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 environment be facilitated? ii) How can the potential complexity of formal annotations during 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.
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van Elst, L., Kiesel, M., Schwarz, S., Buscher, G., Lauer, A., Dengel, A. (2008). Contextualized Knowledge Acquisition in a Personal Semantic Wiki. In: Gangemi, A., Euzenat, J. (eds) Knowledge Engineering: Practice and Patterns. EKAW 2008. Lecture Notes in Computer Science(), vol 5268. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87696-0_17
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DOI: https://doi.org/10.1007/978-3-540-87696-0_17
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