© 2017

Modeling and Using Context

10th International and Interdisciplinary Conference, CONTEXT 2017, Paris, France, June 20-23, 2017, Proceedings

  • Patrick Brézillon
  • Roy Turner
  • Carlo Penco
Conference proceedings CONTEXT 2017

Part of the Lecture Notes in Computer Science book series (LNCS, volume 10257)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 10257)

Table of contents

  1. Front Matter
    Pages I-XXI
  2. Keynote-Related Papers

    1. Front Matter
      Pages 1-1
    2. Gregory Bochner
      Pages 3-14
    3. Manuel García-Carpintero
      Pages 15-24
  3. Context in Representation

    1. Front Matter
      Pages 25-25
    2. Kimberly García, Patrick Brézillon
      Pages 27-40
    3. Niklas Kolbe, Arkady Zaslavsky, Sylvain Kubler, Jérémy Robert, Yves Le Traon
      Pages 41-54
    4. Stefano Leardi, Nicla Vassallo
      Pages 55-68
    5. Arjun Satish, Ramesh Jain, Amarnath Gupta
      Pages 81-95
  4. Context Modeling of Human Activities

    1. Front Matter
      Pages 97-97
    2. Yves Bouchard
      Pages 99-112
    3. Patrick Brézillon
      Pages 113-126
    4. Julien Cumin, Grégoire Lefebvre, Fano Ramparany, James L. Crowley
      Pages 137-150
    5. Kimberly García, Patrick Brézillon
      Pages 151-164
    6. Jorge E. Giraldo, Demetrio Arturo Ovalle, Flavia Maria Santoro
      Pages 165-174
    7. Paula Lago, Fréderic Lang, Claudia Roncancio, Claudia Jiménez-Guarín, Radu Mateescu, Nicolas Bonnefond
      Pages 175-188
    8. Julien Nigon, Nicolas Verstaevel, Jérémy Boes, Frédéric Migeon, Marie-Pierre Gleizes
      Pages 189-202

About these proceedings


This book constitutes the proceedings of the 10th International and Interdisciplinary Conference on Modeling and Using Context, CONTEXT 2017, held in Paris, France, in June 2017.

The 26 full papers and 15 short papers presented were carefully reviewed and selected from 88 submissions. The papers feature research in a wide range of disciplines related to issues of context and contextual knowledge and discuss commonalities across and differences between the disciplines' approaches to the study of context. They are organized in the following topical sections: context in representation; context modeling of human activities; context in communication; context awareness; and various specific topics.


context awareness internet of things artificial intelligence activity recognition context-aware computing smart environments software engineering mobile devices semantics business process ubiquitous computing machine learning systems human computer interaction human reasoning natural languages knowledge representation context modeling context management quality of context context-based learning

Editors and affiliations

  1. 1.Pierre and Marie Curie University ParisFrance
  2. 2.University of Maine OronoUSA
  3. 3.University of Genoa GenoaItaly

Bibliographic information