Search (21 results, page 1 of 2)

Newman, D.J.; Block, S.: Probabilistic topic decomposition of an eighteenth-century American newspaper (2006) 0.04

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Date: 22. 7.2006 17:32:00
Source: Journal of the American Society for Information Science and Technology. 57(2006) no.6, S.753-767

Hlava, M.M.K.: Automatic indexing : comparing rule-based and statistics-based indexing systems (2005) 0.02

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Source: Information outlook. 9(2005) no.8, S.22-23

Hauer, M.: Automatische Indexierung (2000) 0.02

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Source: Wissen in Aktion: Wege des Knowledge Managements. 22. Online-Tagung der DGI, Frankfurt am Main, 2.-4.5.2000. Proceedings. Hrsg.: R. Schmidt

Lepsky, K.; Vorhauer, J.: Lingo - ein open source System für die Automatische Indexierung deutschsprachiger Dokumente (2006) 0.01

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Date: 24. 3.2006 12:22:02

Probst, M.; Mittelbach, J.: Maschinelle Indexierung in der Sacherschließung wissenschaftlicher Bibliotheken (2006) 0.01

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Date: 22. 3.2008 12:35:19

Hlava, M.M.: Automatic indexing : a matter of degree (2002) 0.01

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Source: Bulletin of the American Society for Information Science. 28(2002) no.1, S.12-15

Renz, M.: Automatische Inhaltserschließung im Zeichen von Wissensmanagement (2001) 0.01

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Date: 22. 3.2001 13:14:48

Lorenz, S.: Konzeption und prototypische Realisierung einer begriffsbasierten Texterschließung (2006) 0.01

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Date: 22. 3.2015 9:17:30

Mongin, L.; Fu, Y.Y.; Mostafa, J.: Open Archives data Service prototype and automated subject indexing using D-Lib archive content as a testbed (2003) 0.01
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Abstract

The Indiana University School of Library and Information Science opened a new research laboratory in January 2003; The Indiana University School of Library and Information Science Information Processing Laboratory [IU IP Lab]. The purpose of the new laboratory is to facilitate collaboration between scientists in the department in the areas of information retrieval (IR) and information visualization (IV) research. The lab has several areas of focus. These include grid and cluster computing, and a standard Java-based software platform to support plug and play research datasets, a selection of standard IR modules and standard IV algorithms. Future development includes software to enable researchers to contribute datasets, IR algorithms, and visualization algorithms into the standard environment. We decided early on to use OAI-PMH as a resource discovery tool because it is consistent with our mission.
Humphrey, S.M.; Névéol, A.; Browne, A.; Gobeil, J.; Ruch, P.; Darmoni, S.J.: Comparing a rule-based versus statistical system for automatic categorization of MEDLINE documents according to biomedical specialty (2009) 0.01
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Abstract

Automatic document categorization is an important research problem in Information Science and Natural Language Processing. Many applications, including, Word Sense Disambiguation and Information Retrieval in large collections, can benefit from such categorization. This paper focuses on automatic categorization of documents from the biomedical literature into broad discipline-based categories. Two different systems are described and contrasted: CISMeF, which uses rules based on human indexing of the documents by the Medical Subject Headings (MeSH) controlled vocabulary in order to assign metaterms (MTs), and Journal Descriptor Indexing (JDI), based on human categorization of about 4,000 journals and statistical associations between journal descriptors (JDs) and textwords in the documents. We evaluate and compare the performance of these systems against a gold standard of humanly assigned categories for 100 MEDLINE documents, using six measures selected from trec_eval. The results show that for five of the measures performance is comparable, and for one measure JDI is superior. We conclude that these results favor JDI, given the significantly greater intellectual overhead involved in human indexing and maintaining a rule base for mapping MeSH terms to MTs. We also note a JDI method that associates JDs with MeSH indexing rather than textwords, and it may be worthwhile to investigate whether this JDI method (statistical) and CISMeF (rule-based) might be combined and then evaluated showing they are complementary to one another.

Source

Journal of the American Society for Information Science and Technology. 60(2009) no.12, S.2530-2539

Scherer, B.: Automatische Indexierung und ihre Anwendung im DFG-Projekt "Gemeinsames Portal für Bibliotheken, Archive und Museen (BAM)" (2003) 0.01

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Footnote: Masterarbeit im Studiengang Information Engineering zur Erlagung des Grades eines Master of Science in Information science,

Nohr, H.: Grundlagen der automatischen Indexierung : ein Lehrbuch (2003) 0.01

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Date: 22. 6.2009 12:46:51

Dolamic, L.; Savoy, J.: When stopword lists make the difference (2009) 0.01

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Source: Journal of the American Society for Information Science and Technology. 61(2010) no.1, S.200-203

Medelyan, O.; Witten, I.H.: Domain-independent automatic keyphrase indexing with small training sets (2008) 0.01

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Source: Journal of the American Society for Information Science and Technology. 59(2008) no.7, S.1026-1040

Chung, Y.M.; Lee, J.Y.: ¬A corpus-based approach to comparative evaluation of statistical term association measures (2001) 0.01

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Source: Journal of the American Society for Information Science and technology. 52(2001) no.4, S.283-296

Li, W.; Wong, K.-F.; Yuan, C.: Toward automatic Chinese temporal information extraction (2001) 0.01

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Source: Journal of the American Society for Information Science and technology. 52(2001) no.9, S.748-762

Jones, S.; Paynter, G.W.: Automatic extractionof document keyphrases for use in digital libraries : evaluations and applications (2002) 0.01

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Source: Journal of the American Society for Information Science and technology. 53(2002) no.8, S.653-677

Mittelbach, J.; Probst, M.: Möglichkeiten und Grenzen maschineller Indexierung in der Sacherschließung : Strategien für das Bibliothekssystem der Freien Universität Berlin (2006) 0.01
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Abstract

