Semantic audio hyperlinking: a multimedia-semantic Web scenario

In this paper we illustrate the preliminary exploration of a semantic Web scenario where acoustic relationship among audio resources are extracted in a distributed way and made available using the tools of the semantic Web. In this scenario, peers use MPEG-7 to exchange description of audio they are interested in and use these to locally extract different kind of acoustic similarities. When very relevant similarities among audio resources are found, these are expressed using the syntactic and semantics of the semantic Web that is, using RDF and an appropriately expressive ontology. There are a number of reasons why such process is interesting. First of all other agents might retrieve such indications and use them to perform browsing and exploration. Then algorithms might exploit audio hyperlinks to make further inferences. We demonstrate this by showing how the network of audio hyperlinks can be used to further enrich the metadata annotations of audio resource, in a way somehow similar to the famous "PageRank" algorithm.