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Stephan M. Kerpedjiev

dblp:97/64 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Visualization and visual analytics › information visualization
information graphics
0.012004
AutoBrief: an experimental system for the automatic generation of briefings in integrated text and information graphics · Int. J. Hum. Comput. Stud. 2004
YearPublicationVenuePosition
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 discourse
abstract
We 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
IUI1
1997 Integrating Planning and Task-Based Design for Multimedia Presentation
abstract
We 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
IUI1
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 Information
abstract
: 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
CIKM1
1992 Generation of Informative Texts with Style
Stephan M. Kerpedjiev
COLING1
1990 Intelligent Handling Of Weather Forecasts
Stephan M. Kerpedjiev, Veska Noncheva
COLING1