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  1. Kuropka, D.: Modelle zur Repräsentation natürlichsprachlicher Dokumente : Ontologie-basiertes Information-Filtering und -Retrieval mit relationalen Datenbanken (2004) 0.45 
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    Abstract
    Kostengünstige Massenspeicher und die zunehmende Vernetzung von Rechnern haben die Anzahl der Dokumente, auf die ein einzelnes Individuum zugreifen kann (bspw. Webseiten) oder die auf das Individuum einströmen (bspw. E-Mails), in den letzten Jahren rapide ansteigen lassen. In immer mehr Bereichen der Wirtschaft, Wissenschaft und Verwaltung nimmt der Bedarf an hochwertigen Information-Filtering und -Retrieval Werkzeugen zur Beherrschung der Informationsflut zu. Zur computergestützten Lösung dieser Problemstellung sind Modelle zur Repräsentation natürlichsprachlicher Dokumente erforderlich, um formale Kriterien für die automatisierte Auswahl relevanter Dokumente definieren zu können. Dominik Kuropka gibt in seiner Arbeit eine umfassende Übersicht über den Themenbereich der Suche und Filterung von natürlichsprachlichen Dokumenten. Es wird eine Vielzahl von Modellen aus Forschung und Praxis vorgestellt und evaluiert. Auf den Ergebnissen aufbauend wird das Potenzial von Ontologien in diesem Zusammenhang eruiert und es wird ein neues, ontologie-basiertes Modell für das Information-Filtering und -Retrieval erarbeitet, welches anhand von Text- und Code-Beispielen ausführlich erläutert wird. Das Buch richtet sich an Dozenten und Studenten der Informatik, Wirtschaftsinformatik und (Computer-)Linguistik sowie an Systemdesigner und Entwickler von dokumentenorientierten Anwendungssystemen und Werkzeugen.
    RSWK
    Natürlichsprachiges System / Dokumentverarbeitung / Wissensrepräsentation / Benutzermodell / Information Retrieval / Relationales Datenmodell
    Natürlichsprachiges System / Dokumentverarbeitung / Wissensrepräsentation / Benutzermodell / Informationsauswahl / Relationales Datenmodell
    Series
    Advances in information systems and management science; 10
    Subject
    Natürlichsprachiges System / Dokumentverarbeitung / Wissensrepräsentation / Benutzermodell / Information Retrieval / Relationales Datenmodell
    Natürlichsprachiges System / Dokumentverarbeitung / Wissensrepräsentation / Benutzermodell / Informationsauswahl / Relationales Datenmodell
  2. Kuropka, D.: Modelle zur Repräsentation natürlichsprachlicher Dokumente : Ontologie-basiertes Information-Filtering und -Retrieval mit relationalen Datenbanken (2004) 0.45 
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    Abstract
    Kostengünstige Massenspeicher und die zunehmende Vernetzung von Rechnern haben die Anzahl der Dokumente, auf die ein einzelnes Individuum zugreifen kann (bspw. Webseiten) oder die auf das Individuum einströmen (bspw. E-Mails), in den letzten Jahren rapide ansteigen lassen. In immer mehr Bereichen der Wirtschaft, Wissenschaft und Verwaltung nimmt der Bedarf an hochwertigen Information-Filtering und -Retrieval Werkzeugen zur Beherrschung der Informationsflut zu. Zur computergestützten Lösung dieser Problemstellung sind Modelle zur Repräsentation natürlichsprachlicher Dokumente erforderlich, um formale Kriterien für die automatisierte Auswahl relevanter Dokumente definieren zu können. Dominik Kuropka gibt in seiner Arbeit eine umfassende Übersicht über den Themenbereich der Suche und Filterung von natürlichsprachlichen Dokumenten. Es wird eine Vielzahl von Modellen aus Forschung und Praxis vorgestellt und evaluiert. Auf den Ergebnissen aufbauend wird das Potenzial von Ontologien in diesem Zusammenhang eruiert und es wird ein neues, ontologie-basiertes Modell für das Information-Filtering und -Retrieval erarbeitet, welches anhand von Text- und Code-Beispielen ausführlich erläutert wird. Das Buch richtet sich an Dozenten und Studenten der Informatik, Wirtschaftsinformatik und (Computer-)Linguistik sowie an Systemdesigner und Entwickler von dokumentenorientierten Anwendungssystemen und Werkzeugen.
