COST Action IC1302

3rd KEYSTONE Training School
Keyword search in Big Linked Data

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Lecture Slides

M. Lupu - Welcome slides

E. Kiesling - Introduction to Linked Data

M. Dragoni - Semantic Keyword Search Within the Medical Domain

S. Sakr - Big Linked Data Storage and Query Processing

H. Paulheim - Knowledge Graphs on the Web

J. Debattista - Scalable Linked Data Quality Assessment

A. Falkner - Linking Product Configuration and Data Analytics at Siemens CT

E. Demidova - Introduction to Information Extraction

L. Po - Linked Data Visualization

M. Weber - Data Science in Action - How we accelerate business with AI

V. Terziyan - Deep Learning for Cognitive Computing

J. Viqueira - Semantic Keyword-based Search on GeoSpatial Data Sources

N. Rekabsaz - Statistical Semantics with Dense Vectors

Farina, Martinez, Fernandez - Managing Compressed Big (Linked) Semantic Data-AllSlides

W. Masood - Large Scale Customer Experience Management

  • Important Info.



    Dates: 21-25th August, 2017

    Location: Faculty of Informatics, TU Wien, Vienna, Austria

    Fees: None

    Registration: From 15th April to 15th June, 2017. Click here to register

    Organised by: TU Wien
    KEYSTONE COST Action

    www.keystone-cost.eu



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    COST is supported by the EU Framework Programme Horizon 2020

3rd KEYSTONE Training School ยท Keyword search in Big Linked Data