KALIF Sharing Day on Ontologies 
Ontology Work in the DFKI Knowledge Management Group


Table of Contents

KALIF Sharing Day on Ontologies Ontology Work in the DFKI Knowledge Management Group 

Questions from the Agenda

K1: KnowNet's Objectives

K1: Some KnowNet Project WPs & Results

Product View and Process View

K2: Use of Ontologies: The Know-Net Tool

K2: Logic-Based Information Retrieval

K2: The Know-Net Advanced Search Interface

K2: Ontology Use in Know-Net: Steps to be Performed

K6: Which tools? The KASI Ontology Editor

K6: Which Tools do you use? - The Know-Net Ontology Editor

K2: Document Indexing

K2: The KASI Query Interface

K2: Document Retrieval

K3: Requirements for Representation and Development

K3: Specification Language: OCRA

K3: OCRA: The KnowMore Representation Formalism is an Object-Oriented and Relational Language

K3: The OCRA is Strictly Typed 

K3: OCRA: Annotations Allow Complex Semantic Nets to be Modeled 

K3: OCRA: Objects Have a Textual Representation

Origin of OCRA: The Intelligent Fault Recording System Realizes a Model-Based Recording Approach for Machine Diagnosis Experiences

Intelligent Fault Recording: The Machine Model Describes Structure and Components of the Equipment

Intelligent Fault Recording: Each Step is Documented in a Structured Way

Intelligent Fault Recording: Flexible Queries Enable Specific Information Access

Ontology Use: The Machine Model Facilitates Query Expansion

K4: Is XML an Option?

K3: Some Critical Reflections

K5: Requirements for Ontology Development Tools

K6: Ontology Development: An Approach for Acquisition+Maintenance was Developed Based on Automatic Thesaurus Generation

Documents Are a Plentiful Source of Information Available in any Application Domain that can be Automatically Processed

The Thesaurus Generation Tool TRex was Extended and Enhanced

K6: An Editor Realizes the Thesaurus-Based Ontology Construction Method to Support the Cumbersome Task of Ontology Generation

K6: The User is Responsible for the Selection of Concepts and Link Types

K6: Ontology Usage: The Document Description Relates Information Items to Concepts From the Domain Ontology

The TCW Tool for Learning Text Classification has been Integrated to Automatically Create Meta Information for Text Documents in the OM 

K6: Ontology Usage: Text Documents are Categorized Automatically Using TCW

An Overall Perspective: A Comprehensive Toolbox Supports all Modeling Tasks in an Organizational Memory Setting

The End

Autor: DFKI Knowledge Mgt Group

E-Mail: aabecker@dfki.uni-kl.de

Homepage: http://www.dfki.uni-kl.de/~aabecker/

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