Subject: IJCAI 97 Workshop CFP
From: Luc De Raedt <[email-masked]>
To: [email-masked], [email-masked], [email-masked], [email-masked], [email-masked], [email-masked], [email-masked], [email-masked], [email-masked], [email-masked], [email-masked], [email-masked], [email-masked], [email-masked], [email-masked], [email-masked], [email-masked], [email-masked], [email-masked], [email-masked], [email-masked], [email-masked], [email-masked], [email-masked], Maurice.Bruynooghe
Date: Thu, 12 Dec 1996 13:32:46 +0100 (MET)

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               CALL FOR PARTICIPATION and PAPERS

                     IJCAI-97 Workshop on 

	     FRONTIERS OF INDUCTIVE LOGIC PROGRAMMING 

==========================================================================

GENERAL INFORMATION 

The IJCAI-97 one day workshop on "Frontiers of ILP" in Nagoya, Japan, 
will take place in the period August 23-25, immediately prior to 
the start of the main IJCAI conference. The exact date is to be determined.

TECHNICAL DESCRIPTION

Inductive logic programming (ILP) is a recent subfield of
artificial intelligence that studies the induction of first order formulae 
from examples. The purpose of this workshop is twofold:
on the one hand, we wish to widen the scope of ILP
by investigating its relations to neighboring fields, 
and on the other hand, we wish to make ILP more accessible 
for researchers from neighboring fields.

The workshop therefore solicits papers
that lie at the frontiers of ILP with neighboring fields.
A non-exclusive list of interesting topics for the workshop includes :

* ILP and Software Engineering: 
  what has ILP to offer to Software Engineering ?, 
  and in what way can Software Engineering help to design ILP systems
  and applications  ?

* ILP for Knowledge Discovery in Databases : ILP aims 
  at learning complex rules involving multiple relations from small 
  databases, whereas KDD typically induces simple rules about a 
  single relation from a large database. Furthermore, ILP allows to
  exploit background knowledge in a variety of ways. Can KDD and ILP be  
  succesfully combined ?  

* ILP and Computational or Algorithmic Learning Theory :
  though many results have been obtained concerning the learnability
  of inductive logic programming, most of the results are negative
  and most of the positive results are reducible to propositional learning 
  methods.  Is there a mismatch of COLT with ILP ? and if so,
  what can be done about it ?

* ILP versus propositional learning methods :
  Since the very start of ILP,  researchers and practioners of 
  machine learning have wondered about the relation between 
  ILP and propositional learning methods. Theoretical and experimental 
  questions that arise include:
  when to use ILP and when to use propositional learning methods ?
  under what circumstances can ILP be reduced to propositional learning ?
  what is the price to pay for using first order logic in 
  terms of efficiency ?

* ILP and Knowledge Representation : ILP has traditionally employed
  computational logic to represent hypotheses and observations.
  Alternative well-founded knowledge representation formalisms have received
  little attention  (with the exception of CLASSIC). 
  What can ILP learn from Knowledge Representation  ?
  and in what well-founded Knowledge Representation formalisms
  is induction feasible ?

* ILP in multistrategy learning : Multistrategy learning 
  combines multiple learning strategies. What role can ILP
  play for multistrategy learning ?

* ILP and Probabilistic reasoning:  in contrast to 
  propositional learning methods, ILP has not used
  probabilistic representations. How can ILP incorporate
  such representations ? and how can it interact with
  methods such as Bayes nets or Hidden Markov Models ?

* ILP for Intelligent Information Retrieval: 
  The rapid development of
  the World Wide Web has spawned significant interest in intelligent
  information retrieval. In particular, the need for algorithms for
  reliably classifying textual documents into given categories (like
  interesting/uninteresting) be useful for a wide variety of tasks.
  Currently, most learning algorithms are not able to make use of
  structural information like word order, succesive words, structure of
  the text, etc. Can ILP algorithms offer advantages over conventional
  information retrieval or machine learning algorithms for this sort of
  tasks?

* Applications of ILP in subfields of AI : ILP has been applied
  to other subfields of AI, including natural language processing,
  intelligent agents and planning. 
  Further applications of ILP within AI are solicited.

Both position papers about the relation of ILP to other fields, as well
as research papers that make specific techical contributions
are solicited. However, to stimulate discussion, it is expected 
that each technical paper also clarifies the position 
of ILP with regard to the neighboring field(s) it addresses.

Except for the presentation of position and technical papers,
the workshop will also feature a panel discussion
on the frontiers of ILP and possibly an invited talk.

ORGANISERS

Luc De Raedt (chair and primary contact)
Saso Dzeroski
Koichi Furukawa  
Fumio Mizoguchi
Stephen Muggleton

PROGRAMME COMMITTEE

Francesco Bergadano  (Italy)
Luc De Raedt (co-chair, Belgium)
Saso Dzeroski (Slovenia)
Johannes Furnkranz  (Austria)
Koichi Furukawa  (Japan)
David Page (U.K.)
Fumio Mizoguchi  (Japan)
Ray Mooney (U.S.A.)
Stephen Muggleton (co-chair, U.K.)

CALL FOR PARTICIPATION

Participation is open to all members of the AI Community.
However, to encourage interaction and a broad exchange of ideas
the number of participants will be strictly limited
(preferably under 30 and certainly under 40). 

Participants will be selected on the basis of submissions.
Three types of submissions will be considered :
1) technical contributions (ideally, a 3 to 5 page extended abstract, 
                         in the IJCAI Proceedings Format, 3000-4000 words),
2) position papers  (ideally, a 1 to 3 page abstract
                  in the IJCAI Proceedings Format, 1000 - 3000 words)
3) a statement of interest (ideally, a one page motivation of why you 
     would like to participate, 300- 500 words) 
Only submissions of type 1) and 2) will be considered 
for presentation at the workshop and inclusion in the workshop notes. 

Submissions should be received no later than April 1, 1997,
and must include  first  author's  complete   contact  information, 
including address, email, phone, and fax number. 

Double submissions with the ILP-97 Workshop (which is to take
place in Prague, September 1997) are allowed. 

SUBMISSIONS

Submit papers by email (postscript) and surface mail (2 copies) to

   Luc De Raedt
   Dept. of Computer Science 
   Katholieke Universiteit Leuven
   Celestijnenlaan 200A
   B-3001 Heverlee
   Belgium
   Email : [email-masked]

IMPORTANT DATES

  - Paper submission : 1 April
  - Notification to Authors : 21 April 
  - Camera ready copy : the submissions themselve  
                        will serve as camera ready copy
     (submissions in the IJCAI Proceedings Style are strongly preferred,
     see http://www.ijcai.org/ijcai-97/ for details)

PUBLICATION

The accepted submissions will be included in the workshop notes
to be distributed at the workshop.
Post-conference publication of a selection of the workshop papers
will be considered and discussed at the  workshop.

COSTS

To cover costs, a fee of $US 50 will be charged, 
in addition to the normal IJCAI-97 conference registration fee.
Attendees of IJCAI workshops will be required to register
for the main IJCAI conference.