Demo Data from EDBT 2026 / reviewers in the wild / expert
Raphael M. Malyankar
dblp:04/2447
· DBLP profile ↗
2ranked-venue papers
1as first author
0since 2021 · last 2003
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Databases, data management, data science and information retrieval · 2 · 1 first-authorApplied, interdisciplinary, general and emerging computing · 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
1 paper |
Knowledge representation and reasoning · 100% | |
| Databases, data mining, and information retrieval
1 paper |
Database system architecture and tuning · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Knowledge, reasoning and agents › Knowledge representation and reasoning
ontology |
0.0 | 1 | 2002 | Vocabulary development for markup languages: a case study with maritime information · WWW 2002 |
Knowledge, reasoning and agents › Knowledge representation and reasoning › ontology
ontology construction |
0.0 | 1 | 2002 | Vocabulary development for markup languages: a case study with maritime information · WWW 2002 |
Database system architecture and tuning › database design
XML schema design |
0.0 | 1 | 2002 | Vocabulary development for markup languages: a case study with maritime information · WWW 2002 |
Methods — techniques the papers use, named apart from their topics
ontology engineering · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2003 | Models of and Experiments with E-Markets for Electric UtilitiesabstractMany Multi-Agent Systems (MASs) have been built that represent different social structures, such as alliances, teams, coalitions, conventions and markets. Our primary objective in this work was to establish a fairly general-purpose market structure that can be reused in other market-based MASs. We have implemented different models of a deregulated electricity market. The models vary in the types of interaction between buyers and sellers, the mechanisms used to transact deals in the market, and in the role of the central agent. Extensive experiments were then conducted on the models to determine the type of market structure best suited for trading. The criteria of evaluation were based on resource consumption, number of deals completed, demand satisfied, supply used, excess-over-need bought, and prices paid. The conclusions should be applicable to other deregulated consumer markets of "perishable" commodities with strong time-dependence. Vinutha Ram, Nicholas V. Findler, Raphael M. Malyankar |
Int. J. Cooperative Inf. Syst. | 3 |
| 2002 | Vocabulary development for markup languages: a case study with maritime informationabstractThis paper describes the process of constructing a markup language for maritime information from the starting point of ontology building. Ontology construction from source materials in the maritime information domain is outlined. The structure of the markup language is described in terms of XML schemas and DTDs. A prototype application that uses the markup language is also described. Raphael M. Malyankar |
WWW | 1 |