Demo Data from EDBT 2026 / reviewers in the wild / expert
Stephan M. Kerpedjiev
dblp:97/64
· DBLP profile ↗
8ranked-venue papers
6as first author
0since 2021 · last 2004
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 4 · 4 first-authorHuman-computer interaction and ubiquitous computing · 4 · 2 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.
| Human-computer interaction and pervasive computing
1 paper |
User interface design and tools · 100% | |
| Computer graphics and multimedia
1 paper |
Visualization and visual analytics · 100% |
Topics — the 1 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Visualization and visual analytics › information visualization
information graphics |
0.0 | 1 | 2004 | AutoBrief: an experimental system for the automatic generation of briefings in integrated text and information graphics · Int. J. Hum. Comput. Stud. 2004 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2004 | AutoBrief: an experimental system for the automatic generation of briefings in integrated text and information graphics
Nancy L. Green, Giuseppe Carenini, Stephan M. Kerpedjiev, Joe Mattis, Johanna D. Moore, Steven F. Roth |
Int. J. Hum. Comput. Stud. | 3 |
| 2001 | Mapping communicative goals into conceptual tasks to generate graphics in discourse
Stephan M. Kerpedjiev, Steven F. Roth |
Knowl. Based Syst. | 1 |
| 2000 | Mapping communicative goals into conceptual tasks to generate graphics in discourseabstractWe address the problem of realizing communicative plans in graphics. Our approach calls for mapping communicative goals to conceptual tasks and then using task-based graphic design for selecting graphical techniques. In this paper, we present the mapping rules in several dimensions: data aggregation and selection, task synthesis, and task aggregation. Those rules have been incorporated in AutoBrief, a research system for multimedia explanation. Stephan M. Kerpedjiev, Steven F. Roth |
IUI | 1 |
| 1997 | Integrating Planning and Task-Based Design for Multimedia PresentationabstractWe claim that automatic multimedia presentation can be modeled by integrating two complementary approaches to automatic design: hierarchical planning to achieve communicative goals, and task-based graphic design. The interface between the two approaches is a domain and media independent layer of communicative goals and actions. A planning process decomposes domain-specific goals to domain-independent goals, which in turn are realized by media-specific techniques. One of these techniques is taskbased graphic design. We apply our approach to presenting information from large data sets using natural language and information graphics. Keywords Multimedia presentation, information seeking tasks, media allocation, information graphics, presentation planning. INTRODUCTION Understanding large data sets and explaining them to others via effective displays is a complex, laborious and time consuming activity. Analysts and other types of specialists on a daily and sometimes hourly basis explor... Stephan M. Kerpedjiev, Giuseppe Carenini, Steven F. Roth, Johanna D. Moore |
IUI | 1 |
| 1997 | Toward an Information Visualization Workspace: Combining Multiple Means of Expression
Steven F. Roth, Mei C. Chuah, Stephan M. Kerpedjiev, John Kolojejchick, Peter Lucas 0002 |
Hum. Comput. Interact. | 3 |
| 1993 | Model-driven Hypermedia Access to Weather Informationabstract: A framework is presented for hypermedia access to weather information originating from gridded data sets. The information is presented on different media (map, text, graph, table, image), depending on what aspect is emphasized. The user navigates by selecting an element that is already displayed, and a new product is generated that provides additional details about the selected element. The contents of a product is represented by a description, which is an organized chunk of assertions. Each assertion provides a single weather characteristic to a given region and time period. Three knowledge bases (weather, territory, and time models) define the objects participating in the assertions and drive the generation. Keywords: hypermedia, domain modeling, media modeling, assertional systems, applications 1. Introduction We are in the era of numerical weather analysis and forecasting. Advanced data sets are generated with high temporal and spatial resolution. However, these data sets canno... Stephan M. Kerpedjiev |
CIKM | 1 |
| 1992 | Generation of Informative Texts with Style
Stephan M. Kerpedjiev |
COLING | 1 |
| 1990 | Intelligent Handling Of Weather Forecasts
Stephan M. Kerpedjiev, Veska Noncheva |
COLING | 1 |