Commercial exploitation of knowledge technologies in communication applications

1. Commercial exploitation of knowledge technologies in communication applications IST2006 Knowledge Workshop - 22 November 2006 Paola Hobson, Motorola Labs

2. Overview • This presentation will very briefly discuss the state of the art in semantic based content adaptation and personalisation, using the aceMedia project to illustrate example applications. • We then focus on the commercial exploitation of such leading-edge research, and consider expected future research needs to support the long-term content value chain

3. Storage Content Creation Content Analysis & Annotation aceMedia vision • aceMedia aims to discover and exploit knowledge inherent in multimedia content, making it more relevant for the user and automating annotation. Transmission Intelligent Search & Presentation • aceMedia will implement, using a user centred approach, a full content value chain which will enable content and knowledge creation, update, transmission, and manipulation & exploitation (through advance search and retrieval and intelligent content behaviour)

4. The query picture can be internal or external • Plans for searching regions Visual Search “I want a picture that looks like this one: ” aceMedia applications • Users finding and enjoying their content on their chosen device • requires content to be easily found via intuitive search tools • presentation of the content must be appropriate to the device • enable users to share content whilst being sure of maintaining privacy • Key enabling technologies being developed in aceMedia • automated content analysis and semantic annotation • content adaptation across multiple platforms - mobile, PC, and STB • personalised search and retrieval of content • privacy tools for personal content

5. Textual Semantic Search “me in a snowy mountain” • Queries are free text • English and French supported • NLP converts query in a SPARQL query that is sent to the KB • Manual annotations are taken into account but are not strictly necessary • Results can be ranked according to user semantic preferences aceMedia applications - search • Users finding and enjoying their content on their chosen device • requires content to be easily found via intuitive search tools • presentation of the content must be appropriate to the device • enable users to share content whilst being sure of maintaining privacy • Key enabling technologies being developed in aceMedia • automated content analysis and semantic annotation • content adaptation across multiple platforms - mobile, PC, and STB • personalised search and retrieval of content • privacy tools for personal content

6. Content aceMedia application - adaptive content distribution • Content adaptation and delivery through heterogeneous networks User, Terminal & Network Profiles Cross-Media Engine

7. Technology addressing the requirements - exploitation issues

8. Conclusions and future research • Commercial exploitation of aceMedia technology would bring real value to users, but there are gaps • Future research to support the long-term content value chain includes • more sophisticated content analysis methods to encompass a broader range of content topics (MESH and beyond) • integration with other semantic reasoning projects to enable re-use of core components • Integration of agent technologies to enable more intelligent and autonomous media • and practical issues for future projects would include • integration of a content management hardware/software supplier into the research project • closer interaction with developing standards (resource issue)

9. Contact • Email : coordinator@acemedia.org • Website : http://www.aceMedia.org