Dynamic faceted navigation in decision making using Semantic Web technology

Hak Jin Kim, Yongjun Zhu, Wooju Kim, Taimao Sun

Research output: Contribution to journalArticle

11 Citations (Scopus)

Abstract

Categorization in the decision making classifies decision makers' experiences about the world and provides a guide to reach a goal. This implies that dynamically providing categories reflecting the given decision context gives a great enhancement in decision quality. This study discusses the dynamic category selection under the Semantic Web environment, focusing on an implementation of a decision support system, the dynamic facet navigation system working with an ontology. Predefined fixed categories are provided to refine search results to evade use of complex queries and tedious review of search results, but they often output insensible information because of never reflecting the difference in search results. This paper proposes a dynamic category selection mechanism by using the total gain ratio under a given ontology, and a reordering scheme for resulted categories. It proves the validity of the proposed approach with a statistical analysis lastly.

Original languageEnglish
Pages (from-to)59-68
Number of pages10
JournalDecision Support Systems
Volume61
Issue number1
DOIs
Publication statusPublished - 2014 May

All Science Journal Classification (ASJC) codes

  • Management Information Systems
  • Information Systems
  • Developmental and Educational Psychology
  • Arts and Humanities (miscellaneous)
  • Information Systems and Management

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