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Article #9078Australian Conceptual Graphs Workshop: Call for Papers
From: Gerard Ellis
Date: Fri, 18 Mar 1994 03:19
Date: Fri, 18 Mar 1994 03:19
96 lines
4221 bytes
4221 bytes
1st Australian Conceptual Structures Workshop
in association with the
Seventh Australian Joint Conference on Artificial Intelligence (AI'94)
November 22, 1994
University of New England, Armidale, New South Wales
THEME
Conceptual graphs are a logic-based formalism for knowledge
representation based on the existential graphs of Charles S. Peirce and
semantic networks. 1994 marks the tenth anniversary of their use.
During this time conceptual structures have been widely used as a
semantic representation for natural language and as a graphic system of
logic for expert systems, theorem provers, and database design.
Significant gains have been made in the storage and retrieval of DBMS
information coupled with knowledge-based system problem solving
capability.
Researchers have developed a sizable software base and continue to
build upon it. Successful implementations include: rule-based systems,
database systems, knowledge-based systems, knowledge engineering tools,
enterprise modeling, management information systems, conceptual
information retrieval, medical informatics and natural language
applications, among others.
Conceptual graphs are being proposed as a basis for the normative
language for conceptual schemas by the ANSI X3H4 Committee on
Information Resource Dictionary Systems. Conceptual graphs are also
proposed with Knowledge Interchange Format (KIF) as the standard for
knowledge interchange between computer systems.
We encourage the submission of position papers concerning
conceptualization, formation and modeling using conceptual graphs.
TOPICS and ISSUES
Papers are invited on any aspect of concept analysis, representation,
or manipulation involving conceptual graphs. The following topics are
of particular interest but others, concerned with conceptual graphs,
will be welcome as well.
Theory
Technical developments
Applications
Natural language understanding
Graph notation
Theorem Proving
Ontology
INVITED TALK
John F. Sowa, SUNY at Binghamton (USA)
"Knowledge Representation: Logical, Philosophical, and
Computational Foundations"
Norman Foo, Sydney Univ.
"A Framework for Ontology Revision"
PROGRAM COMMITTEE
Peter Creasy University of Queensland
Peter Eklund Adelaide University (Co-chair)
Gerard Ellis University of Queensland (Co-chair)
Norman Foo University of Sydney
Dickson Lukose University of New England
John Sowa SUNY at Binghamton (USA)
Eric Tsui Continuum Australia Ltd.
IMPORTANT DATES
Submission Deadline June 30, 1994.
Notification of Acceptance August 30, 1994.
Camera-ready copy October 15, 1994.
Submissions and enquiries to
Gerard Ellis
Computer Science Dept,
Royal Melbourne Institute of Technology
GPO Box 2476V, Melbourne, Victoria, 3001.
Ph:61-3-660-2544
FAX:61-3-662-1617
Email: ged@cs.rmit.edu.au
--
Gerard Ellis ged@cs.rmit.edu.au ph:61-3-660-2544 FAX:61-3-662-1617 Rm:12.10.09
Computer Science Dept, Royal Melbourne Institute of Technology
GPO Box 2476V, Melbourne, Victoria, 3001, AUSTRALIA
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X-Google-Language: ENGLISH,ASCII-7-bit X-Google-Thread: 10461e,ab19f451d5632636,start X-Google-Attributes: gid10461e,public X-Google-Thread: 1132b9,ab19f451d5632636,start X-Google-Attributes: gid1132b9,public X-Google-ArrivalTime: 1994-03-17 19:19:44 PST Path: arc1-ca.pugleaf.net!gmd.de!xlink.net!fauern!zib-berlin.de!math.fu-berlin.de!cs.tu-berlin.de!zrz.TU-Berlin.DE!netmbx.de!Germany.EU.net!EU.net!howland.reston.ans.net!vixen.cso.uiuc.edu!uwm.edu!msuinfo!harbinger.cc.monash.edu.au!aggedor.rmit.EDU.AU!goanna.cs.rmit.oz.au!not-for-mail From: ged@goanna.cs.rmit.oz.au (Gerard Ellis) Newsgroups: comp.ai,aus.computers.ai Subject: Australian Conceptual Graphs Workshop: Call for Papers Date: 18 Mar 1994 13:19:44 +1000 Organization: Comp Sci, RMIT, Melbourne, Australia Lines: 96 Message-ID: <2mb6kg$mbo@goanna.cs.rmit.oz.au> NNTP-Posting-Host: goanna.cs.rmit.oz.au NNTP-Posting-User: ged Summary: call for papers Keywords: conceptual graphs, workshop, logic, knowledge representation, ai