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Category Archives: PhD topic
DBpedia Knowledge Engineering PhD Symposium
Dear all, We are excited to invite you to the 1st DBpedia Knowledge Engineering PhD Symposium, organized on July 6th, 2022 in Leipzig, Germany. The DBpedia Knowledge Engineering PhD Symposium will be held on the third day of the week-long … Continue reading
Posted in dbpedia, Events, PhD topic
Tagged DBpedia, knowledge engineering, linked data, phd, Semantic Web, symposium
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AKSW Colloquium, 23.01.2017, Automatic Mappings of Tables to Knowledge Graphs and Open Table Extraction
Automatic Mappings of Tables to Knowledge Graphs and Open Table Extraction On the upcoming colloquium on 23.01.2017, Ivan Ermilov will present his work on automatic mappings of tables to knowledge graphs, which was published as TAIPAN: Automatic Property Mapping for Tabular … Continue reading
Posted in Colloquium, PHD progress report, PhD topic
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AKSW Colloquium, 09.05.2016: Hebrew MMoOn inventory, federated SPARQL query processing
In this week’s colloquium Bettina Klimek will give a practice talk of the paper ‘Creating Linked Data Morphological Language Resources with MMoOn – The Hebrew Morpheme Inventory‘, which she will present at the LREC conference 2016, 23-28 May 2016, Slovenia, … Continue reading
Posted in Colloquium, paper presentation, PHD thesis defense practise
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AKSW Colloquium, 30-11-2015, SCARO + Large-scale multilingual knowledge extraction & quality assessment
On November 30 at 3 PM, Klaus Lyko (right) will present SCARO. Afterwards, Dimitris Kontokostas (left) will present the progress of his PhD thesis “Large-scale multilingual knowledge extraction & quality assessment”. About the AKSW Colloquium This event is part of … Continue reading
Posted in Colloquium, PHD progress report
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AKSW Colloquium, 09-11-2015, Versioning of Arbitrary RDF Data (PhD progress report) and GraphLab Platform
GraphLab Platform – Overview and History by Simon Bin GraphLab is a graph-based distributed computation framework. It was developed from 2009 at Carnegie Mellon University. At that time it was competing with Hadoop on Graph processing. The typical example algorithm demonstrated … Continue reading
Posted in Colloquium, LEDS, LUCID, PHD progress report
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AKSW Colloquium, 14 September, 3pm, Learning Metrics for Link Discovery
In this Colloquium, Tommaso Soru will present the progress of his PhD titled “Learning Metrics for Link Discovery”. The discovery of new links is essential for the construction of the Linked Data cloud. The use of links to other URIs … Continue reading
Posted in Colloquium, LIMES, PHD progress report, PhD topic
Tagged key discovery, Link Discovery, Machine Learning
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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
Posted in Colloquium, LUCID, PHD progress report
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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
Posted in Colloquium, invited talk, PHD progress report
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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
Posted in Announcements, Colloquium, LIMES, paper presentation, PHD progress report
Tagged key discovery, LIMES, linked data, Machine Learning, qa, question answering, WWW2015
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AKSW Colloquium: Konrad Höffner and Michael Röder on Monday, February 16, 3.00 p.m.
CubeQA—Question Answering on Statistical Linked Data by Konrad Höffner Abstract Question answering systems provide intuitive access to data by translating natural language queries into SPARQL, which is the native query language of RDF knowledge bases. Statistical data, however, is structurally … Continue reading
Posted in Announcements, Colloquium, PhD topic
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