Demo Data from EDBT 2026 / reviewers in the wild / expert
Michelle LaMar
dblp:43/2771
· DBLP profile ↗
4ranked-venue papers
1as first author
0since 2021 · last 2016
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 3 · 1 first-authorApplied, interdisciplinary, general and emerging computing · 3 · 1 first-authorDatabases, data management, data science and information retrieval · 1
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.
| Databases, data mining, and information retrieval
1 paper |
Information retrieval · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Information retrieval › document processing › document analysis
document structure |
0.0 | 1 | 1992 | A Textual Object Management System · SIGIR 1992 |
Information retrieval › search engines
full-text search |
0.0 | 1 | 1992 | A Textual Object Management System · SIGIR 1992 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2016 | Modifying Cognitive Load Component Survey for K-12 STEM Testing
Janet Koster van Groos, Michelle LaMar |
CogSci | 3 |
| 2016 | Assessing Science Inquiry using MDP Goal Detectors
Michelle LaMar, Janet Koster van Groos |
CogSci | 1 |
| 2016 | The Impact of Interactivity on Simulation-Based Science Inquiry with Variable-Setting Controls
Jung Aa Moon, Michelle LaMar, Carolyn Forsyth, Madeleine Keehner |
CogSci | 2 |
| 1992 | A Textual Object Management SystemabstractComputer programs that access significant amounts of text usually include code that manipulates the textual objects that comprise it. Such programs include electronic mail readers, typesetters and, in particular, full-text information retrieval systems. Such code is often unsatisfying in that access to textual objects is either efficient, or flexible, but not both. A programming language like Awk or Perl provides very general facilities for describing textual objects, but at the cost of rescanning the text for every textual object. At the other extreme, full-text information retrieval systems usually offer access to a very limited number of kinds of textual objects, but this access is very efficient. The system described in this paper is a programming tool for managing textual objects. It provides a great deal of flexibility, giving access to very complex document structure, with a large number of constituent kinds of textual objects. Further, it provides access to these objects very efficiently, both in terms of time and auxiliary space, by being very careful to access secondary storage only when absolutely necessary. Scott C. Deerwester, Keith Waclena, Michelle LaMar |
SIGIR | 3 |