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
E-Mail: aabecker@dfki.uni-kl.de
Homepage: http://www.dfki.uni-kl.de/~aabecker/
Load presentation