    RSWK
    Natürlichsprachiges System / Dokumentverarbeitung / Wissensrepräsentation / Benutzermodell / Information Retrieval / Relationales Datenmodell
    Natürlichsprachiges System / Dokumentverarbeitung / Wissensrepräsentation / Benutzermodell / Informationsauswahl / Relationales Datenmodell
    Series
    Advances in information systems and management science; 10
    Subject
    Natürlichsprachiges System / Dokumentverarbeitung / Wissensrepräsentation / Benutzermodell / Information Retrieval / Relationales Datenmodell
    Natürlichsprachiges System / Dokumentverarbeitung / Wissensrepräsentation / Benutzermodell / Informationsauswahl / Relationales Datenmodell
  3. Mas, S.; Marleau, Y.: Proposition of a faceted classification model to support corporate information organization and digital records management (2009) 0.36 
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    Abstract
    The employees of an organization often use a personal hierarchical classification scheme to organize digital documents that are stored on their own workstations. As this may make it hard for other employees to retrieve these documents, there is a risk that the organization will lose track of needed documentation. Furthermore, the inherent boundaries of such a hierarchical structure require making arbitrary decisions about which specific criteria the classification will b.e based on (for instance, the administrative activity or the document type, although a document can have several attributes and require classification in several classes).A faceted classification model to support corporate information organization is proposed. Partially based on Ranganathan's facets theory, this model aims not only to standardize the organization of digital documents, but also to simplify the management of a document throughout its life cycle for both individuals and organizations, while ensuring compliance to regulatory and policy requirements.
    Footnote
    Vgl.: http://ieeexplore.ieee.org/Xplore/login.jsp?reload=true&url=http%3A%2F%2Fieeexplore.ieee.org%2Fiel5%2F4755313%2F4755314%2F04755480.pdf%3Farnumber%3D4755480&authDecision=-203.
    Source
    System Sciences, 2009. HICSS '09. 42nd Hawaii International Conference
  4. Schrodt, R.: Tiefen und Untiefen im wissenschaftlichen Sprachgebrauch (2008) 0.35 
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    Content
    Vgl. auch: https://studylibde.com/doc/13053640/richard-schrodt. Vgl. auch: http%3A%2F%2Fwww.univie.ac.at%2FGermanistik%2Fschrodt%2Fvorlesung%2Fwissenschaftssprache.doc&usg=AOvVaw1lDLDR6NFf1W0-oC9mEUJf.
  5. Hotho, A.; Bloehdorn, S.: Data Mining 2004 : Text classification by boosting weak learners based on terms and concepts (2004) 0.31 
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    Content
    Vgl.: http://www.google.de/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&cad=rja&ved=0CEAQFjAA&url=http%3A%2F%2Fciteseerx.ist.psu.edu%2Fviewdoc%2Fdownload%3Fdoi%3D10.1.1.91.4940%26rep%3Drep1%26type%3Dpdf&ei=dOXrUMeIDYHDtQahsIGACg&usg=AFQjCNHFWVh6gNPvnOrOS9R3rkrXCNVD-A&sig2=5I2F5evRfMnsttSgFF9g7Q&bvm=bv.1357316858,d.Yms.
    Date
    8. 1.2013 10:22:32
  6. Vetere, G.; Lenzerini, M.: Models for semantic interoperability in service-oriented architectures (2005) 0.30 
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    Content
    Vgl.: http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=5386707&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D5386707.
