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Arno Schönegge

dblp:56/1381 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 1998
—ORCID · none

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

Software engineering, systems software and programming languages · 1Human-computer interaction and ubiquitous computing · 1

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.

Software engineering, system software, and programming languages
2 papers
Program verification · 100%
Artificial intelligence
2 papers
Trustworthy machine learning · 54% Knowledge representation and reasoning · 46%

Topics — the 4 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Machine learning › Trustworthy machine learning
verification
0.011998
Inverse verification of problem-solving methods · Int. J. Hum. Comput. Stud. 1998
Knowledge, reasoning and agents › Knowledge representation and reasoning
knowledge-based systems
0.011997
Using KIV to Specify and Verify Architectures of Knowledge-Based Systems · ASE 1997
Program verification
proof assistants
0.011997
Using KIV to Specify and Verify Architectures of Knowledge-Based Systems · ASE 1997
Program verification
specification verification
0.011997
Using KIV to Specify and Verify Architectures of Knowledge-Based Systems · ASE 1997

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

inverse verification · 0.0theorem prover · 0.0dynamic logic · 0.0abstract data types · 0.0
YearPublicationVenuePosition
1998 Inverse verification of problem-solving methods
Dieter Fensel, Arno Schönegge
Int. J. Hum. Comput. Stud.2
1997 Using KIV to Specify and Verify Architectures of Knowledge-Based Systems
abstract
Building knowledge-based systems from reusable elements is a key factor in developing them economically. However, one has to ensure that the assumptions and functionality of the reused building block fit together with each other and the specific circumstances of the actual problem and knowledge. We use the Karlsruhe Interactive Verifier (KIV) for this purpose. We show how the verification of conceptual and formal specifications of knowledge-based systems can be performed with it. KIV was originally developed for the verification of procedural programs but it serves well for verifying knowledge-based systems. Its specification language is based on abstract data types for the functional specification of components and dynamic logic for the algorithmic specification. It provides an interactive theorem prover integrated into a sophisticated tool environment supporting aspects like the automatic generation of proof obligations, generation of counter examples, proof management, proof reuse etc. Such a support is essential for making the verification of complex specifications feasible. We provide some examples on how to specify and verify tasks, problem-solving methods, and their relationships.
Dieter Fensel, Arno Schönegge
ASE2