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Jacobijn Sandberg

dblp:16/2518 · DBLP profile ↗
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7ranked-venue papers
2as first author
0since 2021 · last 2012
—ORCID · none

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

Artificial intelligence and machine learning · 5 · 2 first-authorGraphics, computer vision, multimedia, augmented reality and games · 3 · 2 first-authorDatabases, data management, data science and information retrieval · 2Human-computer interaction and ubiquitous computing · 2Applied, interdisciplinary, general and emerging computing · 2

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%
Human-computer interaction and pervasive computing
1 paper
User interface design and tools · 100%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Knowledge, reasoning and agents › Knowledge representation and reasoning
situated cognition
0.011991
How Situated is Cognition? · IJCAI 1991
Knowledge, reasoning and agents › Knowledge representation and reasoning
user modeling
0.011987
A Shell for Intelligent Help Systems · IJCAI 1987

Methods — techniques the papers use, named apart from their topics

shell design · 0.0
YearPublicationVenuePosition
2012 ZooQuest: A Mobile Game-Based Learning Application for Fifth Graders
Gerard Veenhof, Jacobijn Sandberg, Marinus Maris
ITS2
2011 Using an Ontology to Automatically Generate Questions for the Determination of Situations
Marten Teitsma, Jacobijn Sandberg, Marinus Maris, Bob J. Wielinga
DEXA (2)2
2005 Added value of a task model and role of metacognition in learning
Christoph Noor, Jacobijn Sandberg, Bob J. Wielinga
AIED2
2001 From thesaurus to ontology
abstract
Thesauri such as the Art and Architecture Thesaurus (AAT) provide structured vocabularies for describing art objects. However, if we want to create a knowledge-rich description of an (image of an) art object, such as required by the "semantic web", thesauri turn out to provide only part of the knowledge needed. In this paper we look at problems related to capturing background knowledge for art resources. We describe a case study in which we attempt to construct an ontology for a subset of art-object descriptions, namely antique furniture, using AAT as well as metadata standards as input. We discuss the representation requirements for such an ontology as well as representational problems for our sample ontology with respect to the emerging web standards for knowledge representation (RDF, RDFS, OIL).
Bob J. Wielinga, Guus Schreiber, Jan Wielemaker, Jacobijn Sandberg
K-CAP4
1991 How Situated is Cognition?
Jacobijn Sandberg, Bob J. Wielinga
IJCAI1
1988 Research on HELP-Systems: Empirical Study and Model Construction
Jacobijn Sandberg, Joost Breuker, Radboud Winkels
ECAI1
1987 A Shell for Intelligent Help Systems
Joost Breuker, Radboud Winkels, Jacobijn Sandberg
IJCAI3