  7. Stojanovic, N.: Ontology-based Information Retrieval : methods and tools for cooperative query answering (2005) 0.30 
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    Abstract
    By the explosion of possibilities for a ubiquitous content production, the information overload problem reaches the level of complexity which cannot be managed by traditional modelling approaches anymore. Due to their pure syntactical nature traditional information retrieval approaches did not succeed in treating content itself (i.e. its meaning, and not its representation). This leads to a very low usefulness of the results of a retrieval process for a user's task at hand. In the last ten years ontologies have been emerged from an interesting conceptualisation paradigm to a very promising (semantic) modelling technology, especially in the context of the Semantic Web. From the information retrieval point of view, ontologies enable a machine-understandable form of content description, such that the retrieval process can be driven by the meaning of the content. However, the very ambiguous nature of the retrieval process in which a user, due to the unfamiliarity with the underlying repository and/or query syntax, just approximates his information need in a query, implies a necessity to include the user in the retrieval process more actively in order to close the gap between the meaning of the content and the meaning of a user's query (i.e. his information need). This thesis lays foundation for such an ontology-based interactive retrieval process, in which the retrieval system interacts with a user in order to conceptually interpret the meaning of his query, whereas the underlying domain ontology drives the conceptualisation process. In that way the retrieval process evolves from a query evaluation process into a highly interactive cooperation between a user and the retrieval system, in which the system tries to anticipate the user's information need and to deliver the relevant content proactively. Moreover, the notion of content relevance for a user's query evolves from a content dependent artefact to the multidimensional context-dependent structure, strongly influenced by the user's preferences. This cooperation process is realized as the so-called Librarian Agent Query Refinement Process. In order to clarify the impact of an ontology on the retrieval process (regarding its complexity and quality), a set of methods and tools for different levels of content and query formalisation is developed, ranging from pure ontology-based inferencing to keyword-based querying in which semantics automatically emerges from the results. Our evaluation studies have shown that the possibilities to conceptualize a user's information need in the right manner and to interpret the retrieval results accordingly are key issues for realizing much more meaningful information retrieval systems.
    Content
    Vgl.: http%3A%2F%2Fdigbib.ubka.uni-karlsruhe.de%2Fvolltexte%2Fdocuments%2F1627&ei=tAtYUYrBNoHKtQb3l4GYBw&usg=AFQjCNHeaxKkKU3-u54LWxMNYGXaaDLCGw&sig2=8WykXWQoDKjDSdGtAakH2Q&bvm=bv.44442042,d.Yms.
  8. Donsbach, W.: Wahrheit in den Medien : über den Sinn eines methodischen Objektivitätsbegriffes (2001) 0.26 
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    Source
    Politische Meinung. 381(2001) Nr.1, S.65-74 [https%3A%2F%2Fwww.dgfe.de%2Ffileadmin%2FOrdnerRedakteure%2FSektionen%2FSek02_AEW%2FKWF%2FPublikationen_Reihe_1989-2003%2FBand_17%2FBd_17_1994_355-406_A.pdf&usg=AOvVaw2KcbRsHy5UQ9QRIUyuOLNi]
    Theme
    Information
  9. Manning, C.D.; Raghavan, P.; Schütze, H.: Introduction to information retrieval (2008) 0.06 
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    Abstract
    Class-tested and coherent, this textbook teaches information retrieval, including web search, text classification, and text clustering from basic concepts. Ideas are explained using examples and figures, making it perfect for introductory courses in information retrieval for advanced undergraduates and graduate students. Slides and additional exercises are available for lecturers. - This book provides what Salton and Van Rijsbergen both failed to achieve. Even more important, unlike some other books in IR, the authors appear to care about making the theory as accessible as possible to the reader, on occasion including short primers to certain topics or choosing to explain difficult concepts using simplified approaches. Its coverage [is] excellent, the quality of writing high and I was surprised how much I learned from reading it. I think the online resources are impressive.
    Content
    Inhalt: Boolean retrieval - The term vocabulary & postings lists - Dictionaries and tolerant retrieval - Index construction - Index compression - Scoring, term weighting & the vector space model - Computing scores in a complete search system - Evaluation in information retrieval - Relevance feedback & query expansion - XML retrieval - Probabilistic information retrieval - Language models for information retrieval - Text classification & Naive Bayes - Vector space classification - Support vector machines & machine learning on documents - Flat clustering - Hierarchical clustering - Matrix decompositions & latent semantic indexing - Web search basics - Web crawling and indexes - Link analysis Vgl. die digitale Fassung unter: http://nlp.stanford.edu/IR-book/pdf/irbookprint.pdf.
