際際滷shows by User: JensLehmann / http://www.slideshare.net/images/logo.gif 際際滷shows by User: JensLehmann / Mon, 23 Oct 2017 11:16:47 GMT 際際滷Share feed for 際際滷shows by User: JensLehmann SANSA ISWC 2017 Talk /slideshow/sansa-iswc-international-semantic-web-conference-2017-talk/81098448 sansaiswc2017talk-171023111647
The talk describes the SANSA software framework for distributed in-memory analytics ("Big Data") based on the semantic technology stack, which was presented at ISWC (International Semantic Web Conference) 2017 in Vienna.]]>

The talk describes the SANSA software framework for distributed in-memory analytics ("Big Data") based on the semantic technology stack, which was presented at ISWC (International Semantic Web Conference) 2017 in Vienna.]]>
Mon, 23 Oct 2017 11:16:47 GMT /slideshow/sansa-iswc-international-semantic-web-conference-2017-talk/81098448 JensLehmann@slideshare.net(JensLehmann) SANSA ISWC 2017 Talk JensLehmann The talk describes the SANSA software framework for distributed in-memory analytics ("Big Data") based on the semantic technology stack, which was presented at ISWC (International Semantic Web Conference) 2017 in Vienna. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/sansaiswc2017talk-171023111647-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> The talk describes the SANSA software framework for distributed in-memory analytics (&quot;Big Data&quot;) based on the semantic technology stack, which was presented at ISWC (International Semantic Web Conference) 2017 in Vienna.
SANSA ISWC 2017 Talk from Jens Lehmann
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Question Answering - Application and Challenges /JensLehmann/question-answering-application-and-challenges presentationpublic-160210124132
Keynote of the WDAqua Project R&D Week]]>

Keynote of the WDAqua Project R&D Week]]>
Wed, 10 Feb 2016 12:41:31 GMT /JensLehmann/question-answering-application-and-challenges JensLehmann@slideshare.net(JensLehmann) Question Answering - Application and Challenges JensLehmann Keynote of the WDAqua Project R&D Week <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/presentationpublic-160210124132-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Keynote of the WDAqua Project R&amp;D Week
Question Answering - Application and Challenges from Jens Lehmann
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Machine Learning Methods for Analysing and Linking RDF Data /slideshow/analysing-and/39140554 suminvitedtalk-140916055113-phpapp01
Invited Talk at the 8th International Conference on Scalable Uncertainty Management (SUM) The talk outlines applications of supervised structured machine learning and presents a specific refinement operator based approach for RDF/OWL. It also outlines how similar ideas can be used in other (formal) languages, in particular link specifications.]]>

Invited Talk at the 8th International Conference on Scalable Uncertainty Management (SUM) The talk outlines applications of supervised structured machine learning and presents a specific refinement operator based approach for RDF/OWL. It also outlines how similar ideas can be used in other (formal) languages, in particular link specifications.]]>
Tue, 16 Sep 2014 05:51:13 GMT /slideshow/analysing-and/39140554 JensLehmann@slideshare.net(JensLehmann) Machine Learning Methods for Analysing and Linking RDF Data JensLehmann Invited Talk at the 8th International Conference on Scalable Uncertainty Management (SUM) The talk outlines applications of supervised structured machine learning and presents a specific refinement operator based approach for RDF/OWL. It also outlines how similar ideas can be used in other (formal) languages, in particular link specifications. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/suminvitedtalk-140916055113-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Invited Talk at the 8th International Conference on Scalable Uncertainty Management (SUM) The talk outlines applications of supervised structured machine learning and presents a specific refinement operator based approach for RDF/OWL. It also outlines how similar ideas can be used in other (formal) languages, in particular link specifications.
Machine Learning Methods for Analysing and Linking RDF Data from Jens Lehmann
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https://cdn.slidesharecdn.com/profile-photo-JensLehmann-48x48.jpg?cb=1530788798 jens-lehmann.org https://cdn.slidesharecdn.com/ss_thumbnails/sansaiswc2017talk-171023111647-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/sansa-iswc-international-semantic-web-conference-2017-talk/81098448 SANSA ISWC 2017 Talk https://cdn.slidesharecdn.com/ss_thumbnails/presentationpublic-160210124132-thumbnail.jpg?width=320&height=320&fit=bounds JensLehmann/question-answering-application-and-challenges Question Answering - A... https://cdn.slidesharecdn.com/ss_thumbnails/suminvitedtalk-140916055113-phpapp01-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/analysing-and/39140554 Machine Learning Metho...