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  • © 2018

Semantic Applications

Methodology, Technology, Corporate Use

  • Proven methodologies for developing semantic applications
  • Includes technological and architectural best practices: from data to applications
  • Written by practitioners for practitioners
  • Collection of articles written by experts in their fields

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Table of contents (17 chapters)

  1. Front Matter

    Pages i-xxv
  2. Introduction to Semantic Applications

    • Wolfram Bartussek, Hermann Bense, Thomas Hoppe, Bernhard G. Humm, Anatol Reibold, Ulrich Schade et al.
    Pages 1-12
  3. Guide for Pragmatical Modelling of Ontologies in Corporate Settings

    • Thomas Hoppe, Robert Tolksdorf
    Pages 13-30
  4. Compliance Using Metadata

    • Rigo Wenning, Sabrina Kirrane
    Pages 31-45
  5. Variety Management for Big Data

    • Wolfgang Mayer, Georg Grossmann, Matt Selway, Jan Stanek, Markus Stumptner
    Pages 47-62
  6. Text Mining in Economics

    • Melanie Siegel
    Pages 63-73
  7. Generating Natural Language Texts

    • Hermann Bense, Ulrich Schade, Michael Dembach
    Pages 75-86
  8. Building Concise Text Corpora from Web Contents

    • Wolfram Bartussek
    Pages 95-109
  9. Ontology-Based Modelling of Web Content: Example Leipzig Health Atlas

    • Alexandr Uciteli, Christoph Beger, Katja Rillich, Frank A. Meineke, Markus Loeffler, Heinrich Herre
    Pages 111-123
  10. Personalised Clinical Decision Support for Cancer Care

    • Bernhard G. Humm, Paul Walsh
    Pages 125-143
  11. Context-Aware Documentation in the Smart Factory

    • Ulrich Beez, Lukas Kaupp, Tilman Deuschel, Bernhard G. Humm, Fabienne Schumann, Jürgen Bock et al.
    Pages 163-180
  12. Knowledge-Based Production Planning for Industry 4.0

    • Benjamin Gernhardt, Tobias Vogel, Matthias Hemmje
    Pages 181-202
  13. Automated Rights Clearance Using Semantic Web Technologies: The DALICC Framework

    • Tassilo Pellegrini, Victor Mireles, Simon Steyskal, Oleksandra Panasiuk, Anna Fensel, Sabrina Kirrane
    Pages 203-218
  14. Managing Cultural Assets: Challenges for Implementing Typical Cultural Heritage Archive’s Usage Scenarios

    • Kerstin Diwisch, Felix Engel, Jason Watkins, Matthias Hemmje
    Pages 219-230
  15. The Semantic Process Filter Bubble

    • Christian Fillies, Frauke Weichhardt, Henrik Strauß
    Pages 231-241
  16. Domain-Specific Semantic Search Applications: Example SoftwareFinder

    • Bernhard G. Humm, Hesam Ossanloo
    Pages 243-258
  17. Back Matter

    Pages 259-265

About this book

This book describes methodologies for developing semantic applications. Semantic applications are software applications which explicitly or implicitly use the semantics, i.e. the meaning of a domain terminology, in order to improve usability, correctness, and completeness. An example is semantic search, where synonyms and related terms are used for enriching the results of a simple text-based search. Ontologies, thesauri or controlled vocabularies are the centerpiece of semantic applications. 

The book includes technological and architectural best practices for corporate use. The authors are experts from industry and academia with experience in developing semantic applications. 

Editors and Affiliations

  • Datenlabor Berlin, Berlin, Germany

    Thomas Hoppe

  • Fachbereich Informatik, Hochschule Darmstadt, Darmstadt, Germany

    Bernhard Humm

  • Ontoport UG, Sulzbach, Germany

    Anatol Reibold

About the editors

Thomas Hoppe works as Data Scientist and Knowledge Engineer. He is lecturer at the Computer Science Department of the Hochschule für Technik und Wirtschaft Berlin – University of Applied Sciences, Germany. In 2008 he founded, together with three associates, Ontonym GmbH. Furthermore, in 2014 he founded Datenlabor Berlin. 

Bernhard Humm is a professor at the Computer Science Department of Hochschule Darmstadt – University of Applied Sciences, Germany. He coordinates the Ph.D. programme and is the managing director of the institute of applied informatics, Darmstadt (aiDa). He is running several national and international research projects in co-operation with industry and research organizations. 

Anatol Reibold studied mathematics and mechanical engineering at the University of Novosibirsk. Currently he works as a supply chain analyst and business mathematician at Raiffeisen Waren-Zentrale Rhein-Main eG. He is also one of the co-founders of OntoPort and their chief data scientist.

Bibliographic Information

Buy it now

Buying options

eBook USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 49.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 49.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access