    LCSH
    Information retrieval
    RSWK
    Dokumentverarbeitung / Information Retrieval / Abfrageverarbeitung (GBV)
    Information Retrieval / Einführung (BVB)
    Subject
    Dokumentverarbeitung / Information Retrieval / Abfrageverarbeitung (GBV)
    Information Retrieval / Einführung (BVB)
    Information retrieval
  10. Colomb, R.M.: Information spaces : the architecture of cyberspace (2002) 0.05 
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    Abstract
    The Architecture of Cyberspace is aimed at students taking information management as a minor in their course as well as those who manage document collections but who are not professional librarians. The first part of this book looks at how users find documents and the problems they have; the second part discusses how to manage the information space using various tools such as classification and controlled vocabularies. It also explores the general issues of publishing, including legal considerations, as well the main issues of creating and managing archives. Supported by exercises and discussion questions at the end of each chapter, the book includes some sample assignments suitable for use with students of this subject. A glossary is also provided to help readers understand the specialised vocabulary and the key concepts in the design and assessment of information spaces.
    LCSH
    Information technology
    Information retrieval
    Information resources management
    RSWK
    Information Engineering / Lehrbuch
    Information Retrieval / Lehrbuch
    Dokumentverarbeitung / Lehrbuch
    Subject
    Information Engineering / Lehrbuch
    Information Retrieval / Lehrbuch
    Dokumentverarbeitung / Lehrbuch
    Information technology
    Information retrieval
    Information resources management
  11. Meier, A.: Relationale Datenbanken : eine Einführung für die Praxis (2001) 0.04 
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    Abstract
    Gibt eine umfassende Einführung in das Gebiet der relationalen Datenbanken. Es ist das erste deutschsprachige Werk, das sich auf die relationale Datenbanktechnologie beschränkt und zugleich die Datenbankentwurfsmethodik, Sprachaspekte, Systemarchitekturen und neuere Technologien umfassend und für den Praktiker verständlich behandelt. Bei der Datenmodellierung werden Abbildungsregeln zum Überführen eines Entitäten-Beziehungsmodells in ein relationales Datenbankschema behandelt, Normalformen diskutiert und ein unternehmensweites Datenmodell veranschaulicht. Die Diskussion relationaler Abfrage- und Manipulationssprachen geht grundlegend auf die Relationenalgebra ein, erläutert den Begriff relational vollständiger Sprachen und gibt einen Überblick über die bedeutenden Sprachen SQL, QUEL und QBE
  12. Kobsa, A.: Adaptive Verfahren : Benutzermodellierung (2004) 0.03 
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    Abstract
    Informationssysteme werden laufend komplexer und funktionsreicher und die damit zugreifbaren Informationsräume immer umfangreicher. Auf der anderen Seite steigt die Anzahl und insbesondere auch die Vielfalt der Nutzer solcher Systeme. Der weitaus größte Anteil von neuen Nutzern sind dabei keine technischen Experten, sondern Berufstätige in nicht-technischen Disziplinen, ältere Personen und Kinder. Diese Computerbenutzer weisen große Unterschiede auf in Bezug auf ihre Computererfahrung, Fachkenntnisse, Aufgaben und Ziele, Motivation und Stimmungslage, als auch ihre intellektuellen und physischen Fähigkeiten. Um diesen sehr heterogenen Nutzergruppen trotzdem zu ermöglichen, die Komplexität und Reichhaltigkeit gegenwärtiger Informationssysteme zu bewältigen, wurde die Benutzung dieser Systeme bisher sehr einfach gestaltet, und damit auf den "kleinsten gemeinsamen Nenner" aller Benutzer abgestellt. Zunehmend können solche Systeme jedoch manuell auf die individuellen Bedürfnisse jedes einzelnen Benutzers einstellt werden. Einige neuere Systeme gehen noch darüber hinaus: Sie sind innerhalb gewisser Grenzen in der Lage, Benutzerbedürfnisse selbst zu erkennen und sich entsprechend anzupassen. Die Terminologie von Oppermann aufgreifend wollen wir hier die erstere Art von Anwendung als "(benutzer)-adaptierbar" bezeichnen und die letztere als "(benutzer)-adaptiv". Die im System gespeicherten Informationen oder Annahmen über den Benutzer werden üblicherweise "Benutzermodell" oder "Benutzerprofil" genannt.
