This paper provides an outline of my doctoral thesis work whose aim is to develop a reference model for Intelligent Content and a methodology on how properties of Intelligent Content Objects and functionality of Semantic Web Services can be combined in order to enable media-rich and content-oriented processes. This thesis will especially try to show how having community- and business-oriented aspects attached to content enable the automation of content adaptation, integration or enrichment through the use of semantic technologies.

Future information, knowledge and content infrastructures which provide highly automatic support in fulfilling users goals will most likely rely on some form of Grid computing. In combination with Semantic Web technologies and Semantic Web services, this infrastructure will be much enhanced to form the Semantic Grid. Last but not least, one of the major driving forces for the Web and its future derivatives is actual content which can range from multimedia data (with some meta data) to "intelligent objects" i.e. content that itself, can either exhibit behavior or at least, carry semantic information that can (and must) be interpreted by the services of the Semantic Grid. This paper proposes GRISINO, an integrated infrastructure for Semantic Web Services, Intelligent Content Objects and Grid that are brought together in the search for an emerging solution that cope with rapidly increasing demands and complexity of next generation distributed applications.