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AKSW Blog | Agile Knowledge Engineering and Semantic Web

Agile Knowledge Engineering and Semantic Web. SANSA 0.3 (Semantic Analytics Stack) Released. December 18, 2017. We are happy to announce SANSA 0.3 the third release of the Scalable Semantic Analytics Stack. SANSA employs distributed computing via Apache Spark and Flink in order to allow scalable machine learning, inference and querying capabilities for large knowledge graphs. Website: http:/ sansa-stack.net. GitHub: https:/ github.com/SANSA-Stack. Download: http:/ sansa-stack.net/downloads-usage/. There ...

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Agile Knowledge Engineering and Semantic Web. SANSA 0.3 (Semantic Analytics Stack) Released. December 18, 2017. We are happy to announce SANSA 0.3 the third release of the Scalable Semantic Analytics Stack. SANSA employs distributed computing via Apache Spark and Flink in order to allow scalable machine learning, inference and querying capabilities for large knowledge graphs. Website: http:/ sansa-stack.net. GitHub: https:/ github.com/SANSA-Stack. Download: http:/ sansa-stack.net/downloads-usage/. There ...
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AKSW Blog | Agile Knowledge Engineering and Semantic Web | blog.aksw.org Reviews

https://blog.aksw.org

Agile Knowledge Engineering and Semantic Web. SANSA 0.3 (Semantic Analytics Stack) Released. December 18, 2017. We are happy to announce SANSA 0.3 the third release of the Scalable Semantic Analytics Stack. SANSA employs distributed computing via Apache Spark and Flink in order to allow scalable machine learning, inference and querying capabilities for large knowledge graphs. Website: http:/ sansa-stack.net. GitHub: https:/ github.com/SANSA-Stack. Download: http:/ sansa-stack.net/downloads-usage/. There ...

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blog.aksw.org blog.aksw.org
1

AKSW Colloquium, 27-04-2015, Ontotext’s RDF database-as-a-service (DBaaS) via Self-Service Semantic Suite (S4) platform via & Knowledge-Based Trust | AKSW Blog

http://blog.aksw.org/aksw-colloquium-27-04-2015-ontotexts-rdf-database-as-a-service-dbaas-via-self-service-semantic-suite-s4-platform-via-knowledge-based-trust

Agile Knowledge Engineering and Semantic Web. Talk by Kleanthi Georgala. AKSW Colloquium, 04-05-2015, Automating RDF Dataset Transformation and Enrichment, Structured Machine Learning in Life Science →. AKSW Colloquium, 27-04-2015, Ontotext’s RDF database-as-a-service (DBaaS) via Self-Service Semantic Suite (S4) platform via & Knowledge-Based Trust. April 23, 2015. RDF database-as-a-service (DBaaS) via Self-Service Semantic Suite (S4) platform. More information on S4 will be available in [1][2] and [3].

2

JoergUnbehauen | AKSW Blog

http://blog.aksw.org/author/joergunbehauen

Agile Knowledge Engineering and Semantic Web. AKSW Colloquium, 27-04-2015, Ontotext’s RDF database-as-a-service (DBaaS) via Self-Service Semantic Suite (S4) platform via & Knowledge-Based Trust. April 23, 2015. Comments Off on AKSW Colloquium, 27-04-2015, Ontotext’s RDF database-as-a-service (DBaaS) via Self-Service Semantic Suite (S4) platform via & Knowledge-Based Trust. XOperator Masters Thesis completed. March 12, 2009. AKSW Colloquium, 15th August, 3pm, RDF query relaxation.

3

Uncategorized | AKSW Blog

http://blog.aksw.org/category/uncategorized

Agile Knowledge Engineering and Semantic Web. AKSW Colloquium, 15th August, 3pm, RDF query relaxation. August 10, 2016. On the 15th of August at 3 PM, Michael Röder will present the paper “RDF Query Relaxation Strategies Based on Failure Causes” of Fokou et al. in P702. Abstract Recent advances in Web-information extraction have led to the creation of … Continue reading →. Comments Off on AKSW Colloquium, 15th August, 3pm, RDF query relaxation. Article accepted in Journal of Web Semantics. August 2, 2016.

4

AKSW Colloquium, 04-05-2015, Automating RDF Dataset Transformation and Enrichment, Structured Machine Learning in Life Science | AKSW Blog

http://blog.aksw.org/aksw-colloquium-04-05-2015-automating-rdf-dataset-transformation-and-enrichment-structured-machine-learning-in-life-science

Agile Knowledge Engineering and Semantic Web. AKSW Colloquium, 27-04-2015, Ontotext’s RDF database-as-a-service (DBaaS) via Self-Service Semantic Suite (S4) platform via & Knowledge-Based Trust. Invited talk @AIMS webinar series →. AKSW Colloquium, 04-05-2015, Automating RDF Dataset Transformation and Enrichment, Structured Machine Learning in Life Science. May 3, 2015. Automating RDF Dataset Transformation and Enrichment. Structured Machine Learning in Life Science (PhD progress report) by.

5

Invited talk @AIMS webinar series | AKSW Blog

http://blog.aksw.org/invited-talk-aims-webinar-series

Agile Knowledge Engineering and Semantic Web. AKSW Colloquium, 04-05-2015, Automating RDF Dataset Transformation and Enrichment, Structured Machine Learning in Life Science. AKSW Colloquium, 11-05-2015, DBpedia distributed extraction framework →. Invited talk @AIMS webinar series. May 8, 2015. On 5th of May Ivan Ermilov. Are available on the AIMS web portal: http:/ aims.fao.org/capacity-development/webinars/ckan-open-source-data-management-solution-open-data. Main page of Webinars@AIMS. AKSW Colloquium, ...