    Source
    Grundlagen der praktischen Information und Dokumentation. 5., völlig neu gefaßte Ausgabe. 2 Bde. Hrsg. von R. Kuhlen, Th. Seeger u. D. Strauch. Begründet von Klaus Laisiepen, Ernst Lutterbeck, Karl-Heinrich Meyer-Uhlenried. Bd.1: Handbuch zur Einführung in die Informationswissenschaft und -praxis
  13. Buxton, A.; Hopkinson, A.: ¬The CDS/ISIS for Windows handbook (2001) 0.03 
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    COMPASS
    Information retrieval / Use of / On-line computers
    LCSH
    ISIS (Information retrieval system) / Handbooks, manuals, etc.
    Information storage and retrieval systems / Handbooks, manuals, etc.
    Subject
    ISIS (Information retrieval system) / Handbooks, manuals, etc.
    Information storage and retrieval systems / Handbooks, manuals, etc.
    Information retrieval / Use of / On-line computers
  14. Schlenkrich, C.: Aspekte neuer Regelwerksarbeit : Multimediales Datenmodell für ARD und ZDF (2003) 0.02 
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    Abstract
    Wir sind mitten in der Arbeit, deshalb kann ich Ihnen nur Arbeitsstände weitergeben. Es ist im Fluss, und wir bemühen uns in der Tat, die "alten Regelwerke" fit zu machen und sie für den Multimediabereich aufzuarbeiten. Ganz kurz zur Arbeitsgruppe: Sie entstammt der AG Orgatec, der Schall- und Hörfunkarchivleiter- und der Fernseharchivleiterkonferenz zur Erstellung eines verbindlichen multimedialen Regelwerks. Durch die Digitalisierung haben sich die Aufgaben in den Archivbereichen eindeutig geändert. Wir versuchen, diese Prozesse abzufangen, und zwar vom Produktionsprozess bis hin zur Archivierung neu zu regeln und neu zu definieren. Wir haben mit unserer Arbeit begonnen im April letzten Jahres, sind also jetzt nahezu exakt ein Jahr zugange, und ich werde Ihnen im Laufe des kurzen Vortrages berichten können, wie wir unsere Arbeit gestaltet haben. Etwas zu den Mitgliedern der Arbeitsgruppe - ich denke, es ist ganz interessant, einfach mal zu sehen, aus welchen Bereichen und Spektren unsere Arbeitsgruppe sich zusammensetzt. Wir haben also Vertreter des Bayrischen Rundfunks, des Norddeutschen -, des Westdeutschen Rundfunks, des Mitteldeutschen von Ost nach West, von Süd nach Nord und aus den verschiedensten Arbeitsbereichen von Audio über Video bis hin zu Online- und Printbereichen. Es ist eine sehr bunt gemischte Truppe, aber auch eine hochspannenden Diskussion exakt eben aufgrund der Vielfalt, die wir abbilden wollen und abbilden müssen. Die Ziele: Wir wollen verbindlich ein multimediales Datenmodell entwickeln und verabschieden, was insbesondere den digitalen Produktionscenter und Archiv-Workflow von ARD und - da haben wir uns besonders gefreut - auch in guter alter Tradition in gemeinsamer Zusammenarbeit mit dem ZDF bildet. Wir wollen Erfassungs- und Erschließungsregeln definieren. Wir wollen Mittlerdaten generieren und bereitstellen, um den Produktions-Workflow abzubilden und zu gewährleisten, und das Datenmodell, das wir uns sozusagen als Zielstellung definiert haben, soll für den Programmaustausch Grundlagen schaffen, damit von System zu System intern und extern kommuniziert werden kann. Nun könnte man meinen, dass ein neues multimediales Datenmodell aus einem Mix der alten Regelwerke Fernsehen, Wort und Musik recht einfach zusammenzuführen sei. Man stellt einfach die Datenlisten der einzelnen Regelwerke synoptisch gegenüber, klärt Gemeinsames und Spezifisches ab, ergänzt Fehlendes, eliminiert eventuell nicht Benötigtes und stellt es einfach neu zusammen, fertig ist das neue Regelwerk. Leider ist es nicht ganz so einfach, denn es gibt dabei doch eine ganze Reihe von Aspekten zu berücksichtigen, die eine vorgelagerte Abstraktionsebene auch zwingend erforderlich machen.
