CALL FOR PAPERS Workshop on Case-Based Reasoning Authoring Support Tools 31 July, 2001 (Part of the International Conference on Case-Based Reasoning, ICCBR'01 Vancouver, British Columbia, Canada, 30 July - 2 August 2001) Workshop Website: http://nikel.infj.ulst.ac.uk/ICCBRWorkshop.htm Deadline for paper submission: 11 May 2001 CBR is regarded to be a more appealing approach to KBS development than the traditional rule based approach mainly due to the more intuitive nature of cases as a knowledge representation and reasoning formalism. For a long time the case approach to KBS development was seen as a possible solution to the knowledge acquisition and maintenance problems associated with rule based systems. As the field of CBR has matured support has grown for the view that CBR has not alleviated these problems as hoped, but in many ways compounded them. It has become apparent that as opposed to just the need to acquire domain (case) knowledge there is also a need to acquire vocabulary knowledge, retrieval (similarity / indexing) knowledge, adaptation knowledge, and maintenance knowledge before a CBR system can be regarded as fully operational. Domain experts are one resource for the knowledge required for these containers, automated learning methods another. Researchers are looking at automated or semi-automated tools / approaches to assist experts whereby knowledge can be acquired and integrated into CBR systems. Ideally these tools should facilitate the initial acquisition of knowledge as well as its long-term maintenance as the CBR system evolves within its environment. Additionally they should consider the impact that knowledge in one container has on another container - an issue which few researchers have pursued. Authoring support tools are an exciting and challenging area of development within CBR and one where progress must be made over the forthcoming years to enable CBR to live up to the expectations placed upon it and advance its commercial viability. The workshop aims to provide a forum whereby researchers can present and discuss current tools and techniques which can be used to address the issues above as well as to support the stimulation of new ideas and approaches. These issues will form the primary focus of the workshop. Key questions include (not exhaustively) General What are the sources for knowledge in CBR? What are the relationships between the different types of Knowledge in CBR? How much should we try to automate the development and maintenance of CBR systems? Where should the domain expert’s knowledge be utilised? In what areas of acquisition and maintenance can automated techniques be of most assistance to experts? What methods are there for integrating reasoning with uncertainty in CBR? Case vocabulary Knowledge How can the optimal case representation be determined for a particular domain? How can results from the KA/KM communities improve the modeling of case knowledge? Should all cases be represented similarly in a case-base? How much can this process be automated? What role does ontology research have for CBR? Case knowledge How do you identify quality cases? Can operational databases be utilised in determining case structure? How can case extraction from documents, structured logs and the World-Wide Web be automated or in other ways supported? How to assess the quality of a case base? How can visualisation tools help in maintaining case-bases? Retrieval knowledge How can similarity knowledge and indexing knowledge be determined? How can the competency of retrieval knowledge be improved as the case-base matures? How does retrieval knowledge affect case-base efficiency and competency? How does uncertainty influence retrieval? Adaptation knowledge What are the sources for adaptation knowledge? How does adaptation knowledge impact upon other knowledge types? Is adaptation a matching process? Is adaptation an explanation process? Maintenance knowledge How can knowledge in all containers be kept up-to-date during the learning phase in CBR? What techniques can be applied to knowledge to rapidly take account of changes in the operational environment of the system? How can manual and automated maintenance methods be combined? What ‘measures’ can trigger when to update? Submission Requirements. Max of 6 pages formatted to conference specification. Further Information on this can be found at the ICCBR-01 web site at http://www.iccbr.org/iccbr01/papers.html Submit papers by electronic mail to wd.patterson@ulst.ac.uk. Please put CBRAST in the subject line of your message and name your file using the first author's last name, followed by their first initial. Papers should be submitted in either postscript or PDF format Papers will be reviewed by the program committee for relevance to the workshop, quality, writing style and innovation. Papers selected for publication in the workshop proceedings will be published as Technical Reports of the Navy Center for Applied Research in Artificial Intelligence (NCARAI) of the Naval Research Laboratory (NRL) It is also our intention to follow up the workshop with a special issue on the topic in an international journal. Chairs David Patterson, School of Information and Software Engineering, University of Ulster, Newtownabbey, County Antrim, Northern Ireland BT37 0QB.Tel: +44-(0)2890-368157 wd.patterson@ulst.ac.uk Agnar Aamodt, Department of Computer and Information Science, Faculty of Physics, Informatics and Mathematics, N-7034, Trondheim, Norway.Tel: 47-73-591838 agnar.aamodt@idi.ntnu.no Barry Smyth, Dept. of Computer Science, University College Dublin, Belfield, Dublin 4, Ireland.Tel: (00353 1) 706 2473 barry.smyth@ucd.ie ----- David Patterson Lecturer,Faculty of Informatics University of Ulster Newtownabbey, Co. Antrim, BT37 0QB, Northern Ireland Tel +44 (0)28 90 368157 Fax +44 (0)28 90 366068