FASTAXON: A System for FAST (and Faceted) TAXONomy Design

作者: Yannis Tzitzikas , Raimo Launonen , Mika Hakkarainen , Pekka Korhonen , Tero Leppänen

DOI: 10.1007/978-3-540-30464-7_66

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摘要: Building very big taxonomies is a laborious task vulnerable to errors and management/scalability deficiencies. FASTAXON system for building in quick, flexible scalable manner that based on the faceted classification paradigm [4] Compound Term Composition Algebra [5]. We sketch architecture functioning of this we report our experiences from using real applications.

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