We present the result of extending an agent-based simulation framework by adding a full-fledged model of beliefs and by supporting ask-reply communication with the help of the W3C RDF query language SPARQL. Beliefs are the core component of any cognitive agent architecture. They are also the basis of ask-reply communication between agents, which allows social learning. Our approach supports the...

In this paper, we propose a concept for using combined multimodal queries in the context of digital music libraries. Whereas usual mechanisms for content-based music retrieval only consider a single query mode, such as query-by-humming, full-text lyrics-search or query-by-example using short audio snippets, our proposed concept allows to combine those different modalities into one integrated qu...

The popularity of social networks have burgeoned in recent years. Users share and access large volumes of information on social networking sites like Facebook, Flickr, del.icio.us, etc. Whereas a few of these sites have generic, impersonal searching mechanisms, we have developed an agent-based framework that mines the social network of a user to improve search results. Our Social Networkbased I...

The large volume of video content generated each day has led to the need for efficient and effective methods of video indexing and retrieval. A common first step in indexing video content is to identify visually and semantically continuous segments or shots. In this paper, we present the moving query window approach to video shot boundary detection. This uses the techniques of queryby-example (...