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Hartley, J.: Is it appropriate to use structured abstracts in non-medical science journals? (1998) 0.02

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Source: Journal of information science. 24(1998) no.5, S.359-364
Year: 1998

Armstrong, C.J.; Wheatley, A.: Writing abstracts for online databases : results of database producers' guidelines (1998) 0.02

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Source: Program. 32(1998) no.4, S.359-371
Year: 1998

Koltay, T.: ¬A hypertext tutorial on abstracting for library science students (1995) 0.02

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Date: 27. 1.1996 18:22:06

Endres-Niggemeyer, B.: Summarizing information (1998) 0.01

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Year: 1998

Lancaster, F.W.: Indexing and abstracting in theory and practice (1998) 0.01

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Year: 1998

Palais, E.S.: Abstracting for reference librarians (1988) 0.01

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Source: Reference librarian. 1988, no.22, S.297-308

Endres-Niggemeyer, B.; Ziegert, C.: SummIt-BMT : (Summarize It in BMT) in Diagnose und Therapie, Abschlussbericht (2002) 0.01
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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.

Hartley, J.; Sydes, M.: Which layout do you prefer? : an analysis of readers' preferences for different typographic layouts of structured abstracts (1996) 0.01

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Source: Journal of information science. 22(1996) no.1, S.27-37

Ward, M.L.: ¬The future of the human indexer (1996) 0.01

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Date: 9. 2.1997 18:44:22

Wan, X.; Yang, J.; Xiao, J.: Incorporating cross-document relationships between sentences for single document summarizations (2006) 0.01

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Source: Research and advanced technology for digital libraries : 10th European conference, proceedings / ECDL 2006, Alicante, Spain, September 17 - 22, 2006

Hartley, J.; Sydes, M.; Blurton, A.: Obtaining information accurately and quickly : are structured abstracts more efficient? (1996) 0.01

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Source: Journal of information science. 22(1996) no.5, S.349-356

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