Knowledge Engineering and Management by the Masses

17th International Conference, EKAW 2010, Lisbon, Portugal, October 11-15, 2010. Proceedings

  • Philipp Cimiano
  • H. Sofia Pinto
Conference proceedings EKAW 2010

DOI: 10.1007/978-3-642-16438-5

Part of the Lecture Notes in Computer Science book series (LNCS, volume 6317)

Table of contents (47 papers)

  1. Front Matter
  2. Knowledge Engineering: Alignment and Identity

    1. Pattern-Based Mapping Refinement
      Fayçal Hamdi, Chantal Reynaud, Brigitte Safar
      Pages 1-15
    2. Practical Considerations on Identity for Instance Management in Ontological Investigation
      Kouji Kozaki, Satoshi Endo, Riichiro Mizoguchi
      Pages 16-30
  3. Knowledge Acquisition

    1. Involving Business Users in Formal Modeling Using Natural Language Pattern Sentences
      Jeroen van Grondelle, Ronald Heller, Emiel van Haandel, Tim Verburg
      Pages 31-43
    2. Knowledge Acquisition from Sources of Law in Public Administration
      Alexander Boer, Tom van Engers
      Pages 44-58
    3. Enriching the Gene Ontology via the Dissection of Labels Using the Ontology Pre-processor Language
      Jesualdo Tomas Fernandez-Breis, Luigi Iannone, Ignazio Palmisano, Alan L. Rector, Robert Stevens
      Pages 59-73
  4. Collaboration in Knowledge Engineering

    1. Ontology Development for the Masses: Creating ICD-11 in WebProtégé
      Tania Tudorache, Sean Falconer, Natalya F. Noy, Csongor Nyulas, Tevfik Bedirhan Üstün, Margaret-Anne Storey et al.
      Pages 74-89
    2. RDFauthor: Employing RDFa for Collaborative Knowledge Engineering
      Sebastian Tramp, Norman Heino, Sören Auer, Philipp Frischmuth
      Pages 90-104
  5. Knowledge Engineering: Patterns

    1. Pattern-Based Ontology Transformation Service Exploiting OPPL and OWL-API
      Ondřej Šváb-Zamazal, Vojtěch Svátek, Luigi Iannone
      Pages 105-119
    2. Experimenting with eXtreme Design
      Eva Blomqvist, Valentina Presutti, Enrico Daga, Aldo Gangemi
      Pages 120-134
  6. Social Aspects and Tagging

    1. Weaving a Social Data Web with Semantic Pingback
      Sebastian Tramp, Philipp Frischmuth, Timofey Ermilov, Sören Auer
      Pages 135-149
    2. Social People-Tagging vs. Social Bookmark-Tagging
      Peyman Nasirifard, Sheila Kinsella, Krystian Samp, Stefan Decker
      Pages 150-162
    3. FOLCOM or the Costs of Tagging
      Elena Simperl, Tobias Bürger, Christian Hofer
      Pages 163-177
  7. Semantic Web, Web of Data and Linked Data

    1. Epiphany: Adaptable RDFa Generation Linking the Web of Documents to the Web of Data
      Benjamin Adrian, Jörn Hees, Ivan Herman, Michael Sintek, Andreas Dengel
      Pages 178-192
    2. Scaling Up Question-Answering to Linked Data
      Vanessa Lopez, Andriy Nikolov, Marta Sabou, Victoria Uren, Enrico Motta, Mathieu d’Aquin
      Pages 193-210
  8. Ontology Evolution / Refinement

    1. Using Semantic Web Resources for Data Quality Management
      Christian Fürber, Martin Hepp
      Pages 211-225
    2. Using Ontological Contexts to Assess the Relevance of Statements in Ontology Evolution
      Fouad Zablith, Mathieu d’Aquin, Marta Sabou, Enrico Motta
      Pages 226-240
    3. What Is Concept Drift and How to Measure It?
      Shenghui Wang, Stefan Schlobach, Michel Klein
      Pages 241-256
  9. Knowledge Access

    1. Mobile Cultural Heritage Guide: Location-Aware Semantic Search
      Chris van Aart, Bob Wielinga, Willem Robert van Hage
      Pages 257-271
    2. Semantic Scout: Making Sense of Organizational Knowledge
      Claudio Baldassarre, Enrico Daga, Aldo Gangemi, Alfio Gliozzo, Alberto Salvati, Gianluca Troiani
      Pages 272-286

About these proceedings

Introduction

Knowledge Management and Knowledge Engineering is a fascinating ?eld of re- 1 search these days. In the beginning of EKAW , the modeling and acquisition of knowledge was the privilege of – or rather a burden for – a few knowledge engineers familiar with knowledge engineering paradigms and knowledge rep- sentationformalisms.While the aimhasalwaysbeentomodelknowledgedecl- atively and allow for reusability, the knowledge models produced in these early days were typically used in single and very speci?c applications and rarely - changed. Moreover, these models were typically rather complex, and they could be understood only by a few expert knowledge engineers. This situation has changed radically in the last few years as clearly indicated by the following trends: – The creation of (even formal) knowledge is now becoming more and more collaborative. Collaborative ontology engineering tools and social software platforms show the potential to leverage the wisdom of the crowds (or at least of “the many”) to lead to broader consensus and thus produce shared models which qualify better for reuse. – A trend can also be observed towards developing and publishing small but 2 3 4 high-impactvocabularies(e.g.,FOAF ,DublinCore ,GoodRelations)rather than complex and large knowledge models.

Keywords

augmented reality collaborative ontology engineering cultural heritage objects data quality management data semantics evolution knowledge semantic web

Editors and affiliations

  • Philipp Cimiano
    • 1
  • H. Sofia Pinto
    • 2
  1. 1.Cognitive Interaction Technology Excellence Center (CITEC)Universität BielefeldBielefeldGermany
  2. 2.IST/DEIINESC-IDLisboaPortugal

Bibliographic information

  • Copyright Information Springer Berlin Heidelberg 2010
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-16437-8
  • Online ISBN 978-3-642-16438-5
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349