A Novel Approach for Semantics-Enabled Search of Multimedia Documents on the Web

We present an analysis of a large corpus of multimedia documents obtained from the web. From this corpus of documents, we have extracted the media assets and the relation information between the assets. In order to conduct our analysis, the assets and relations are represented using a formal ontology. The ontology not only allows for representing the structure of multimedia documents but also to connect with arbitrary background knowledge on the web. The ontology as well as the analysis serve as basis for implementing a novel search engine for multimedia documents on the web.