dl-learner.org

DL-Learner | A tool for supervised Machine Learning in OWL and Description Logics

List of Components and Config Options. Supported OWL 2 Language Features. Running the Latest Development Version. Eclipse & DL-Learner. Is a framework for supervised Machine Learning in OWL, RDF and Description Logics. As companies get bigger, people tend to lose that connection to each other in the company. @ProFinda. CEO Roger Gorm twitter.com/i/web/status/9. Top Machine Learning articles from last 48 hrs rightrelevance.com/search/article. Top Machine Learning @rightrelevance. August 2, 2016.

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DL-Learner | A tool for supervised Machine Learning in OWL and Description Logics | dl-learner.org Reviews

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List of Components and Config Options. Supported OWL 2 Language Features. Running the Latest Development Version. Eclipse & DL-Learner. Is a framework for supervised Machine Learning in OWL, RDF and Description Logics. As companies get bigger, people tend to lose that connection to each other in the company. @ProFinda. CEO Roger Gorm twitter.com/i/web/status/9. Top Machine Learning articles from last 48 hrs rightrelevance.com/search/article. Top Machine Learning @rightrelevance. August 2, 2016.

<META> KEYWORDS

1 overview

2 ontology learning

3 features

4 screenshots

5 tools using dl learner

6 download

7 docs

8 manual

9 basic installation

10 reasoner installation

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DL-Learner | A tool for supervised Machine Learning in OWL and Description Logics | dl-learner.org Reviews

https://dl-learner.org

List of Components and Config Options. Supported OWL 2 Language Features. Running the Latest Development Version. Eclipse & DL-Learner. Is a framework for supervised Machine Learning in OWL, RDF and Description Logics. As companies get bigger, people tend to lose that connection to each other in the company. @ProFinda. CEO Roger Gorm twitter.com/i/web/status/9. Top Machine Learning articles from last 48 hrs rightrelevance.com/search/article. Top Machine Learning @rightrelevance. August 2, 2016.

INTERNAL PAGES

dl-learner.org

1

ORE Tool |

http://dl-learner.org/community/ore-tool

List of Components and Config Options. Supported OWL 2 Language Features. Running the Latest Development Version. Eclipse & DL-Learner. ORE has moved to its own separate project. See. The content below is deprecated. The ORE ( O. Nrichment) tool allows for knowledge engineers to improve an OWL ontology by fixing inconsistencies and making suggestions for adding further axioms to it. The following screencasts shows how to use the tool:. Basic Screencast (0.1). Detection of inconsistencies and unsatisfiabl...

2

Basic Installation |

http://dl-learner.org/docs/basic-installation

List of Components and Config Options. Supported OWL 2 Language Features. Running the Latest Development Version. Eclipse & DL-Learner. Version 7 or higher needs to be installed. Run dllearner.bat (Windows) or dllearner (other systems) and give it one of the conf files (in the examples directory) as argument, e.g. ./dllearner examples/father.conf. More infos can be found in the DL-Learner README and INSTALL files. Article accepted in Journal of Web Semantics. August 2, 2016. February 9, 2016.

3

Learning Problem |

http://dl-learner.org/docs/components/learning-problem

List of Components and Config Options. Supported OWL 2 Language Features. Running the Latest Development Version. Eclipse & DL-Learner. In the introductory Section. We described a specific learning problem where positive and negative examples are given. In practice different variations of similar problems occur. Positive and Negative Examples. Let the name of the background ontology be. The goal in this learning problem is to find an OWL class expression. And none/few negative examples are instances of.

4

Topics for Theses |

http://dl-learner.org/development/topics-for-theses

List of Components and Config Options. Supported OWL 2 Language Features. Running the Latest Development Version. Eclipse & DL-Learner. Current topics for theses include:. Distributed structured machine learning approaches (Bachelor, Master, PhD). Developing applications of DL-Learner in the area of life sciences (Bachelor, Master, PhD). And DL-Learner (Master or Bachelor). Improving the Wikipedia category system. Integration of DL-Learner in OntoWiki. Article accepted in Journal of Web Semantics. DL-Lea...

5

Writing Clients |

http://dl-learner.org/development/writing-clients

List of Components and Config Options. Supported OWL 2 Language Features. Running the Latest Development Version. Eclipse & DL-Learner. Starting the Web Service. The web server can be started via org.dllearner.server.DLLearnerWSStart in module interfaces [TODO: document how to start within release]. The Web Service currently starts its own mini-server which runs at a certain address, e.g. It automatically creates a wsdl file which can then be found at. How to start writing a client. Yandex applies AI to ...

