Category Archives: Projects

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, 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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SAKE Projekt website goes live

Hi all! The project website for the BMWi funded Smart Data Web Project “SAKE” is now on-line at www.sake-projekt.de. It already mentions the first SAKE-related publication by Saleem@AKSW and introduces our partners as well as the industry use cases which … Continue reading

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AKSW Colloquium: Edgard Marx and Tommaso Soru on Monday, February 23, 3.00 p.m.

On Monday, 23rd of February 2015, Edgard Marx will introduce Smart, a search engine designed over the Semantic Search paradigm; subsequently, Tommaso Soru will present ROCKER, a refinement operator approach for key discovery. EDIT: Tommaso Soru’s presentation was moved to … Continue reading

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DL-Learner 1.0 (Supervised Structured Machine Learning Framework) Released

Dear all, we are happy to announce DL-Learner 1.0. 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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Writing a Survey – Steps, Advantages, Limitations and Examples

What is a Survey? A survey or systematic literature review is a text of a scholarly paper, which includes the current knowledge including substantive findings, as well as theoretical and methodological contributions to a particular topic. Literature reviews use secondary … Continue reading

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Kick-Off for the BMWi project SAKE

Hi all! One of AKSW’s Big Data Project, SAKE – Semantische Analyse Komplexer Ereignisse (SAKE – Semantic Analysis of Complex Events) kicked-off in Karlsruhe. SAKE is one of the winners of the Smart Data Challenge and is funded by the … Continue reading

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Two AKSW Papers at #WWW2015 in Florence, Italy

Hello Community! We are very pleased to announce that two of our papers were accepted for presentation at WWW 2015.  The papers cover novel approaches for Key Discovery while Linking Ontologies and a benchmark framework for entity annotation systems. In … Continue reading

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