Large Scale Knowledge Management across Media

Prof. Fabio Ciravegna, Department of Computer ScienceUniversity of Sheffieldfabio@dcs.shef.ac.uk

© X-Media Consortium

Requirements For Large Scale KM

•Focusing–Powerful focusing methods are needed to move within a large multi-dimensional search space.

–Requires a balanced mixture of exploration and searching;

–Keyword-based search becomes largely ineffective

•Cross-Media–Knowledge in one medium does not carry full evidence

–Multiple evidence as a key to knowledge acquisition

•Knowledge integration–Large distributed archives require

• Map distribution of information• Weight every single source • Distribute searches carefully

© X-Media Consortium

Requirements For Large Scale KM (2)

•Uncertainty and Dynamicity–Information is ambiguous, incomplete, or referring to specific contexts

–Archives contain noise and imprecision, and obsolete information

–Each piece of knowledge must be judged with a pinch of salt considering its provenance, evidence, etc.

•Infrastructure–A complex infrastructure is needed for KM across media

–Different media cannot be shared easily•Folder of text documents can be sent by email•Folder of images requires shared repository •10 GByte of sensor data requires remote access to data base

•Organisational and behavioural aspects

© X-Media Consortium

Project Goals

•New paradigms for knowledge sharing and reuse –Users-defined and parameterizable views on knowledge

–Personalized anticipatory systems to help focusing in large search spaces

•Knowledge fusion methods to support decision making –E.g. in case of contradicting knowledge from different resources

•Techniques to represent and manage (i) uncertainty, (ii) trust and provenance (iii) dynamic aspects of knowledge

© X-Media Consortium

Project Goals (2)

•Robust and scalable knowledge acquisition and data analysis–Working across media boundaries (text, images and data) –Able to automatically cross-relate and annotate text and images with metadata

–Fostering integration with other resources

•A methodology and a technical infrastructure –To enable cross media knowledge management

•Taking into account complexity of managing different media with different size of data.

•Generic and flexible architecture –Mainly open source reference implementation

© X-Media Consortium

Methods and Techniques

•48 months•€13M budget, €9.9M funding•2 cycles of 28+20 months

– Requirements analysis, Design, Implementation, Evaluation

First 18 Months (Mar.2006-Aug.2007)

•Specification of requirements•First prototype for the kernel

architecture•A prototype for knowledge sharing

technologies •Preliminary versions of technologies

for knowledge acquisition

© X-Media Consortium

Resources And Duration

•48 months•€13M budget, €9.9M funding•2 cycles of 28+20 months

–Requirements analysis, Design, Implementation, Evaluation

First 18 Months (March 2006-Aug 2007)•Specification of requirements•First prototype for the kernel architecture•A prototype for knowledge sharing technologies •Preliminary versions of technologies for knowledge acquisition

© X-Media Consortium

Dissemination

•Web site with demos and downloadable software

–Largely open source software•Brochure and leaflets•Regular dissemination and awareness events targeted to industry

–Via Industrial board•Philips, Kodak, Adobe, TeleNor, CSC, CESI

•Conference papers, journals, etc.•Scientific workshop organization

– Cross media knowledge acquisition– Large scale knowledge sharing and reuse

© X-Media Consortium

Dissemination: First Steps

•European Semantic Web Summer School–One tutor, plus demonstration of relevant existing software

–One invited speaker

•EACL 06–One organised workshop–One panel invitation–One paper to workshop

•LREC–One paper at main conference–One poster at cross-media workshop (to be submitted)

Collaborations with X-Media are welcome!fabio@dcs.shef.ac.uk

University of Ljubljana

U Freiburg

University of Koblenz-Landau