    Date
    22. 4.2003 12:05:56
  15. Medien-Informationsmanagement : Archivarische, dokumentarische, betriebswirtschaftliche, rechtliche und Berufsbild-Aspekte ; [Frühjahrstagung der Fachgruppe 7 im Jahr 2000 in Weimar und Folgetagung 2001 in Köln] (2003) 0.02 
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    Abstract
    Als in den siebziger Jahren des vergangenen Jahrhunderts immer häufiger die Bezeichnung Informationsmanager für Leute propagiert wurde, die bis dahin als Dokumentare firmierten, wurde dies in den etablierten Kreisen der Archivare und Bibliothekare gelegentlich belächelt und als Zeichen einer Identitätskrise oder jedenfalls einer Verunsicherung des damit überschriebenen Berufsbilds gewertet. Für den Berufsstand der Medienarchivare/Mediendokumentare, die sich seit 1960 in der Fachgruppe 7 des Vereins, später Verbands deutscher Archivare (VdA) organisieren, gehörte diese Verortung im Zeichen neuer inhaltlicher Herausforderungen (Informationsflut) und Technologien (EDV) allerdings schon früh zu den Selbstverständlichkeiten des Berufsalltags. "Halt, ohne uns geht es nicht!" lautete die Überschrift eines Artikels im Verbandsorgan "Info 7", der sich mit der Einrichtung von immer mächtigeren Leitungsnetzen und immer schnelleren Datenautobahnen beschäftigte. Information, Informationsgesellschaft: diese Begriffe wurden damals fast nur im technischen Sinne verstanden. Die informatisierte, nicht die informierte Gesellschaft stand im Vordergrund - was wiederum Kritiker auf den Plan rief, von Joseph Weizenbaum in den USA bis hin zu den Informations-Ökologen in Bremen. Bei den nationalen, manchmal auch nur regionalen Projekten und Modellversuchen mit Datenautobahnen - auch beim frühen Btx - war nie so recht deutlich geworden, welche Inhalte in welcher Gestalt durch diese Netze und Straßen gejagt werden sollten und wer diese Inhalte eigentlich selektieren, portionieren, positionieren, kurz: managen sollte. Spätestens mit dem World Wide Web sind diese Projekte denn auch obsolet geworden, jedenfalls was die Hardware und Software anging. Geblieben ist das Thema Inhalte (neudeutsch: Content). Und - immer drängender im nicht nur technischen Verständnis - das Thema Informationsmanagement. MedienInformationsManagement war die Frühjahrstagung der Fachgruppe 7 im Jahr 2000 in Weimar überschrieben, und auch die Folgetagung 2001 in Köln, die der multimedialen Produktion einen dokumentarischen Pragmatismus gegenüber stellte, handelte vom Geschäftsfeld Content und von Content-Management-Systemen. Die in diesem 6. Band der Reihe Beiträge zur Mediendokumentation versammelten Vorträge und Diskussionsbeiträge auf diesen beiden Tagungen beleuchten das Titel-Thema aus den verschiedensten Blickwinkeln: archivarischen, dokumentarischen, kaufmännischen, berufsständischen und juristischen. Deutlich wird dabei, daß die Berufsbezeichnung Medienarchivarln/Mediendokumentarln ziemlich genau für all das steht, was heute mit sog. alten wie neuen Medien im organisatorischen, d.h. ordnenden und vermittelnden Sinne geschieht. Im besonderen Maße trifft dies auf das Internet und die aus ihm geborenen Intranets zu. Beide bedürfen genauso der ordnenden Hand, die sich an den alten Medien, an Buch, Zeitung, Tonträger, Film etc. geschult hat, denn sie leben zu großen Teilen davon. Daß das Internet gleichwohl ein Medium sui generis ist und die alten Informationsberufe vor ganz neue Herausforderungen stellt - auch das durchzieht die Beiträge von Weimar und Köln.
