The World Wide Web has enabled the creation of a global information space that grows exponentially everyday. Traditional search engines are starting to fail in providing accurate answers for user queries. This was the context for the Semantic Web emergence. Long predicted by WWW creator, Tim Berners Lee, it is becoming our current Web. Semantic Web is no longer a Web of documents like WWW prior versions but a Web of data. People are starting to publish raw datasets of anything you can think of as data. Big data is another buzzword that you ear more frequently everyday because the amount of published data is huge and still growing faster and faster. The process of browsing and searching among this amount of data is no longer in reach to humans. It is here that Semantic Web comes into the scene. Adding a semantic layer to data enables machines to interpret data and gives them some autonomy in processing and searching. Semantic Web in fact is a stack of Web technologies gathered to enable this scenario. Besides semantics and because one is working on Web technologies we can also link datasets, creating relations between datasets. A set of best practices for publishing and interlinking structured data on the Web was created and named "Linked Open Data" (LOD). The basic idea of Linked Open Data is to apply the general architecture of the Web to the task of sharing structured data on a global scale. This movement started in early 2000’s and has expanded through most of Web resources creating a huge graph of interlinked data that is at our disposal. In this paper, we present a case study that illustrates how to use this rich set of resources to create interesting applications. In this case, the challenge was to harvest all the information we could related to music and create a digital music encyclopedia with the gathered information. We first describe the harvesting process and the creation of the music dataset and then we describe the creation of the application that explores this information. 1998 ACM Subject Classification Knowledge Representation Formalisms and Methods.

Keywords and phrases: Linked Open Data, Semantic Web, Music, RDF, SPARQL