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Hekate
For Developers
HeKatE is an acronym for
Hybrid Knowledge Engineering
The codename regards Hekate somehow: childbirth, sorcery, witchcraft, ghosts, untamed areas and wilderness … to name some – to show new directions, helpout in our current, desperate IT condition.
The project was started by an informal group: the knowledge_engineering_group.
Hekate Web Page: http://hekate.ia.agh.edu.pl
News
2008/03/09: HeKatE tools released, see
varda and
hqed
2008/02/29: VARDA and HQed go GPLv3! This day (29/02) is
special
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2007/11/21: ARD+ prototype submitted to FLAIRS2008
-
2007/09/06: HeKatE is under heavy development right now, outcomes will be published here
ASAP.
2007/07/15: XTT+ and/or GREP proposal
2007/03/29: We have a GO!!! The grant proposal has been accepted!!!
2006/11/20 00:01: a first article for
Flairs conference regarding the project is out
2006/07/21: The Grant Proposal has been sent – we just need to sit back and relax waiting for the reply about funding.
Development Team meetings are available at hekate_meetings.
Papers
Papers and publications regarding the Hekate project are at: Hekate Bibliography
Yes, we do work on tools, stay tuned for prototypes!
Motto?
If a machine is expected to be infallible, it cannot also be intelligent.
-- A.Turing
We won't make'em intelligent, we'll make them work!
Insufficient facts always invite danger
-- Spock, "Space Seed"
Motivation
There is a
semantic_gap in the contemporary Software Engineering which should be minimized
Turing machines as well as von Neumann architectures have problems, lets think on the knowledge level
Designed Knowledge Base is a 'program' capable of running, assuming that a proper runtime environment is supplied
The Knowledge Base can be verified and its proper behavior can be assured – no bugs are possible by design!
The Knowledge Base can be easily extended to meet new requirements, implement new functionality etc.
Project Insight
Logo
The logo depicts a few triplets:
three faces of Hekate,
Model, View, Controller,
Forward Chaining, Backward Chaining, Human-Computer Interfacing,
Software Engineering, Knowledge Engineering, Interfacing,
Art, Spirit, Science.
conceptual modeling with
ARD using
VARDA
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Cases