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  1. Information Retrieval for the Digital Humanities
    Autor*in: Gollub, Tim
    Erschienen: 2022
    Verlag:  Fakultät Medien / Professur Content Management - Web-Technologien, Weimar

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    Quelle: Verbundkataloge
    Beteiligt: Stein, Benno (Akademischer Betreuer)
    Sprache: Englisch
    Medientyp: Dissertation
    Format: Online
    Weitere Identifier:
    Schlagworte: Information Retrieval; Explorative Suche; Digital Humanities
    Weitere Schlagworte: keyqueries
    Umfang: Online-Ressource
    Bemerkung(en):

    Dissertation, Weimar, Bauhaus-Universität Weimar, 2022

  2. Information Retrieval for the Digital Humanities
    Autor*in: Gollub, Tim
    Erschienen: 2022

    In ten chapters, this thesis presents information retrieval technology which is tailored to the research activities that arise in the context of corpus-based digital humanities projects. The presentation is structured by a conceptual research process... mehr

    Universitätsbibliothek Braunschweig
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    Staats- und Universitätsbibliothek Bremen
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    Niedersächsische Staats- und Universitätsbibliothek Göttingen
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    Helmut-Schmidt-Universität, Universität der Bundeswehr Hamburg, Universitätsbibliothek
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    Staats- und Universitätsbibliothek Hamburg Carl von Ossietzky
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    Technische Universität Hamburg, Universitätsbibliothek
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    Bibliothek der Hochschule Hannover
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    Bibliothek im Kurt-Schwitters-Forum
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    Technische Informationsbibliothek (TIB) / Leibniz-Informationszentrum Technik und Naturwissenschaften und Universitätsbibliothek
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    Zentrale Hochschulbibliothek Lübeck
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    Leuphana Universität Lüneburg, Medien- und Informationszentrum, Universitätsbibliothek
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    Hochschule Osnabrück, Bibliothek Campus Westerberg
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    UB Weimar
    keine Fernleihe

     

    In ten chapters, this thesis presents information retrieval technology which is tailored to the research activities that arise in the context of corpus-based digital humanities projects. The presentation is structured by a conceptual research process that is introduced in Chapter 1. The process distinguishes a set of five research activities: research question generation, corpus acquisition, research question modeling, corpus annotation, and result dissemination. Each of these research activities elicits different information retrieval tasks with special challenges, for which algorithmic approaches are presented after an introduction of the core information retrieval concepts in Chapter 2. A vital concept in many of the presented approaches is the keyquery paradigm introduced in Chapter 3, which represents an operation that returns relevant search queries in response to a given set of input documents. Keyqueries are proposed in Chapter 4 for the recommendation of related work, and in Chapter 5 for improving access to aspects hidden in the long tail of search result lists. With pseudo-descriptions, a document expansion approach is presented in Chapter 6. The approach improves the retrieval performance for corpora where only bibliographic meta-data is originally available. In Chapter 7, the keyquery paradigm is employed to generate dynamic taxonomies for corpora in an unsupervised fashion. Chapter 8 turns to the exploration of annotated corpora, and presents scoped facets as a conceptual extension to faceted search systems, which is particularly useful in exploratory search settings. For the purpose of highlighting the major topical differences in a sequence of sub-corpora, an algorithm called topical sequence profiling is presented in Chapter 9. The thesis concludes with two pilot studies regarding the visualization of (re)search results for the means of successful result dissemination: a metaphoric interpretation of the information nutrition label, as well as the philosophical bodies, which are 3D-printed search results.

     

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    Quelle: Verbundkataloge
    Beteiligt: Stein, Benno (AkademischeR BetreuerIn); Fuhr, Norbert (AkademischeR BetreuerIn)
    Sprache: Englisch
    Medientyp: Dissertation
    Format: Online
    Weitere Identifier:
    Schlagworte: Information Retrieval; Digital Humanities; Explorative Suche;
    Umfang: 1 Online-Ressource (177 Seiten), Diagramme
    Bemerkung(en):

    Dissertation, Bauhaus-Universität Weimar, 2022

  3. Information Retrieval for the Digital Humanities
    Autor*in: Gollub, Tim
    Erschienen: January 2022

    In ten chapters, this thesis presents information retrieval technology which is tailored to the research activities that arise in the context of corpus-based digital humanities projects. The presentation is structured by a conceptual research process... mehr

