Changes between Version 8 and Version 9 of PCA/SemanticDays2012/Tutorials

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12/03/12 10:12:26 (11 years ago)
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  • PCA/SemanticDays2012/Tutorials

    v8 v9  
    11== Information and Data Quality (IDQ) == #IDQ 
    2 In this tutorial you will learn  about the emerging ISO 8000 standard for 
    3 measuring IDQ. [[br]] 
    4 Content includes: 
     2In this tutorial you will learn  about the emerging ISO 8000 standard for measuring IDQ. [[BR]] Content includes: 
     3 
    54 * The academic foundation and the industry requirements for the standard. 
    65 * There will be a detailed walk trough of illustrating examples. 
    76 * Reference will be made to several real life implementations, example 
    8   * "How to secure future data quality in procurement phase" 
    9   * "Diagnose database for business critical decisions" 
    10   * "Requirements to Test data" 
     7   * "How to secure future data quality in procurement phase" 
     8   * "Diagnose database for business critical decisions" 
     9   * "Requirements to Test data" 
    1110 * The relationship to ISO 9000 and ISO15288 "Information and Data Quality - Relationship to other Standards" 
    1211 
     12== Introduction to Semantic Technology == #SemTech 
     13Martin Giese and Martin G. Skjæveland (University of Oslo)[[BR]] This tutorial is an introduction to the practical side of Semantic Web Technologies: [[BR]]the attendant will learn 
    1314 
    14 == Introduction to Semantic Technology == #SemTech 
    15 Martin Giese and Martin G. Skjæveland (University of Oslo)[[br]] 
    16 This tutorial is an introduction to the practical side of Semantic Web 
    17 Technologies: [[br]]the attendant will learn 
    1815 * what the central ideas of semantic web technologies are 
    1916 * how knowledge is represented on the semantic web 
     
    2219 * how a relational database can be exported as semantic data 
    2320 
    24 '''Martin G. Skjæveland''' is a Ph.D student at the University of Oslo, working in the area of applied logic and semantic web. Prior to his Ph.D studies he was employed by DNV Information Risk Management where he worked with ontology engineering and semantic web technologies, mainly centered around the oil and gas standard ISO 15926.[[br]] 
     21'''Martin G. Skjæveland''' is a Ph.D student at the University of Oslo, working in the area of applied logic and semantic web. Prior to his Ph.D studies he was employed by DNV Information Risk Management where he worked with ontology engineering and semantic web technologies, mainly centered around the oil and gas standard ISO 15926. 
    2522 
    2623'''Martin Giese''' holds a PhD in computer science from the University of Karlsruhe, and has been employed as researcher at the University of Oslo since 2007.  He has more than 15 years of experience with mechanised reasoning and formal methods.  Since 2007 he has been involved in several projects concerning the application of semantic technologies in the Norwegian public sector and oil & gas  industry. 
    2724 
    2825== Big Linked Data == #BigData 
    29 This 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]] 
    30 Contents included: 
     26This 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: 
     27 
    3128 * Introduction to Big Data and Linked Data 
    3229 * Review of openly available datasets 
     
    3431 * Big Linked Data in the Web of Things 
    3532 * Complex events 
    36  * Large-scale analytics 
    37 [[br]] 
    38 '''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.[[br]] 
     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. 
    3934 
    40 '''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. [[br]] 
     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.  
    4136 
    4237'''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. 
     38 
     39The slides of the tutorial are available [https://www.posccaesar.org/attachment/wiki/PCA/SemanticDays2012/Tutorials/BigLinkedData-tutorial-SemanticDays2012.pdf here]. 
     40 
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