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European OpenACS and Tcl Conference, Vienna 2022

We are proud to announce the joint European OpenACS and Tcl Conference. This event will combine the 6th OpenACS conference and the 18th European Tcl/Tk Users Meeting (EuroTcl).

   Date: June 30th and July 1st, 2022
   Location: Vienna University of Economics and Business (WU), Austria
   Venue: Welthandelsplatz 1, 1020 Vienna
   Contact: conference2022@openacs.org

The joint conference seeks practitioners, developers, and researchers whose work involves Tcl/Tk and/ or OpenACS. The conference will offer multiple presentations and discussions about Tcl/Tk programming, as well as for developments and applications of the OpenACS Web application framework. You are invited to contribute and participate actively by proposing a presentation.

For details and registration, visit: https://openacs.org/conf2022/

New Book: Knowledge Graphs

Knowledge Graphs

This book provides a comprehensive and accessible introduction to knowledge graphs, which have recently garnered notable attention from both industry and academia. Knowledge graphs are founded on the principle of applying a graph-based abstraction to data, and are now broadly deployed in scenarios that require integrating and extracting value from multiple, diverse sources of data at large scale.

The book defines knowledge graphs and provides a high-level overview of how they are used. It presents and contrasts popular graph models that are commonly used to represent data as graphs, and the languages by which they can be queried before describing how the resulting data graph can be enhanced with notions of schema, identity, and context. The book discusses how ontologies and rules can be used to encode knowledge as well as how inductive techniques—based on statistics, graph analytics, machine learning, etc.—can be used to encode and extract knowledge. It covers techniques for the creation, enrichment, assessment, and refinement of knowledge graphs and surveys recent open and enterprise knowledge graphs and the industries or applications within which they have been most widely adopted. The book closes by discussing the current limitations and future directions along which knowledge graphs are likely to evolve.

This book is aimed at students, researchers, and practitioners who wish to learn more about knowledge graphs and how they facilitate extracting value from diverse data at large scale. To make the book accessible for newcomers, running examples and graphical notation are used throughout. Formal definitions and extensive references are also provided for those who opt to delve more deeply into specific topics.


Links

Link to the publishers announcement:
https://twitter.com/MorganClaypool/status/1461376162249195525

Link to the book:
https://www.morganclaypoolpublishers.com/catalog_Orig/product_info.php?products_id=1683

Link to a html version of the book:
https://kgbook.org/

Job opening: Teaching and Research Associate prae doc

The lnstitute of lnformation Systems and New Media (WU Vienna) invites applications for a position as a Teaching and Reserarch Associate prae doc, Reference Number: 1125
Application materials can be submitted online until September 29th, 2021.
Please apply via the following link: https://www.wu.ac.at/karriere/arbeiten-an-der-wu/jobangebote?yid=1125

 

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