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linkedgeodata.org linkedgeodata.org

linkedgeodata.org : Support

http://linkedgeodata.org/Support

Adding a spatial dimension to the Web of Data. LinkedGeoData is an open community project and highly values new contributors. LinkedGeoData is open source and hostet at Git Hub. The main developer page is. We are very interested in hearing your opinion about LinkedGeoData and getting ideas for further improvements. Please send feedback and ideas to the. Group This group is the main forum for LinkedGeoData related discussions. Reporting Bugs / Issues / Feature Requests.

aksw.org aksw.org

RDFauthor — Agile Knowledge Engineering and Semantic Web (AKSW)

http://aksw.org/Projects/RDFauthor

Is an editing solution for distributed and syndicated structured content on the World Wide Web. Principle Contact / Maintainer). AKSW Colloquium, 15th August, 3pm, RDF query relaxation. On the 15th of August at 3 PM, Michael Röder will present the paper “RDF Query Relaxation Strategies Based on Failure Causes” of Fokou et al. in P702. Read more about AKSW Colloquium, 15th August, 3pm, RDF query relaxation. Article accepted in Journal of Web Semantics. On the upcoming Monday (04.07.2016), AKSW gro...This ...

aksw.org aksw.org

FOX — Agile Knowledge Engineering and Semantic Web (AKSW)

http://aksw.org/Projects/FOX.html

NLP Interchange Format (NIF). Federated knOwledge eXtraction Framework. FOX is a framework for RDF extraction from text based on Ensemble Learning. It makes use of the diversity of NLP algorithms to extract entities with a high precision and a high recall. Moreover, it provides functionality for Keyword Extraction and Relation Extraction. The output of the evaluation can be found here. Fox can be used in many ways:. You can choose to use the running FOX service. Dr Axel-C. Ngonga Ngomo. Booktitle), ' )".

aksw.org aksw.org

Patrick Westphal — Agile Knowledge Engineering and Semantic Web (AKSW)

http://aksw.org/PatrickWestphal.html

Patrick.westphal@informatik.uni-leipzig.de. My main research interest is structured machine learning and its application on Big Data problems. As part of the MOLE. Group I am contributing to the DL-Learner. Framework trying to adapt and extend it for bigger life science use-cases. Besides this, further efforts concern the parallelization of existing learning algorithms on shared memory and shared nothing architectures. A tool for supervised Machine Learning in OWL and Description Logics. We are happy to ...

aksw.org aksw.org

Mohamed Sherif — Agile Knowledge Engineering and Semantic Web (AKSW)

http://aksw.org/MohamedSherif.html

Dr-Ing. Timofey Ermilov. Dr Axel-C. Ngonga Ngomo. Prof Dr. Sandro Rautenberg. User-driven quality evaluation of DBpedia. RDF Data Extraction and Enrichment Framework. Von Sensordaten zu internetbasierten Geo-Services. Making the Web an Exploratory for Geospatial Knowledge. Spatial mapping framework for enriching RDF datasets with Geo-spatial information. Holistic Benchmarking of Big Linked Data. LInk discovery framework for MEtric Spaces. Adds a spatial dimension to the Web of Data. Booktitle), ' )".

aksw.org aksw.org

GOLD — Agile Knowledge Engineering and Semantic Web (AKSW)

http://aksw.org/Projects/GOLD

Generating Ontologies from Linked Data. In the GOLD project, we aim at semi-automatically creating ontology schema by combining relational learning techniques and natural language processing. Duration: 1.5 years. Funded by German Research Foundation (Deutsche Forschungsgemeinschaft DFG). Principle Contact / Maintainer). Data and Web Science Group Mannheim. Booktitle), ' )". Journal), ' )". Note), ' )". AKSW Colloquium, 15th August, 3pm, RDF query relaxation. Article accepted in Journal of Web Semantics.

aksw.org aksw.org

Imprint — Agile Knowledge Engineering and Semantic Web (AKSW)

http://aksw.org/Imprint

Adaptive Information and Knowledge Engineering. Knowledge Integration and Language Technologies. Machine Learning and Ontology Engineering. Telefon: 49 341 97-32367. Telefax: 49 341 97 32329. E-Mail: auer@informatik.uni-leipzig.de. Universität Leipzig Institut für Informatik Abt. Betriebliche Informationssysteme Augustusplatz 10 04109 Leipzig Deutschland. Wir bemühen uns die Inhalte unserer Seite aktuell zu halten. Trotz sorgfältiger Bearbeitung bleibt eine Haftung ausgeschlossen. Unser Angebot enthält L...

aksw.org aksw.org

Teaching — Agile Knowledge Engineering and Semantic Web (AKSW)

http://aksw.org/Teaching

Together with the Intelligent Systems department at Uni Leipzig, AKSW created the master module Semantic Web. The module is usually held in the summer semester and consists of a lecture, a seminar and practical work. Module component-based software engineering. Together with the Intelligent Systems department at Uni Leipzig, AKSW created the master module Software aus Komponenten. The module is usually held in the winter semester and consists of a lecture, and a seminar. Leipzig School of Media. AKSW Col...

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AKSW Blog | Agile Knowledge Engineering and Semantic Web

Agile Knowledge Engineering and Semantic Web. SANSA 0.3 (Semantic Analytics Stack) Released. December 18, 2017. We are happy to announce SANSA 0.3 the third release of the Scalable Semantic Analytics Stack. SANSA employs distributed computing via Apache Spark and Flink in order to allow scalable machine learning, inference and querying capabilities for large knowledge graphs. Website: http:/ sansa-stack.net. GitHub: https:/ github.com/SANSA-Stack. Download: http:/ sansa-stack.net/downloads-usage/. There ...

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