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jens-lehmann.org

Homepage Jens Lehmann

http://jens-lehmann.org/publications

Learning OWL Class Expressions". ISBN 978-3-89838-336-3.2010, Studies on the Semantic Web, volume 6, pages 265, AKA Heidelberg. Related info pages: Concept Learning in Description Logics. Related weblinks: DL-Learner homepage. Perspectives On Ontology Learning". Editors), AKA Heidelberg. Related info pages: Concept Learning in Description Logics. Related weblinks: DL-Learner homepage. DeFacto - Temporal and Multilingual Deep Fact Validation". Lorenz Bühmann, Ricardo Usbeck, Axel-Cyrille Ngonga Ngomo.

sda.tech

Prof. Dr. Jens Lehmann – Smart Data Analytics

http://www.sda.tech/people/prof-dr-jens-lehmann

Prof Dr. Jens Lehmann. Dr Hamed Shariat Yazdi. Machine Learning on Structured Data. Software Engineering for Data Science. Prof Dr. Jens Lehmann. Leader of the Machine Learning and Ontology Engineering Group. Institute for Applied Informatics. Römerstr. 164, 53117 Bonn, Germany. University of Bonn, Computer Science. Tel: 49 228 73-4315. Schloss Birlinghoven, 53757 Sankt Augustin, Germany. Augustusplatz 10, 04109 Leipzig, Germany. Institute for Applied Informatics (InfAI) at the University of Leipzig.

thomas-riechert.de

OntoWiki – about: Thomas Riechert

http://thomas-riechert.de/about/tag/ontowiki

Primäres Menü. Alle auf diesem Weblog veröffentlichten Beiträge zeigen aktuelle Informationen zum Zeitpunkt ihres Erscheinens. Weitere Informationen sind an verschiedenen Stellen im Web verfügbar, u.a. HTWK. Dienstag, der 1. Oktober 2002. Donnerstag, der 25. Februar 2016. Freitag, der 30. März 2012. Montag, der 22. Februar 2016. Powl OntoWiki 0.94. Powl OntoWiki 0.95. OntoWiki 0.7.1. OntoWiki 0.8.5. OntoWiki 0.8.6. OntoWiki 0.9.5. OntoWiki 0.9.6. Freitag, der 30. März 2012. Das aktuelle im Repository.

sda.cs.uni-bonn.de

Prof. Dr. Jens Lehmann – Smart Data Analytics

http://sda.cs.uni-bonn.de/people/prof-dr-jens-lehmann

Prof Dr. Jens Lehmann. Dr Hamed Shariat Yazdi. Machine Learning on Structured Data. Software Engineering for Data Science. Prof Dr. Jens Lehmann. Leader of the Machine Learning and Ontology Engineering Group. Institute for Applied Informatics. Römerstr. 164, 53117 Bonn, Germany. University of Bonn, Computer Science. Tel: 49 228 73-4315. Schloss Birlinghoven, 53757 Sankt Augustin, Germany. Augustusplatz 10, 04109 Leipzig, Germany. Institute for Applied Informatics (InfAI) at the University of Leipzig.

jens-lehmann.org

Homepage Jens Lehmann

http://jens-lehmann.org/presentations

Some presentations and posters have been taken offline. Please contact me if you need them. Machine Learning Methods for Analysing and Linking RDF Data". Keynote at the SUM 2014 conference, 2014. Related info pages: Concept Learning in Description Logics. Related weblinks: DL-Learner homepage. Keynote at PILOD 2.0 congress in Hilversum, 2014. Related info pages: Spatial Data in the Semantic Web. Related weblinks: GeoKnow homepage. Talk at the Linked Data Europe Workshop in Athens, Greece, 2014. Related i...

jens-lehmann.org

Homepage Jens Lehmann

http://jens-lehmann.org/projects

Research Projects and Groups. Machine Learning and Ontology Engineering (2010 - 2016, leader). University of Oxford (2011 - 2012, research visitor). Agile Knowledge Engineering and Semantic Web (since 2006, member, leader, advisor). Smart Data Analytics (since 2016, leader). Question answering (since 2010, co-founder and leader). Extraction of machine understandable content from Wikipedia (since 2007, co-founder, co-leader). Deep Fact Validation (since 2012, founder, co-leader). Empowering Communities wi...

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DL-Learner | A tool for supervised Machine Learning in OWL and Description Logics

List of Components and Config Options. Supported OWL 2 Language Features. Running the Latest Development Version. Eclipse & DL-Learner. Is a framework for supervised Machine Learning in OWL, RDF and Description Logics. As companies get bigger, people tend to lose that connection to each other in the company. @ProFinda. CEO Roger Gorm twitter.com/i/web/status/9. Top Machine Learning articles from last 48 hrs rightrelevance.com/search/article. Top Machine Learning @rightrelevance. August 2, 2016.

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