Brigitte Endres-Niggemeyer

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After illustrating with the help of a textuality checklist how it transpires that humans can produce so much better summaries than automatic systems, I plead the cause of a summarization system that follows the approach of human summarizers not in the system underground but near the user interface where users actually feel it. I present the overall research(More)
-Four working steps taken from a comprehensive empirical model of expert abstracting are studied in order to prepare an explorative implementation of a simulation model. It aims at explaining the knowledge processing activities during professional summarizing. Following the case-based and holistic strategy of qualitative empirical research, we develop the(More)
This paper presents the user-centered interface of a summarization system for physicians in Bone Marrow Transplantation (BMT). It serves both retrieval and summarization, eliciting the query and presenting multi-document summaries in a situation-specific organization. Introduction: User-centered scenario forms for retrieval and summarization This paper(More)
I report here on a small preparatory study in ontology construction. It explored T-cell depletion, a special issue in bone marrow transplantation (BMT). The target ontology aims at supporting WWW summarizing in BMT. As a result I propose a case-specific research design backed up by thesaurus construction methods and a systematic field research grounding. It(More)
The advantage of cognitively motivated automatic summarizing is that human users can better understand what happens. This improves acceptability. The basic empirical finding in human summarizers is that they combine a choice of intellectual strategies. We report here on SummIt-BMT (Summarize It in Bone Marrow Transplantation), a prototype system that(More)
We describe an ontology for WWW summarization in Bone Marrow Transplantation that is currently under construction. It is text-based and qualifies as a grounded ontology. In addition, it is user-centered. For stating medical knowledge, we use first-order logic extended with contexts. The ontology is prepared to serve query scenario formulation, text passage(More)
Professional summarising includes the cognitive process of abstracting, indexing and classifying as performed by the expert summarisers who prepare records for bibliographic information systems. In order to simulate their skilled performance, a "grounded" (or "naturalistic") cognitive model of expert summarisation has been developed, using 54 thinking-aloud(More)
Professional summarizing includes the cognitive prothe more expanding information systems inundate users cesses of abstracting, indexing, and classifying as perwith vast amounts of information, the more the users need formed by expert summarizers who prepare records for reduced versions which they can assimilate with limited bibliographic information(More)