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Johann Schweiger

dblp:30/6259 · DBLP profile ↗
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4ranked-venue papers
3as first author
0since 2021 · last 1994
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 4 · 3 first-authorSystems, architecture and hardware · 3 · 2 first-authorGraphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
2 papers
Knowledge representation and reasoning · 100%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Distributed systems · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Knowledge, reasoning and agents › Knowledge representation and reasoning › semantic representation
distributed knowledge representation
0.011994
Facilitating Teamwork of Autonomous Systems with a Distributed Real-Time Knowledge Base · ICRA 1994
Distributed systems
distributed coordination
0.011994
Facilitating Teamwork of Autonomous Systems with a Distributed Real-Time Knowledge Base · ICRA 1994
Knowledge, reasoning and agents › Knowledge representation and reasoning
constraint specification
0.011990
Generating expert systems for configuration tasks · ICRA 1990
Knowledge, reasoning and agents › Knowledge representation and reasoning
expert systems
0.011990
Generating expert systems for configuration tasks · ICRA 1990

Methods — techniques the papers use, named apart from their topics

object structure with demons · 0.0local knowledge base cooperation · 0.0formal specification language · 0.0constraint satisfaction · 0.0
YearPublicationVenuePosition
1994 Facilitating Teamwork of Autonomous Systems with a Distributed Real-Time Knowledge Base
abstract
Flexible planning and control of a factory requires concepts for the representation of the local and global knowledge of the autonomous systems working in teams. Therefore, the author developed a distributed real-time knowledge base that facilitates team work of autonomous systems in flexible manufacturing environments. The knowledge base consists of several local knowledge bases cooperating with each other. In each local knowledge base the knowledge is represented as an object structure with demons. If several autonomous systems cooperate to perform a certain task, the local knowledge bases of these autonomous systems form a team to provide the knowledge needed by the autonomous systems. First applications with single local knowledge bases have been successfully implemented.>
Johann Schweiger
ICRA1
1994 A Distributed Real-Time Knowledge Base for Teams of Autonomous Systems in Manufacturing Environments
Johann Schweiger, Andreas Koller 0002
IEA/AIE1
1994 Concepts of a distributed real-time knowledge base for teams of autonomous systems
abstract
Flexible planning and control of a factory requires concepts for the representation of the local and global knowledge of the autonomous systems working in teams. Therefore, we developed a distributed real-time knowledge base that facilitates teamwork of autonomous systems in flexible manufacturing environments. The knowledge base consists of several local knowledge bases cooperating with each other. In each local knowledge base the knowledge is represented as an object structure with demons. The local knowledge bases provide multi-user and real-time access. Each local knowledge base has an active component which asynchronously passes changed data to interested application processes. If several autonomous systems cooperate to perform a certain task, the local knowledge bases of these autonomous systems form a team to provide the knowledge needed by the autonomous systems. The local knowledge bases cooperate by means of selective updating and location-transparent access to the global knowledge. First applications with single local knowledge bases in the fields of image interpretation, navigation and task planning have been successfully implemented.>
Johann Schweiger, Karim Ghandri, Andreas Koller 0002
IROS1
1990 Generating expert systems for configuration tasks
abstract
KONFGEN, a system that speeds up the work of building and updating expert systems, is discussed. It generates expert systems for configuration tasks (e.g. configuration of machines) from a formal, constraint-based specification of the machine's components and their interdependence. A formal language which is used to specify a configuration problem, the different kinds of constraints the language supports, the evaluation of those constraints by the expert system generated, and how KONFGEN generates an expert system from a problem specification are described.>
Siegfried Bocionek, Peter Buchka, Johann Schweiger
ICRA3