on behalf of AKSW presented CKAN data catalog as a part of AIMS (Agricultural Information Management Standards) webinar series. The recording and the slides of the webinar “CKAN as an open-source data management solution … Continue reading

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