General Information

Textual CBR (TCBR) applies the CBR problem-solving methodology to situations where experiences are predominantly captured in text form. Textual case data is prevalent in many practical applications and maintained in a variety of forms including lessons-learnt documents, incident reports, corporate/personal email communications and many unstructured or semi-structured domain-specific text collections. This variety and volume of text content has created the need for an equally diverse range of CBR development tools.

TCBR is a relatively young area of research with its first workshop dating back to 1998. Since then, TCBR has attracted increasing attention within the CBR community with at least 2 TCBR paper contributions in every ECCBR/ICCBR conference proceeding.

TCBR systems, like conventional CBR systems, must also acquire knowledge sources to enable the key stages of problem-solving (Retrieve, Reuse, Revise and Retain). However, where these knowledge sources consists of unstructured or
semi-structured text, the implementation of the CBR cycle is particularly challenging. This calls for hybrid approaches that draw from, and extend, research in related areas (e.g. Information Retrieval, Natural Language Processing, Information Extraction and Text Mining).

Aims and Objectives

The aim of this workshop is to provide a forum for the discussion of trends, research issues and practical experiences in TCBR. To achieve this we propose to incorporate the following activities:

• Presentation of peer-reviewed (application/research) papers.
• One invited talk (e.g. on a closely related discipline) and possibly another from within the community.
• Discussions on: the TCBR cycle, the synergy of TCBR and other related research sub-disciplines and the creation of textual CBR corpuses and tools.