Automatische Indexierung wird zunehmend als sinnvolle Möglichkeit erkannt, Daten für Informationsretrievalsysteme zu erzeugen und somit die Auffindbarkeit von Do-kumenten zu erhöhen. Die dafür geeigneten Methoden sind seit geraumer Zeit bekannt und umfassen statistische bzw. computerlinguistische Sprachanalysetechniken, die im Gegensatz zur gebräuchlichen Freitextinvertierung entscheidende Vor-teile hinsichtlich des Retrievals bieten. So bilden erst die Wortformenreduzierung und die semantische Zerlegung sowie die Gewichtung der ermittelten Indexterme die Grundlagen für die gezielte sachliche Suche im Online-Katalog. Entsprechende Ver-fahren, die sich für Bibliotheken eignen, stehen seit Mitte der neunziger Jahre auch für den praktischen Einsatz bereit und werden - nicht zuletzt aufgrund steigender Akzeptanz - ständig weiterentwickelt. Dabei geht es nicht nur um die Steigerung der allgemeinen Leistungsfähigkeit von maschinellen Indexierungssystemen, sondern auch um ihre Fähigkeit, die im Bibliothekswesen verfügbare, sehr heterogene Daten-grundlage optimal zu nutzen. Wichtige Kriterien sind zudem eine vertretbare Fehler-quote, die Integrierbarkeit in die Geschäftsgänge und die Darstellbarkeit der anfal-lenden Datenmengen in entsprechenden Datenrepräsentationsmodellen. Im Fokus der Untersuchung stehen die allgemeine Betrachtung der Vor- und Nachteile der beiden gängigen Indexierungssysteme MILOS und intelligentCAPTURE sowie die Möglichkeiten und Grenzen ihres Einsatzes im Bibliothekssystem der Freien Universität Berlin. Diese Veröffentlichung geht zurück auf eine Master-Arbeit im postgradualen Fernstudiengang Master of Arts (Library and Information Science) an der Humboldt-Universität zu Berlin. Online-Version: http://www.ib.hu-berlin.de/~kumlau/handreichungen/h183/

Dolamic, L.; Savoy, J.: Indexing and searching strategies for the Russian language (2009) 0.01

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Source: Journal of the American Society for Information Science and Technology. 60(2009) no.12, S.2540-2547

Schneider, A.: Moderne Retrievalverfahren in klassischen bibliotheksbezogenen Anwendungen : Projekte und Perspektiven (2008) 0.00
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Abstract

Die vorliegende Arbeit beschäftigt sich mit modernen Retrievalverfahren in klassischen bibliotheksbezogenen Anwendungen. Wie die Verbindung der beiden gegensätzlich scheinenden Wortgruppen im Titel zeigt, werden in der Arbeit Aspekte aus der Informatik bzw. Informationswissenschaft mit Aspekten aus der Bibliothekstradition verknüpft. Nach einer kurzen Schilderung der Ausgangslage, der so genannten Informationsflut, im ersten Kapitel stellt das zweite Kapitel eine Einführung in die Theorie des Information Retrieval dar. Im Einzelnen geht es um die Grundlagen von Information Retrieval und Information-Retrieval-Systemen sowie um die verschiedenen Möglichkeiten der Informationserschließung. Hier werden Formal- und Sacherschließung, Indexierung und automatische Indexierung behandelt. Des Weiteren werden im Rahmen der Theorie des Information Retrieval unterschiedliche Information-Retrieval-Modelle und die Evaluation durch Retrievaltests vorgestellt. Nach der Theorie folgt im dritten Kapitel die Praxis des Information Retrieval. Es werden die organisationsinterne Anwendung, die Anwendung im Informations- und Dokumentationsbereich sowie die Anwendung im Bibliotheksbereich unterschieden. Die organisationsinterne Anwendung wird durch das Beispiel der Datenbank KURS zur Aus- und Weiterbildung veranschaulicht. Die Anwendung im Bibliotheksbereich bezieht sich in erster Linie auf den OPAC als Kompromiss zwischen bibliothekarischer Indexierung und Endnutzeranforderungen und auf seine Anreicherung (sog. Catalogue Enrichment), um das Retrieval zu verbessern. Der Bibliotheksbereich wird ausführlicher behandelt, indem ein Rückblick auf abgeschlossene Projekte zu Informations- und Indexierungssystemen aus den Neunziger Jahren (OSIRIS, MILOS I und II, KASCADE) sowie ein Einblick in aktuelle Projekte gegeben werden. In den beiden folgenden Kapiteln wird je ein aktuelles Projekt zur Verbesserung des Retrievals durch Kataloganreicherung, automatische Erschließung und fortschrittliche Retrievalverfahren präsentiert: das Suchportal dandelon.com und das 180T-Projekt des Hochschulbibliothekszentrums des Landes Nordrhein-Westfalen. Hierbei werden jeweils Projektziel, Projektpartner, Projektorganisation, Projektverlauf und die verwendete Technologie vorgestellt. Die Projekte unterscheiden sich insofern, dass in dem einen Fall eine große Verbundzentrale die Projektkoordination übernimmt, im anderen Fall jede einzelne teilnehmende Bibliothek selbst für die Durchführung verantwortlich ist. Im sechsten und letzten Kapitel geht es um das Fazit und die Perspektiven. Es werden sowohl die beiden beschriebenen Projekte bewertet als auch ein Ausblick auf Entwicklungen bezüglich des Bibliothekskatalogs gegeben. Diese Veröffentlichung geht zurück auf eine Master-Arbeit im postgradualen Fernstudiengang Master of Arts (Library and Information Science) an der Humboldt-Universität zu Berlin.

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