Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.

John Jeffrey

dblp:49/717 · DBLP profile ↗
← Back
2ranked-venue papers
2as first author
0since 2021 · last 1996
—ORCID · none

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

Artificial intelligence and machine learning · 1 · 1 first-authorSoftware engineering, systems software and programming languages · 1 · 1 first-authorDatabases, data management, data science and information retrieval · 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.

Theoretical computer science
1 paper
Logic in computer science · 40% Automata and formal languages · 40% Automated reasoning and model checking · 20%

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

TopicWeightPapersLastEvidence papers
Automata and formal languages › petri nets
high-level petri nets
0.011996
A High-Level Petri Net for Goal-Directed Semantics of Horn Clause Logic · IEEE Trans. Knowl. Data Eng. 1996
Logic in computer science › logic programming
horn clauses
0.011996
A High-Level Petri Net for Goal-Directed Semantics of Horn Clause Logic · IEEE Trans. Knowl. Data Eng. 1996
Logic in computer science
logic programming
0.011996
A High-Level Petri Net for Goal-Directed Semantics of Horn Clause Logic · IEEE Trans. Knowl. Data Eng. 1996
Automata and formal languages
petri nets
0.011996
A High-Level Petri Net for Goal-Directed Semantics of Horn Clause Logic · IEEE Trans. Knowl. Data Eng. 1996
Automated reasoning and model checking › theorem proving › resolution theorem proving
SLD-resolution
0.011996
A High-Level Petri Net for Goal-Directed Semantics of Horn Clause Logic · IEEE Trans. Knowl. Data Eng. 1996

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

algebraic characterization · 0.0AND/OR parallel execution · 0.0
YearPublicationVenuePosition
1996 A High-Level Petri Net for Goal-Directed Semantics of Horn Clause Logic
abstract
A new high level Petri net (HLPN) model is introduced as a graphical syntax for Horn clause logic (HCL) programs. We call these nets: Horn clause logic goal directed nets (HCLGNs). It is shown that there is a bijection between the queried definite programs and the class of HCLGNs. In addition, a visualization of SLD resolution is realized through the enabling and firing rules and net markings. The correctness of these rules with respect to SLD resolution is also proven. We model SLD refutations and failing computations. It is shown how HCLGNs can be used to model built in atoms and provide a new AND/OR parallel execution model. Recently, several software packages (graphical editors) have become available for editing and executing HLPNs. The simulation capabilities of the HLPN software offer opportunities to perform automated, interactive code walk throughs and also have potential for providing a framework for visual debugging environments. However, HCLGNs differ from the major classes of HLPNs for which software tools have been developed in primarily two ways: the tokens in the markings can have variables; and the firing of a transition may not only update the marking of the adjacent places, but may instantiate variables in tokens in the markings of places that are non adjacent to the fired transition. Thus, the existing packages can only provide graphical syntax editing and are not appropriate for graphical simulation of HCLGNs. We provide an algebraic characterization of HCLGNs that can serve as a design guideline for implementing HCLGNs.
John Jeffrey, Jorge Lobo 0001, Tadao Murata
IEEE Trans. Knowl. Data Eng.1
1990 A High-Level Petri Net for a Subset of FGHC
John Jeffrey, Tadao Murata
SEKE1