Anjo Anjewierden

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In this paper we investigate how retrieving information can be improved through task related indexing of documents based on ontologies. Different index types, varying from content­based keywords to structured task­based indexing ontologies are compared in an experiment that simulates the task of creating instructional material from a database of source(More)
Often research on online communities could be compared to archaeology [16]: researchers look at patterns in digital traces that members leave to characterise the community they belong to. Relatively easy access to these traces and a growing number of methods and tools to collect and analyse them make such analysis increasingly attractive. However, a(More)
Goal driven authoring of training material from existing technical manuals requires automatic indexing of the content of the manual. In this contribution we consider the different representation levels and document knowledge required to do the task. On that basis we have developed tools for automatic indexing in diverse domains.
The separation between user interface and functionality found in many screen editors is generalized to handle a data model based on frames and binary relations. This paper describes a User Interface Management System (UIMS) based on the data model. The UIMS is capable of maintaining different and simultaneous representations of the same application data(More)