Assessing the integration of ontology tools in content network architectures.
ABSTRACT The realm of this paper is the provision of multimedia services based on matching users' preferences and multimedia content descriptions. The main concept explored is the usage of ontology tools for mitigating frailties found in tag based matching processes due to their lack of semantic knowledge and their context dependence. The integration of ontology tools in CN architectures based on open standards (MPEG-7 and IMS) is proposed and assessed in this paper. The results obtained via non-functional tests enable to conclude that these tools provide enhanced matching results without a negative impact on both the CN size and its performance.
- SourceAvailable from: Thierry Turletti[Show abstract] [Hide abstract]
ABSTRACT: Due to the technical developments in electronics the amount of digital content is continuously increasing. In order to make digital content respectively multimedia content available to potentially large and geographically distributed consumer populations, Content Distribution Networks (CDNs) are used. The main task of current CDNs is the efficient delivery and increased availability of content to the consumer. This area has been subject to research for several years. Modern CDN solutions aim to additionally automate the CDN management. Furthermore, modern applications do not just perform retrieval or access operations on content, but also create content, modify content, actively place content at appropriate locations of the infrastructure, etc. If these operations are also supported by the distribution infrastructure, we call the infrastructure Content Networks (CN) instead of CDN. In order to solve the major challenges of future CNs, researchers from different communities have to collaborate, based on a common terminology. It is the aim of this paper, to contribute to such a terminology, to summarize the state-of-the-art, and to highlight and discuss some grand challenges for CNs that we have identified. Our conception of these challenges is supported by the answers to a questionnaire we received from many leading European research groups in the field.Computer Communications 03/2006; 29(5-29):551-562. DOI:10.1016/j.comcom.2005.06.006 · 1.35 Impact Factor
- [Show abstract] [Hide abstract]
ABSTRACT: The Internet is currently being designed and used in a way that is strongly influenced by inter-personal communications and content-based services. Content Networks, having presence and audiovisual metadata descriptions as central concepts, can play an important role in the provision of these services. Existing standards from the ISO/IEC MPEG (MPEG-7,-21) and IETF (PIDF, RPID) provide the technologies for these elementary features. This paper contributes to the deployment of Content Networks by proposing a layered architecture where the IMS Multimedia Subsystem and P2P-based midlleware tackle the problem of terminal, networks heterogeneity and the integration of different presence and metadata tools. The P2P-based middleware is used to construct autonomously self-organized, context and interest based communities by providing overlay infrastructures for the interconnection of different Content Networks components. The results obtained from implementing this architecture using Open IMS Core and Scribe open platforms show that the proposed architecture can be used for the creation and deployment of services on Content Networks.Proceedings of the Workshop on Middleware for Next-Generation Converged Networks and Applications, MNCNA 2007; 01/2007
- [Show abstract] [Hide abstract]
ABSTRACT: this article, we explain the role of ontologies in the architecture of the Semantic Web. We then briefly summarize key elements of XML and RDF, showing why using XML as a tool for semantic interoperability will be ineffective in the long run. We argue that a further representation and inference layer is needed on top of the Web's current layers, and to establish such a layer, we propose a general method for encoding ontology representation languages into RDF/RDF schema. We illustrate the extension method by applying it to OIL, an ontology representation and inference language.IEEE Internet Computing 10/2000; 4(5). DOI:10.1109/4236.877487 · 2.00 Impact Factor