We apologize if you receive multiple copies of this message. CALL FOR PAPERS I-KNOW '04 Special Track: Cross Media Knowledge Mining http://www.i-know.at/cmkm June 30th - July 2nd, 2004, Graz, Austria Background ========== This one-day special track, which takes place during I-KNOW '04 in Graz - Austria, provides a unique opportunity for scientists working in fields as diverse as information retrieval, multimedia knowledge mining or metadata extraction to communicate and share experiences on developments and achievements in the exciting new field of cross-media knowledge mining. Traditionally, large knowledge repositories demanding sophisticated retrieval and mining mechanisms contain text documents as basic information entities. Consequentially, the broad field of information retrieval and knowledge mining has been shaped in many aspects towards text-based approaches and algorithms. Today's knowledge retrieval and visualisation systems easily deal with millions of information entities structured in complex patterns, as long as the entities feature significant textual content, or equivalent extracted or annotated meta data. In another development, techniques like content-based image retrieval have matured and are today quite capable of dealing with multimedia content. Advanced algorithms allow automated extraction of content from multimedia documents like images, sounds and videos. A variety of standards has been devised for storing and organising extracted, or manually annotated, meta data, enabling knowledge retrieval on multimedia repositories. A growing number of systems and tools employ, for example, the MPEG7 standard to annotate, organise and retrieve multimedia documents. Today's knowledge repositories usually contain significant amounts of multimedia information in addition to text documents. This trend is likely to continue and expand, as more and more digital cameras, webcams, sound recording devices and other multimedia hardware becomes available and widespread. Cross-media knowledge mining, the science and art of retrieving images, text, sound and other multimedia documents based on a single user query, is one of the key challenges for the retrieval community. Topics like finding metrics for comparing information entities of differing types or designing meta data descriptions which allow unified annotation of text and multimedia documents will provide advanced research topics for years to come. Goals ===== This special track aims at bringing into contact international researchers from fields as information retrieval or multimedia knowledge mining as well as practitioners in this areas to enable the exchange of current research on cross-media knowledge retrieval. The special track allows for networking among attendees to establish focused, international relationships. Topics of the Special Track =========================== The special track seeks contributions that discuss expectations, requirements, approaches and concepts as well as experiences and practical results concerning cross-media knowledge retrieval. Topics may include, but are not limited to: * Cross-media similarity metrics * Metadata standards for cross-media information entities * Inference by using cross-media information entities * Traditional data mining methods applied to cross-media * Indexing of cross-media repositories * Query formulation and query definition for cross-media searches * Machine learning and statistical methods applied to cross-media repositories * Automatic extraction of semantic information from cross-media content * User Interfaces for cross-media knowledge mining Submission Instructions ======================= Authors are encouraged to refer to the identified challenges and questions of this special track in their contributions. Please prepare your submission according to the J.UCS author guidelines available at http://www.jucs.org/jucs_submit/style_guide.html. All submissions, regardless of category, should include title, author(s), abstract, keywords, body, and references. Submissions are to be made electronically in PDF (Adobe's Portable Document Format) or MS Word. Submissions are treated as confidential communications during the review process, so submission does not constitute public disclosure of any ideas therein. Submissions should contain no information or materials that will be proprietary or confidential at the time of publication, and should cite no publications that are proprietary or confidential at the time of publication. Submission Procedure ==================== Please submit your contribution via http://www.i-know.at/submission. In case of problems or questions concerning the submission of papers, please contact the track organizer Michael Granitzer at [log in to unmask] <mailto:[log in to unmask]>. Important Dates =============== * January 26th, 2004 - Submission of papers (4 pages) * March 22nd, 2004 - Notification of acceptance * April 26th, 2004 - Camera ready paper (8 pages) * June 30th - July 2nd, 2004 - The special track takes place during I-Know '04 Publication =========== Accepted papers will be published within the I-Know'04 conference proceedings in cooperation with J.UCS and Springer Co. Pub. In addition to that, special track presenters have the possibility to publish an extended version of their paper (up to 20 pages) in a special issue of J.UCS to appear after the conference. Further information ==================== By email to [log in to unmask] -- ==================================================== Michael Granitzer Knowledge Discovery Know-Center Inffeldgasse 21a, 8010 Graz, Austria Email : [log in to unmask] Tel: +43 316 873 9263 Fax: +43 316 873 9252 http://www.know-center.at ====================================================