    Content
    Enthält u.a. die Beiträge (Dokumentarische Aspekte): Günter Perers/Volker Gaese: Das DocCat-System in der Textdokumentation von Gr+J (Weimar 2000) Thomas Gerick: Finden statt suchen. Knowledge Retrieval in Wissensbanken. Mit organisiertem Wissen zu mehr Erfolg (Weimar 2000) Winfried Gödert: Aufbereitung und Rezeption von Information (Weimar 2000) Elisabeth Damen: Klassifikation als Ordnungssystem im elektronischen Pressearchiv (Köln 2001) Clemens Schlenkrich: Aspekte neuer Regelwerksarbeit - Multimediales Datenmodell für ARD und ZDF (Köln 2001) Josef Wandeler: Comprenez-vous only Bahnhof'? - Mehrsprachigkeit in der Mediendokumentation (Köln 200 1)
    Date
    11. 5.2008 19:49:22
    LCSH
    Information technology / Management / Congresses
    Subject
    Information technology / Management / Congresses
  16. Hawking, D.; Robertson, S.: On collection size and retrieval effectiveness (2003) 0.02 
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    Date
    14. 8.2005 14:22:22
    Source
    Information retrieval. 6(2003) no.1, S.99-150
  17. Koch, J.H.: Unterstützung der Formierung und Analyse von virtuellen Communities (2003) 0.02 
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    RSWK
    Virtuelle Gemeinschaft / Benutzermodell / Formale Beschreibungstechnik / Komponente <Software> / Unterstützungssystem <Informatik>
    Electronic villages (Computer networks) / Virtuelle Gemeinschaft / Benutzermodell / Formale Beschreibungstechnik / Komponente <Software> / Unterstutzungssystem <Informatik>
    Subject
    Virtuelle Gemeinschaft / Benutzermodell / Formale Beschreibungstechnik / Komponente <Software> / Unterstützungssystem <Informatik>
    Electronic villages (Computer networks) / Virtuelle Gemeinschaft / Benutzermodell / Formale Beschreibungstechnik / Komponente <Software> / Unterstutzungssystem <Informatik>
  18. Torra, V.; Lanau, S.; Miyamoto, S.: Image clustering for the exploration of video sequences (2006) 0.02 
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    Abstract
    In this article we present a system for the exploration of video sequences. The system, GAMBAL for the Exploration of Video Sequences (GAMBAL-EVS), segments video sequences, extracting an image for each shot, and then clusters such images and presents them in a visualization system. The system allows the user to find similarities between images and to proceed through the video sequences to find the relevant ones.
    Date
    22. 7.2006 17:15:51
    Footnote
    Beitrag in einer Special Topic Section on Soft Approaches to Information Retrieval and Information Access on the Web
    Source
    Journal of the American Society for Information Science and Technology. 57(2006) no.4, S.577-584
  19. López Vargas, M.A.: "Ilmenauer Verteiltes Information REtrieval System" (IVIRES) : eine neue Architektur zur Informationsfilterung in einem verteilten Information Retrieval System (2002) 0.02 
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  20. Wolfram, D.: Applied informetrics for information retrieval research (2003) 0.02 
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    Abstract
    The author demonstrates how informetric analysis of information retrieval system content and use provides valuable insights that have applications for the modelling, design, and evaluation of information retrieval systems.

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