HeKatE

Hybrid Knowledge Engineering (HeKatE)

NCN Grant no. NCN N516 024 32/2878 Project Leader: prof. dr hab. inż. Antoni Ligęza Project coordinator: dr hab. inż. Grzegorz J. Nalepa Timeline: 2007-05 → 2009-11 Duration: 2007-05 → 2009-11, 30 months Webpage: http://hekate.ia.agh.edu.pl

Introduction

The research project regards Software Engineering based on Knowledge Engineering. The scope of the project includes but it is not limited to Knowledge Representation, Processing and Visualization methods. Main areas include:

Knowledge Representation Methods

Software Design Methods based on Knowledge Engineering

Knowledge-based Runtime Environments for Standalone and Embedded Systems

The main HeKatE Web Page: http://hekate.ia.agh.edu.pl

Motivation

There is a semantic gap in the contemporary Software Engineering which should be minimized

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.

The Knowledge Base can be easily extended to meet new requirements, implement new functionality etc.

Results

main conceptual background

design architecture and process

knowledge concetualization with ALSV(FD)

rulebase formalization with XTT2

the HaDEs design environment and toolset includes:

conceptual modeling with ARDplus using HJEd and VARDA

logical design with XTT2 using HQEd

automated implementation with HeaRT

knowledge translation with HaThoR

rule-based knowledgebase is:

described in a human-readable textual HMR notation, and

serialized to a machine-readable XML HML format

number of rule systems cases has been modeled using the HeKatE approach

all papers produced and related to the project

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