Demo Data from EDBT 2026 / reviewers in the wild / expert
Dalila Kerkouba
dblp:45/23
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 1986
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Databases, 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 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Information retrieval › search engines
full-text search |
0.0 | 1 | 1986 | IOTA: A Full Text Information Retrieval System · SIGIR 1986 |
Information retrieval › query processing
natural language query processing |
0.0 | 1 | 1986 | IOTA: A Full Text Information Retrieval System · SIGIR 1986 |
Information retrieval
query processing |
0.0 | 1 | 1986 | IOTA: A Full Text Information Retrieval System · SIGIR 1986 |
Information retrieval › document retrieval
structured document retrieval |
0.0 | 1 | 1986 | IOTA: A Full Text Information Retrieval System · SIGIR 1986 |
Information retrieval › indexing
document indexing |
0.0 | 1 | 1986 | IOTA: A Full Text Information Retrieval System · SIGIR 1986 |
Methods — techniques the papers use, named apart from their topics
heuristic pattern matching · 0.0automatic thesaurus construction · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1986 | IOTA: A Full Text Information Retrieval SystemabstractIOTA is a prototype of an Information Retrieval System which can manage a corpus made of highly structured, full text documents. The first version presented here has intelligent capabilities related to heuristic pattern matching procedures for processing natural language queries, which involve an automatically built thesaurus. The paper emphazises the overall principles of query processing and gives hints about the underlying techniques used while constructing the thesaurus and automatically indexing highly structured documents. Yves Chiaramella, Bruno Defude, Marie-France Bruandet, Dalila Kerkouba |
SIGIR | 4 |