Retrieval for Decision Support Resources by Structured Models

U. Guntzer, R.J. Müller, S. Müller, R.D. Schimkat

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

The number of available dss within organizational intranets will soon require efficient retrieval functionality. While web retrieval technology performs excellent on documents, computational services need approaches that capture the semantics of resources. We present a retrieval approach that uses a variant of structured modeling to represent resources. It allows the use of similarity of models for retrieval. Exact similarity computation is shown to be np-hard, and efficient heuristics for similarity computation and filter algorithms are introduced. We report an evaluation in a classroom experiment and give computational results on a benchmark library.
Original languageEnglish
Pages (from-to)1117-1132
JournalDecision Support Systems
Volume43
Issue number16
DOIs
Publication statusPublished - 1 Jan 2007

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