Changes between Version 9 and Version 10 of PCA/SemanticDays2012/Tutorials

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Timestamp:
12/03/12 10:25:49 (5 years ago)
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titiroman (IP: 193.157.251.31)
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  • PCA/SemanticDays2012/Tutorials

    v9 v10  
    2424 
    2525== Big Linked Data == #BigData 
     26The slides of the tutorial are available [https://www.posccaesar.org/attachment/wiki/PCA/SemanticDays2012/Tutorials/BigLinkedData-tutorial-SemanticDays2012.pdf here]. 
     27 
    2628This tutorial introduces the notion of Big Data in the context of the Linked Open Data movement. The tutorial will focus on the usage of Linked Data principles for large-scale distributed data integration, and explains how vast quantities of such integrated data can be processed efficiently.[[BR]] Contents included: 
    2729 
     
    3133 * Big Linked Data in the Web of Things 
    3234 * Complex events 
    33  * Large-scale analytics[[BR]]'''Marko Grobelnik''' is an expert in analysis of large amounts of complex data with the purpose to extract useful knowledge. In particular, the areas of expertise comprise: Data Mining, Text Mining, Information Extraction, Link Analysis, and Data Visualization as well as more integrative areas such as Semantic Web, Knowledge Management and Artificial Intelligence. 
     35 * Large-scale analytics 
    3436 
    35 '''Andreas Harth''' works as post-doctoral researcher at Institute AIFB at the Karlsruhe Institute of Technology after pursuing a Ph.D. with the Digital Enterprise Research Institute (DERI) at the National University of Ireland, Galway. His research interests are large-scale data interoperation on the Semantic Web, Linked Data, knowledge representation, computational logic and user interaction on web data. Andreas has published over a dozen papers in these areas, and is author of several open source software systems.  
     37'''Andreas Harth''' works as post-doctoral researcher at Institute AIFB at the Karlsruhe Institute of Technology after pursuing a Ph.D. with the Digital Enterprise Research Institute (DERI) at the National University of Ireland, Galway. His research interests are large-scale data interoperation on the Semantic Web, Linked Data, knowledge representation, computational logic and user interaction on web data. Andreas has published over a dozen papers in these areas, and is author of several open source software systems. 
    3638 
    3739'''Dumitru Roman''' works for SINTEF as a research scientist since the end of 2009. He is currently the project coordinator of the Environmental Services Infrastructure with Ontologies (ENVISION) project. More recently, he has initiated Sensapp – a Web-based platform for enabling access to sensor data, and has been involved in the LOD activities in Norway through the Semicolon2 and !PlanetData projects. 
    3840 
    39 The slides of the tutorial are available [https://www.posccaesar.org/attachment/wiki/PCA/SemanticDays2012/Tutorials/BigLinkedData-tutorial-SemanticDays2012.pdf here]. 
    40  
    41 hereAfrikaansAlbanianArabicArmenianAzerbaijaniBasqueBelarusianBulgarianCatalanChinese (Simplified)Chinese (Traditional)CroatianCzechDanishDetect languageDutchEnglishEstonianFilipinoFinnishFrenchGalicianGeorgianGermanGreekHaitian CreoleHebrewHindiHungarianIcelandicIndonesianIrishItalianJapaneseKoreanLatinLatvianLithuanianMacedonianMalayMalteseNorwegianPersianPolishPortugueseRomanianRussianSerbianSlovakSlovenianSpanishSwahiliSwedishThaiTurkishUkrainianUrduVietnameseWelshYiddish'''⇄'''AfrikaansAlbanianArabicArmenianAzerbaijaniBasqueBelarusianBulgarianCatalanChinese (Simplified)Chinese (Traditional)CroatianCzechDanishDutchEnglishEstonianFilipinoFinnishFrenchGalicianGeorgianGermanGreekHaitian CreoleHebrewHindiHungarianIcelandicIndonesianIrishItalianJapaneseKoreanLatinLatvianLithuanianMacedonianMalayMalteseNorwegianPersianPolishPortugueseRomanianRussianSerbianSlovakSlovenianSpanishSwahiliSwedishThaiTurkishUkrainianUrduVietnameseWelshYiddishDetect language » English 
     41'''Marko Grobelnik''' is an expert in analysis of large amounts of complex data with the purpose to extract useful knowledge. In particular, the areas of expertise comprise: Data Mining, Text Mining, Information Extraction, Link Analysis, and Data Visualization as well as more integrative areas such as Semantic Web, Knowledge Management and Artificial Intelligence. 
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