The Semantic Web from an Industry Perspective

  • Alain Léger
  • Johannes Heinecke
  • Lyndon J. B. Nixon
  • Pavel Shvaiko
  • Jean Charlet
  • Paola Hobson
  • François Goasdoué
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4126)


Semantic Web technology is being increasingly applied in a large spectrum of applications in which domain knowledge is conceptualized and formalized (e.g., by means of an ontology) in order to support diversified and automated knowledge processing (e.g., reasoning) performed by a machine. Moreover, through an optimal combination of (cognitive) human reasoning and (automated) machine reasoning and processing, it is possible for humans and machines to share complementary tasks. The spectrum of applications is extremely large and to name a few: corporate portals and knowledge manage-ment, e-commerce, e-work, e-business, healthcare, e-government, natural language understanding and automated translation, information search, data and services integration, social networks and collaborative filtering, knowledge mining, business intelligence and so on. From a social and economic perspective, this emerging technology should contribute to growth in economic wealth, but it must also show clear cut value for everyday activities through technological transparency and efficiency. The penetration of Semantic Web technology in industry and in services is progressing slowly but accelerating as new success stories are reported. In this paper and lecture we present ongoing work in the cross-fertilization between industry and academia. In particular, we present a collection of application fields and use cases from enterprises which are interested in the promises of Semantic Web technology. The use cases are detailed and focused on the key knowledge processing components that will unlock the deployment of the technology in the selected application field. The paper ends with the presentation of the current technology roadmap designed by a team of Academic and Industry researchers.


Description Logic Multimedia Content Domain Ontology Business Process Management Query Plan 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Alain Léger
    • 1
  • Johannes Heinecke
    • 1
  • Lyndon J. B. Nixon
    • 2
  • Pavel Shvaiko
    • 3
  • Jean Charlet
    • 4
  • Paola Hobson
    • 5
  • François Goasdoué
    • 6
  1. 1.France Telecom R&D – RennesCesson-SévignéFrance
  2. 2.Freie Universität BerlinBerlinGermany
  3. 3.University of TrentoTrentoItaly
  4. 4.STIM, DPA/AP-Hopitaux Paris & Université Paris 6ParisFrance
  5. 5.Motorola LabsCentre for Applications, Content and ServicesHantsUK
  6. 6.LRICNRS et Université Paris Sud XIOrsayFrance

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