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    Developing a Cross-Disciplinary Typology of Topical Relevance Relationships as the Basis for a Topic-Oriented Information Architecture

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    Author
    Huang, Xiaoli
    Editors
    Breitenstein, Mikel
    Loschko, Cheryl Lin
    Issue Date
    2009
    Submitted date
    2009-11-06
    Keywords
    Knowledge Management
    Knowledge Representation
    Knowledge Organization
    Qualitative Research
    Information Architecture
    Local subject classification
    ASIST
    SIG-CR
    
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    Citation
    Developing a Cross-Disciplinary Typology of Topical Relevance Relationships as the Basis for a Topic-Oriented Information Architecture 2009,
    URI
    http://hdl.handle.net/10150/106495
    Abstract
    This submission reports on a cross-disciplinary inquiry into topicality and relevance, involving an in-depth literature analysis and an inductive development of a faceted typology (containing 227 fine-grained topical relevance relationships arrayed in three facets and 33 types of presentation relationships). This inquiry reveals a large variety of topical connections beyond topic matching (the common assumption of topical relevance in the field), renders a closer look into the structure of a topic, and induces a generic topic-oriented information architecture that is meaningful across topics and domain boundaries. The findings from the analysis contribute to the foundation work of information organization, metadata development, intellectual access / information retrieval, and knowledge discovery. The typology of topical relevance relationships is structured with three major facets: * Functional role of a piece of information plays in the overall structure of a topic or an argument; * Mode of reasoning: How information contributes to the userâ s reasoning about a topic; * Semantic relationship: How information connects to a topic semantically. This inquiry demonstrated that topical relevance with its close linkage to thinking and reasoning is central to many disciplines. The multidisciplinary approach allows synthesis and examination from new angles, leading to an integrated scheme of relevance relationships or a system of thinking that informs each individual discipline. The scheme resolving from the synthesis can be used to improve text and image understanding, knowledge organization and retrieval, reasoning, argumentation, and thinking in general, by people and machines.
    Type
    Conference Paper
    Language
    en
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    DLIST

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