Natural Language Dialogue Service for Appointment Scheduling Agents

Appointment scheduling is a problem faced daily by many individuals and organizations. Cooperating agent systems have been developed to partially automate this task. In order to extend the circle of participants as far as possible we advocate the use of natural language transmitted by e-mail. We describe COSMA, a fully implemented German language server for existing appointment scheduling agent systems. COSMA can cope with multiple dialogues in parallel, and accounts for differences in dialogue behaviour between human and machine agents. NL coverage of the sublanguage is achieved through both corpus-based grammar development and the use of message extraction techniques.Comment: 8 or 9 pages, LaTeX; uses aclap.sty, epsf.te

On the emergent Semantic Web and overlooked issues

The emergent Semantic Web, despite being in its infancy, has already received a lotof attention from academia and industry. This resulted in an abundance of prototype systems and discussion most of which are centred around the underlying infrastructure. However, when we critically review the work done to date we realise that there is little discussion with respect to the vision of the Semantic Web. In particular, there is an observed dearth of discussion on how to deliver knowledge sharing in an environment such as the Semantic Web in effective and efficient manners. There are a lot of overlooked issues, associated with agents and trust to hidden assumptions made with respect to knowledge representation and robust reasoning in a distributed environment. These issues could potentially hinder further development if not considered at the early stages of designing Semantic Web systems. In this perspectives paper, we aim to help engineers and practitioners of the Semantic Web by raising awareness of these issues

Multi-agency training and the artist (Sharing our experience, Practitioner-led research 2008-2009; PLR0809/032)

The Multi-Agency Team Project approached issues of multi-agency training indirectly by using an artist as a catalyst in a group exercise examining movement and sound in relation to early childhood. The aim of the research was to run an experiential non-traditional training programme based on using an artist as a catalyst to promote inter-agency dialogue in one setting, Woodlands Park Nursery and Children’s Centre, and to analyse the findings. Eleven participants used this common experiential focus to frame collective research both as a focus group and as individual fieldworkers. The research demonstrated shared professional discourse but also collected judgements relevant to policy issues based on collaborative professional reflection triggered by the exercise. The findings are presented theoretically in terms of critical discourse analysis using the interpretation-supporting software ATLASti. We next take a further look at the role play exercise in which the group constituted itself as a ‘House of Commons Select Committee’ before summarizing what theoretical insights might be brought to bear and attempting to draw some provisional conclusions. Some evidence is presented suggesting there is a degree of tension and ambiguity between alterative models of multi-agency working