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News

ALIGNED project kick-off ( 2015-03-03T12:43:29+01:00 MartinBruemmer)

2015-03-03T12:43:29+01:00 MartinBruemmer

ALIGNED, AKSW’s new H2020-funded project, kicked off in Dublin. The project brings together computer science researchers, companies building data-intensive systems and information technology, and academic curators of large datasets in an effort to build IT systems for aligned, co-evolving software and data lifecycles. Read more about "ALIGNED project kick-off"

AKSW Colloquium: Tommaso Soru and Martin Brümmer on Monday, March 2 at 3.00 p.m. ( 2015-02-27T13:57:27+01:00 by Amrapali Zaveri)

2015-02-27T13:57:27+01:00 by Amrapali Zaveri

On Monday, 2nd of March 2015, Tommaso Soru will present ROCKER, a refinement operator approach for key discovery. Martin Brümmer will then present NIF annotation and provenance – A comparison of approaches. Read more about "AKSW Colloquium: Tommaso Soru and Martin Brümmer on Monday, March 2 at 3.00 p.m."

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. EDIT: Tommaso Soru’s presentation was moved to March 2nd. 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."