Knowledge Search within a Company-WIKI

The usage of Wikis for the purpose of knowledge management within a business company is only of value if the stored information can be found easily. The fundamental characteristic of a Wiki, its easy and informal usage, results in large amounts of steadily changing, unstructured documents. The widely used full-text search often provides search results of insufficient accuracy. In this paper, we will present an approach likely to improve search quality, through the use of Semantic Web, Text Mining, and Case Based Reasoning (CBR) technologies. Search results are more precise and complete because, in contrast to full-text search, the proposed knowledge-based search operates on the semantic layer

GenRule : Learning of Shortcut-Oriented Diagnostic Problem Solving in the MOLTKE 3 Workbench

GenRule is the offline processing component of the MOLTKE3 workbench’s learning mechanism. It learns from diagnostic cases, i.e. protocols of the diagnostic behavior of an experienced service technician. The result of a learning step are so called shortcut rules, which allow the derivation of symptom values from other already known values. Furthermore, these rules are used to direct the diagnostic strategy applied by the MOLTKE3 shell. The presented mechanism appears to be well suited for modeling the typical diagnostic behavior of a service technician

INRECA - A Seamless Integration of Induction and Case-Based Reasoning for Decision Support Tasks

We propose an integrated approach to decision support and diagnostic problems based on top-down induction of decision trees (TDIDT) and case-based reasoning (CBR)

INRECA - A Seamless Integration of Induction and Case-Based Reasoning for Decision Support Tasks

We propose an integrated approach to decision support and diagnostic problems based on top-down induction of decision trees (TDIDT) and case-based reasoning (CBR)

Inreca – A Seamless Integration of Induction and Case-Based Reasoning for Decision Support Tasks

We propose an integrated approach to decision support and diagnostic problems based on topdown induction of decision trees (TDIDT) and case-based reasoning (CBR). This approach has been implemented within the INRECA 1 Esprit project. While different ways of integration (Auriol, Manago et al., 1994) and evaluation (Althoff, Auriol et al., 1995; Althoff, 1995a