Contextualized Knowledge Acquisition in a Personal Semantic Wiki

  • Authors:
  • Ludger Elst;Malte Kiesel;Sven Schwarz;Georg Buscher;Andreas Lauer;Andreas Dengel

  • Affiliations:
  • Knowledge Management Department, German Research Center for Artificial Intelligence (DFKI) GmbH, Kaiserslautern, Germany;Knowledge Management Department, German Research Center for Artificial Intelligence (DFKI) GmbH, Kaiserslautern, Germany;Knowledge Management Department, German Research Center for Artificial Intelligence (DFKI) GmbH, Kaiserslautern, Germany;Knowledge Management Department, German Research Center for Artificial Intelligence (DFKI) GmbH, Kaiserslautern, Germany;Knowledge Management Department, German Research Center for Artificial Intelligence (DFKI) GmbH, Kaiserslautern, Germany;Knowledge Management Department, German Research Center for Artificial Intelligence (DFKI) GmbH, Kaiserslautern, Germany

  • Venue:
  • EKAW '08 Proceedings of the 16th international conference on Knowledge Engineering: Practice and Patterns
  • Year:
  • 2008

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Abstract

The use of semantic representations in document-oriented environments --- as formal annotations or embedded instances of a formal knowledge base --- is seen as an enabling technology for intelligent services which may help knowledge workers in tasks like finding, structuring, or assessing information. Also, a high level of formalization has potential to directly support problem solving, e.g., by the application of inferencing services. A coupling of textual and formal representations in document-centered knowledge work raises, amongst others, two questions: i) How can the acquisition of formal knowledge in such an environmentbe facilitated? ii) How can the potential complexity of formal annotationsduring a document's life and use cycle be adequately handled?We present the Mymory workbench as an approach to investigate and tackle these challenges. Mymory is based on a semantic wiki system and supports manual as well as automated annotations of wiki documents. These annotations can be framed by automatically obtained models of the user's work context, establishing situation-oriented structuring of annotations which can be exploited in semantic search and adapted document presentation.