Demo Data from SIGIR 2026 / reviewers in the wild / expert
John Kontos
dblp:10/5735
· DBLP profile ↗
8ranked-venue papers
7as first author
0since 2021 · last 2002
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 3 · 3 first-authorApplied, interdisciplinary, general and emerging computing · 3 · 2 first-authorArtificial intelligence and machine learning · 2 · 2 first-authorSoftware engineering, systems software and programming languages · 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.
| Software engineering, system software, and programming languages
1 paper |
Compilers and program optimization · 62% Programming languages and type systems · 38% | |
| Computer architecture, parallel and distributed computing, and storage systems
2 papers |
Embedded and real-time systems · 62% Integrated circuit design · 19% Performance modeling and evaluation · 19% |
Topics — the 6 heaviest of 6, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Compilers and program optimization
attribute grammar evaluation |
0.0 | 1 | 1982 | The Interpretation of Meta Grammars Describing Syntax-Directed Interpreters Using an Attribute Grammar Interpreter · IEEE Trans. Software Eng. 1982 |
Programming languages and type systems › grammar formalisms
attribute grammars |
0.0 | 1 | 1982 | The Interpretation of Meta Grammars Describing Syntax-Directed Interpreters Using an Attribute Grammar Interpreter · IEEE Trans. Software Eng. 1982 |
Programming languages and type systems › language semantics
formal semantics |
0.0 | 1 | 1982 | The Interpretation of Meta Grammars Describing Syntax-Directed Interpreters Using an Attribute Grammar Interpreter · IEEE Trans. Software Eng. 1982 |
Embedded and real-time systems
real-time simulation |
0.0 | 1 | 1971 | A Simulation Method for Computer Control Systems · IEEE Trans. Computers 1971 |
Integrated circuit design › analog and mixed-signal circuits
analog circuit design |
0.0 | 1 | 1971 | An Iterative Analog Computer Using Pulse-Ratio Modulation · IEEE Trans. Computers 1971 |
Performance modeling and evaluation
simulation |
0.0 | 1 | 1971 | A Simulation Method for Computer Control Systems · IEEE Trans. Computers 1971 |
Methods — techniques the papers use, named apart from their topics
meta-grammar interpretation · 0.0attribute grammar interpretation · 0.0two-computer simulation · 0.0pulse-ratio modulation · 0.0optimum control · 0.0eigenvalue computation · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2002 | ARISTA Causal Knowledge Discovery from Texts
John Kontos, Areti Elmaoglou, Ioanna Malagardi |
Discovery Science | 1 |
| 2000 | ARISTA Generative Lexicon for Compound Greek Medical Terms
John Kontos, Ioanna Malagardi, Spyros Fountoukis |
LREC | 1 |
| 1988 | Knowledge Acquisition from Technical Texts Using Attribute GrammarsabstractThe work reported in the present paper concerns the development of a computer system which can acquire an attribute grammar knowledge base from a technical text. The use of attribute grammars is explored both in the implementation of the system and in the target-knowledge representation of the text content. Knowledge-based encoding of the text knowledge content is accomplished and inferential exploitation of the resulting knowledge base is possible using the same attribute grammar interpreter as our knowledge engineering tool. The specific problems involved in using attribute grammars for representing both the knowledge content of a text and the knowledge required for extracting and formalising that content are studied, and some solutions are proposed. The techniques proposed can be applied to technical texts that deliver knowledge about the structure of objects and the functional relations of their parts. The prerequisite knowledge problem for text analysis is addressed and faced using attribute grammars. The kinds of prerequisite knowledge considered include subject-related background knowledge, linguistic knowledge and representation knowledge. John Kontos, John C. Cavouras |
Comput. J. | 1 |
| 1986 | Knowledge Representation with Attribute GrammarsabstractThe use of attribute grammars for knowledge representation is examined in the present paper. It is shown how data knowledge and knowledge-base knowledge can be represented using syntactic and semantic notation. Control knowledge is represented by the parsing mechanism of the interpreter used. It is proposed that attribute grammar evaluators may prove to be useful knowledge engineering tools. George K. Papakonstantinou, John Kontos |
Comput. J. | 2 |
| 1982 | Syntax-directed plan recognition with a microcomputer
John Kontos |
Microprocessing and Microprogramming | 1 |
| 1982 | The Interpretation of Meta Grammars Describing Syntax-Directed Interpreters Using an Attribute Grammar InterpreterabstractA syntax-directed interpreter of attribute grammars is applied to interpret meta grammars describing translators. A specific example is used which concerns the formal description of the same syntax-directed interpreter of attribute grammars for illustration of our approach. John Kontos, George K. Papakonstantinou |
IEEE Trans. Software Eng. | 1 |
| 1971 | An Iterative Analog Computer Using Pulse-Ratio ModulationabstractThe design and the performance of a fast iterative analog computer that is based on the use of pulse-ratio modulation representation is presented. The basic element employed in the design of the computing units of the computer is a pulse-ratio modulator. The solution of an eigenvalue problem by the computer is presented as an example of its applications. The results obtained agree well with analytical calculations. John Kontos |
IEEE Trans. Computers | 1 |
| 1971 | A Simulation Method for Computer Control SystemsabstractA computer control system simulation method utilizing two computers is presented. One is a control computer operating under almost actual conditions. The other is a multiprogrammed computer that simulates the plant. The time taken by the control computer to compute the control variables can be a function of the plant state. An optimum control example illustrating the application of the method is given. John Kontos, George K. Papakonstantinou |
IEEE Trans. Computers | 1 |