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Raman Rajagopalan

dblp:19/3008 · DBLP profile ↗
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4ranked-venue papers
4as first author
0since 2021 · last 1994
—ORCID · none

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

Artificial intelligence and machine learning · 4 · 4 first-authorGraphics, computer vision, multimedia, augmented reality and games · 3 · 3 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
2 papers
Knowledge representation and reasoning · 100%

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

TopicWeightPapersLastEvidence papers
Knowledge, reasoning and agents › Knowledge representation and reasoning
qualitative reasoning
0.021994
A Model for Integrated Qualitative Spatial and Dynamic Reasoning about Physical Systems · AAAI 1994
Qualitative Modeling in the Turbojet Engine Domain · AAAI 1984
Knowledge, reasoning and agents › Knowledge representation and reasoning › qualitative reasoning
qualitative spatial reasoning
0.011994
A Model for Integrated Qualitative Spatial and Dynamic Reasoning about Physical Systems · AAAI 1994
Knowledge, reasoning and agents › Knowledge representation and reasoning › commonsense reasoning
physical system reasoning
0.011994
A Model for Integrated Qualitative Spatial and Dynamic Reasoning about Physical Systems · AAAI 1994
Knowledge, reasoning and agents › Knowledge representation and reasoning › qualitative reasoning
qualitative modeling
0.011984
Qualitative Modeling in the Turbojet Engine Domain · AAAI 1984
Knowledge, reasoning and agents › Knowledge representation and reasoning › qualitative reasoning
qualitative simulation
0.011984
Qualitative Modeling in the Turbojet Engine Domain · AAAI 1984
YearPublicationVenuePosition
1994 A Model for Integrated Qualitative Spatial and Dynamic Reasoning about Physical Systems
Raman Rajagopalan
AAAI1
1994 The Figure Understander: A Tool for the Integration of Text and Graphical Input to a Knowledge Base
abstract
The paper describes the Figure Understander, a tool for integrating multimedia input in the form of graphically-drawn diagrams and text to a knowledge base. This tool has been designed to support applications. Such as a story or map understanding system that will benefit from the ability to input a spatial scene compactly through a diagram, but may require additional text to describe the domain properties of objects. Previous solutions to the problem of integrating text and pictorial input have been based on associating spatial images with text objects. The ambiguities associated with these methods are well known. We present an alternate approach which eliminates many of the sources of ambiguity by allowing semantic information to be provided directly within diagram objects. We illustrate the utility of our method through examples from two independent applications.>
Raman Rajagopalan
ICTAI1
1994 The Figure Understander: A System for Integrating Text and Diagram Input to a Knowledge Base
Raman Rajagopalan, Benjamin Kuipers
IEA/AIE1
1984 Qualitative Modeling in the Turbojet Engine Domain
Raman Rajagopalan
AAAI1