1993•Medical Entomology and ZoologyRequires access

Knowledge Acquisition for Knowledge-Based Systems: 7th European Workshop, Ekaw '93 Toulouse and Caylus, France September 6-10, 1993 Proceedings

Nathalie Aussenac, Guy André Boy, Brain R. Gaines, Mark Linster, Jean‐Gabriel Ganascia, Yves Kodratoff

Open publisher page 0 citations

Abstract

Modeling and extending expertise.- Knowledge acquisition in dynamic systems: How can logicism and situatedness go together?.- Steps in constructing problem solving methods.- Modelling artificial legal reasoning.- Systematic building of conceptual classification systems with C-KAT.- Making role-limiting shells more flexible.- A machine learning tool designed for a model-based knowledge acquisition approach.- Generic Tasks in KEW.- A review of Sisyphus 91 & 92: Models of problem-solving knowledge.- Heuristic control knowledge.- Model Construction in MIKE (Model based and Incremental Knowledge Engineering).- EXPECT: Intelligent support for knowledge base refinement.- CERISE: A cyclic approach for knowledge acquisition.- Personal construct psychology foundations for knowledge acquisition and representation.- Knowledge acquisition without analysis.- Acquisition and modelling of uncertain, incomplete and time-varying knowledge.- The emerging VITAL workbench.- MULTIS II: Enabling end-users to design problem-solving engines via two-level task ontologies.- The participatory design of a computer assisted knowledge engineering methodology and tool: The ALADIN+ Project.- Knowledge acquisition with visual functional programming.- Acquisition of gradual knowledge.- Acquisition and validation: from text to semantic network.

About this research paper

What this paper is about

Modeling and extending expertise.- Knowledge acquisition in dynamic systems: How can logicism and situatedness go together?.- Steps in constructing problem solving methods.- Modelling artificial legal reasoning.- Systematic building of conceptual classification systems with C-KAT.- Making role-limiting shells more flexible.- A machine learning tool designed for a model-based knowledge acquisition approach.- Generic Tasks in KEW.- A review of Sisyphus 91 & 92: Models of problem-solving knowledge.- Heuristic control knowledge.- Model Construction in MIKE (Model based and Incremental Knowledge Engineering).- EXPECT: Intelligent support for knowledge base refinement.- CERISE: A cyclic approach for knowledge acquisition.- Personal construct psychology foundations for knowledge acquisition and representation.- Knowledge acquisition without analysis.- Acquisition and modelling of uncertain, incomplete and time-varying knowledge.- The emerging VITAL workbench.- MULTIS II: Enabling end-users to design problem-solving engines via two-level task ontologies.- The participatory design of a computer assisted knowledge engineering methodology and tool: The ALADIN+ Project.- Knowledge acquisition with visual functional programming.- Acquisition of gradual knowledge.- Acquisition and validation: from text to semantic network.

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Modeling and extending expertise.- Knowledge acquisition in dynamic systems: How can logicism and situatedness go together?.- Steps in constructing problem solving methods.- Modelling artificial legal reasoning.- Systematic building of conceptual classification systems with C-KAT.- Making role-limiting shells more flexible.- A machine learning tool designed for a model-based knowledge acquisition approach.- Generic Tasks in KEW.- A review of Sisyphus 91 & 92: Models of problem-solving knowledge.- Heuristic control knowledge.- Model Construction in MIKE (Model based and Incremental Knowledge Engineering).- EXPECT: Intelligent support for knowledge base refinement.- CERISE: A cyclic approach for knowledge acquisition.- Personal construct psychology foundations for knowledge acquisition and representation.- Knowledge acquisition without analysis.- Acquisition and modelling of uncertain, incomplete and time-varying knowledge.- The emerging VITAL workbench.- MULTIS II: Enabling end-users to design problem-solving engines via two-level task ontologies.- The participatory design of a computer assisted knowledge engineering methodology and tool: The ALADIN+ Project.- Knowledge acquisition with visual functional programming.- Acquisition of gradual knowledge.- Acquisition and validation: from text to semantic network.

Key concepts: Knowledge acquisition, Computer science, Knowledge engineering, Procedural knowledge, Open Knowledge Base Connectivity, Knowledge integration, Knowledge base, Knowledge representation and reasoning

Related papers

Back to paper searchBrowse research topicsOriginal source
Knowledge Acquisition for Knowledge-Based Systems: 7th European Workshop, Ekaw '93 Toulouse and Caylus, France September 6-10, 1993 Proceedings — Research Paper | ScholarLens