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.
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de Juan, P., Iglesias, C. (2010). Semantically Enriching the Search System of a Music Digital Library. In: Du, W., Ensan, F. (eds) Canadian Semantic Web. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-7335-1_8
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DOI: https://doi.org/10.1007/978-1-4419-7335-1_8
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