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An Evaluation of the Incorporation of a Semantic Network into a Multidimensional Retrieval Engine
 

Summary: An Evaluation of the Incorporation of a Semantic Network
into a Multidimensional Retrieval Engine
Jinho Lee, David Grossman, Ratko Orlandic
Information Retrieval Laboratory
Department of Computer Science
Illinois Institute of Technology
Chicago, IL 60616
{leejin2, grossman, orlandic}@iit.edu
ABSTRACT
This paper describes a new method for incorporating a
hierarchical category dimension into an Information Retrieval
framework. The approach is to use the synonym sets and the
hyponym ("is-a") relations defined within Wordnet in order to
derive a conceptual hierarchical category dimension. The
hierarchical nature of a category dimension not only provides an
overview of a set of documents but also facilitates the
effectiveness and the efficiency of searching documents. An
evaluation is performed on two different types of models and the
multidimensional approach shows a significant reduction in the
number of page accesses over a large document collection.

  

Source: Argamon, Shlomo - Department of Computer Science, Illinois Institute of Technology

 

Collections: Computer Technologies and Information Sciences