    Technische Universität Chemnitz, Universitätsbibliothek
    uneingeschränkte Fernleihe, Kopie und Ausleihe
    UB Weimar
    Hl 2100/20
    uneingeschränkte Fernleihe, Kopie und Ausleihe
    UB Weimar
    Mag Hl 2100
    uneingeschränkte Fernleihe, Kopie und Ausleihe

     

    In ten chapters, this thesis presents information retrieval technology which is tailored to the research activities that arise in the context of corpus-based digital humanities projects. The presentation is structured by a conceptual research process that is introduced in Chapter 1. The process distinguishes a set of five research activities: research question generation, corpus acquisition, research question modeling, corpus annotation, and result dissemination. Each of these research activities elicits different information retrieval tasks with special challenges, for which algorithmic approaches are presented after an introduction of the core information retrieval concepts in Chapter 2. A vital concept in many of the presented approaches is the keyquery paradigm introduced in Chapter 3, which represents an operation that returns relevant search queries in response to a given set of input documents. Keyqueries are proposed in Chapter 4 for the recommendation of related work, and in Chapter 5 for improving access to aspects hidden in the long tail of search result lists. With pseudo-descriptions, a document expansion approach is presented in Chapter 6. The approach improves the retrieval performance for corpora where only bibliographic meta-data is originally available. In Chapter 7, the keyquery paradigm is employed to generate dynamic taxonomies for corpora in an unsupervised fashion. Chapter 8 turns to the exploration of annotated corpora, and presents scoped facets as a conceptual extension to faceted search systems, which is particularly useful in exploratory search settings. For the purpose of highlighting the major topical differences in a sequence of sub-corpora, an algorithm called topical sequence profiling is presented in Chapter 9. The thesis concludes with two pilot studies regarding the visualization of (re)search results for the means of successful result dissemination: a metaphoric interpretation of the information nutrition label, as well as the philosophical bodies, which are 3D-printed search results.

     

    Export in Literaturverwaltung   RIS-Format
      BibTeX-Format
    Hinweise zum Inhalt
    Quelle: Verbundkataloge
    Beteiligt: Stein, Benno (AkademischeR BetreuerIn); Fuhr, Norbert (AkademischeR BetreuerIn)
    Sprache: Englisch
    Medientyp: Dissertation
    Format: Druck
    Schlagworte: Information Retrieval; Digital Humanities; Explorative Suche;
    Umfang: XII, 165 Seiten, Diagramme
    Bemerkung(en):

    Dissertation, Bauhaus-Universität Weimar, 2022

  4. Un nouvel âge de l'enquête
    portraits de l'écrivain contemporain en enquêteur
    Erschienen: [2019]
    Verlag:  Éditions Corti, [Paris]

    Universitäts- und Landesbibliothek Bonn
    W 2019/4179
    Ausleihe von Bänden möglich, keine Kopien
    Universität Köln, Romanisches Seminar, Bibliothek
    412/F-L5600DEM/1
    keine Fernleihe
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    Quelle: Verbundkataloge
    Sprache: Französisch
    Medientyp: Buch (Monographie)
    ISBN: 9782714312228
    RVK Klassifikation: IH 93120 ; IH 92310
    Schriftenreihe: Les essais
    Schlagworte: Explorative Suche; Umfrage; Französisch; Literatur; Reportage; Schriftsteller
    Weitere Schlagworte: Roman; Kriminalroman; Naturalismus; Gesellschaft
    Umfang: 291 Seiten, 22 cm
  5. Exploratory search on mobile devices
    Autor*in: Schmeier, Sven
    Erschienen: 2014
    Verlag:  universaar, Univ.-Verl. des Saarlandes, Saarbrücken

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    Quelle: Verbundkataloge
    Sprache: Englisch
    Medientyp: Dissertation
    Format: Druck
    ISBN: 9783862231362
    Weitere Identifier:
    9783862231362
    Schriftenreihe: Saarbrücken dissertations in language science and technology ; Vol. 38
    Schlagworte: Mobiles Endgerät; Explorative Suche; Natürlichsprachiges System; Information Extraction; Suchmaschine; Visualisierung; Benutzeroberfläche; Mobiles Endgerät ; Online-Recherche ; Suchmaschinenoptimierung
    Weitere Schlagworte: (Produktform)Book; (VLB-WN)1560: Hardcover, Softcover / Sprachwissenschaft, Literaturwissenschaft
    Umfang: 166 S., Ill., graph. Darst., 21 cm
    Bemerkung(en):

    Zusätzliches Online-Angebot unter urn:nbn:de:bsz:291-universaar-1185

    Zugl.: Saarbrücken, Univ., Diss., 2013