Document (#36498)

Author

Endres-Niggemeyer, B.
Ziegert, C.

Title

SummIt-BMT : (Summarize It in BMT) in Diagnose und Therapie, Abschlussbericht

Issue

FKZ 17 012 00 - Projektlaufzeit: 1.7.2000 - 30.6.2002.

Source

http://endres-niggemeyer.fh-hannover.de/reps/SummitbmbfBericht.pdf

Year

2002

Pages

31 S

Abstract

SummIt-BMT (Summarize It in Bone Marrow Transplantation) - das Zielsystem des Projektes - soll Ärzten in der Knochenmarktransplantation durch kognitiv fundiertes Zusammenfassen (Endres-Niggemeyer, 1998) aus dem WWW eine schnelle Informationsaufnahme ermöglichen. Im bmbffinanzierten Teilprojekt, über das hier zu berichten ist, liegt der Schwerpunkt auf den klinischen Fragestellungen. SummIt-BMT hat als zentrale Komponente eine KMT-Ontologie. Den Systemablauf veranschaulicht Abb. 1: Benutzer geben ihren Informationsbedarf in ein strukturiertes Szenario ein. Sie ziehen dazu Begriffe aus der Ontologie heran. Aus dem Szenario werden Fragen an Suchmaschinen abgeleitet. Die Summit-BMT-Metasuchmaschine stößt Google an und sucht in Medline, der zentralen Literaturdatenbank der Medizin. Das Suchergebnis wird aufbereitet. Dabei werden Links zu Volltexten verfolgt und die Volltexte besorgt. Die beschafften Dokumente werden mit einem Schlüsselwortretrieval auf Passagen untersucht, in denen sich Suchkonzepte aus der Frage / Ontologie häufen. Diese Passagen werden zum Zusammenfassen vorgeschlagen. In ihnen werden die Aussagen syntaktisch analysiert. Die Systemagenten untersuchen sie. Lassen Aussagen sich mit einer semantischen Relation an die Frage anbinden, tragen also zur deren Beantwortung bei, werden sie in die Zusammenfassung aufgenommen, es sei denn, andere Agenten machen Hinderungsgründe geltend, z.B. Redundanz. Das Ergebnis der Zusammenfassung wird in das Frage/Antwort-Szenario integriert. Präsentiert werden Exzerpte aus den Quelldokumenten. Mit einem Link vermitteln sie einen sofortigen Rückgriff auf die Quelle. SummIt-BMT ist zum nächsten Durchgang von Informationssuche und Zusammenfassung bereit, sobald der Benutzer dies wünscht.

Content

Vgl. auch: http://summit-bmt.fh-hannover.de

Theme

Automatisches Abstracting
Referieren
Wissensrepräsentation

Field

Medizin

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