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Semantically Enriching the Search System of a Music Digital Library

  • Paloma de JuanEmail author
  • Carlos Iglesias
Conference paper

Abstract

Traditional search systems are usually based on keywords, a very simple and convenient mechanism to express a need for information. This is the most popular way of searching the Web, although it is not always an easy task to accurately summarize a natural language query in a few keywords. Working with keywords means losing the context, which is the only thing that can help us deal with ambiguity. This is the biggest problem of keyword-based systems. Semantic Web technologies seem a perfect solution to this problem, since they make it possible to represent the semantics of a given domain. In this chapter, we present three projects, Harmos, Semusici and Cantiga, whose aim is to provide access to a music digital library. We will describe two search systems, a traditional one and a semantic one, developed in the context of these projects and compare them in terms of usability and effectiveness.

Keywords

Digital Library Resource Description Framework Conjunctive Query Semantic Search Search Paradigm 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer US 2010

Authors and Affiliations

  1. 1.Departamento de Ingeniera, de Sistemas TelemticosUniversidad Politcnica de MadridMadridSpain
  2. 2.Germinus XXI (Grupo Gesfor)MadridSpain

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