Managing document taxonomies in relational databases

  • Authors:

  • Ido Millet

  • Affiliations:

  • Penn State Erie

  • Venue:
  • Effective databases for text & document management
  • Year:
  • 2003

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Abstract

This chapter addresses the challenge of applying relational database technologies to manage taxonomies, which are commonly used to classify documents, knowledge and websites into a hierarchy of topics. It first describes how denormalizing the data model can facilitate data retrieval from such topic hierarchies. It then shows how the typical data maintenance difficulties associated with denormalized data models can be solved using database triggers.