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Peter Mutschke

  1. Linking Social Networking Sites to Scholarly Information Portals by ScholarLib.

    Пнд, 05/14/2012 - 15:02 — SomNambul
    Authors: Peter Mutschke, Mark Thamm
    Subjects: Digital Libraries
    Abstract

    Online Social Networks usually provide no or limited way to access scholarly
    information provided by Digital Libraries (DLs) in order to share and discuss
    scholarly content with other online community members. The paper addresses the
    potentials of Social Networking sites (SNSs) for science and proposes initial
    use cases as well as a basic bi-directional model called ScholarLib for linking
    SNSs to scholarly DLs.

  2. Science Models as Value-Added Services for Scholarly Information Systems.

    Пт, 05/13/2011 - 15:02 — SomNambul
    Authors: Philipp Schaer, Philipp Mayr, Peter Mutschke, York Sure
    Subjects: Digital Libraries
    Abstract

    The paper introduces scholarly Information Retrieval (IR) as a further
    dimension that should be considered in the science modeling debate. The IR use
    case is seen as a validation model of the adequacy of science models in
    representing and predicting structure and dynamics in science.

  3. A Science Model Driven Retrieval Prototype.

    Втр, 01/11/2011 - 16:01 — SomNambul
    Authors: Philipp Schaer, Philipp Mayr, Peter Mutschke
    Subjects: Information Retrieval
    Abstract

    This paper is about a better understanding on the structure and dynamics of
    science and the usage of these insights for compensating the typical problems
    that arises in metadata-driven Digital Libraries. Three science model driven
    retrieval services are presented: co-word analysis based query expansion,
    re-ranking via Bradfordizing and author centrality.

  4. Implications of Inter-Rater Agreement on a Student Information Retrieval Evaluation.

    Втр, 10/12/2010 - 15:01 — SomNambul
    Authors: Philipp Schaer, Philipp Mayr, Peter Mutschke
    Subjects: Information Retrieval
    Abstract

    This paper is about an information retrieval evaluation on three different
    retrieval-supporting services. All three services were designed to compensate
    typical problems that arise in metadata-driven Digital Libraries, which are not
    adequately handled by a simple tf-idf based retrieval. The services are: (1) a
    co-word analysis based query expansion mechanism and re-ranking via (2)
    Bradfordizing and (3) author centrality. The services are evaluated with
    relevance assessments conducted by 73 information science students.

  5. Demonstrating a Service-Enhanced Retrieval System.

    Втр, 09/28/2010 - 15:01 — SomNambul
    Authors: Philipp Schaer, Philipp Mayr, Peter Mutschke
    Subjects: Information Retrieval
    Abstract

    This paper is a short description of an information retrieval system enhanced
    by three model driven retrieval services: (1) co-word analysis based query
    expansion, re-ranking via (2) Bradfordizing and (3) author centrality. The
    different services each favor quite other - but still relevant - documents than
    pure term-frequency based rankings. Each service can be interactively combined
    with each other to allow an iterative retrieval refinement.

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