Deep Knowledge Representation Challenge Workshop
From the website:
This workshop will provide a forum to discuss difficult problems in representing complex knowledge needed to support deep reasoning, question answering, explanation and justification systems. The goals of the workshop are: (1) to create a comprehensive set of knowledge representation (KR) challenge problems suitable for a recurring competition, and (2) begin to develop KR techniques to meet those challenges. A set of difficult to represent sentences from a biology textbook are included as an initial set of KR challenges. Cash prizes will be awarded for the most creative and comprehensive solutions to the selected challenges.
The workshop will be a highly interactive event with brief presentations of problems and solutions followed by group discussion. To submit a paper to the workshops, the participants should select a subset of the challenge sentences and present approaches for representing them along with an approach to use that representation in a problem solving task (question answering or decision support). Participants are free to add to the list of challenge sentences, for example, from other chapters of the textbook, or within the spirit of their own projects and experience but should base their suggestions on concrete examples, if possible, from real applications.
Important Dates:
- 7 May: Submissions due
- 16 May: Notification of participants
- 13 June: Final camera ready material for workshop web site and all material for discussion
- 25 June: Initial workshop – with report back and further, during KCAP. Details to be announced.
I mention this because deep knowledge as in identification of and navigation to is part and parcel of topic maps.
It seems to me that any “…deep reasoning, question answering, explanation and justification system.” is going to succeed or fail based on its identification of subjects.
Or to put it differently, it is difficult to reason effectively if you don’t know what you are talking about. (I could mention several examples from recent news casts but I will forego the opportunity.)