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News

AKSW Colloquium: Edgard Marx and Tommaso Soru on Monday, February 23, 3.00 p.m. ( 2015-02-19T22:53:47+01:00 TommasoSoru)

2015-02-19T22:53:47+01:00 TommasoSoru

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. Abstract – Smart Since the conception of the Web, search engines play a key role in making content available. Read more about "AKSW Colloquium: Edgard Marx and Tommaso Soru on Monday, February 23, 3.00 p.m."

Call for Feedback on LIDER Roadmap ( 2015-02-17T15:38:54+01:00 by Amrapali Zaveri)

2015-02-17T15:38:54+01:00 by Amrapali Zaveri

The LIDER project is gathering feedback on a roadmap for the use of Linguistic Linked Data for content analytics.  We invite you to give feedback in the following ways: Attend and discuss with us at the public conference call on 19 February 3 p.m. Read more about "Call for Feedback on LIDER Roadmap"

AKSW Colloquium: Konrad Höffner and Michael Röder on Monday, February 16, 3.00 p.m. ( 2015-02-16T13:45:51+01:00 by Konrad Höffner)

2015-02-16T13:45:51+01:00 by Konrad Höffner

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 very different from other data and cannot be queried using existing approaches. Read more about "AKSW Colloquium: Konrad Höffner and Michael Röder on Monday, February 16, 3.00 p.m."

Kick-off of the FREME project ( 2015-02-16T12:50:49+01:00 by Amrapali Zaveri)

2015-02-16T12:50:49+01:00 by Amrapali Zaveri

Hi all ! A new InfAI project, FREME, kicked off in Berlin. FREME – Open Framework of E-Services for Multilingual and Semantic Enrichment of Digital Content is an H2020 funded project with the objective of building an open, innovative, commercial-grade framework of e-services for multilingual and semantic enrichment of digital content. Read more about "Kick-off of the FREME project"

DL-Learner 1.0 (Supervised Structured Machine Learning Framework) Released ( 2015-02-13T10:38:26+01:00 by Dr. Jens Lehmann)

2015-02-13T10:38:26+01:00 by Dr. Jens Lehmann

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 connect to most popular OWL reasoners and is easily and flexibly configurable. Read more about "DL-Learner 1.0 (Supervised Structured Machine Learning Framework) Released"