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Dalila Kerkouba

dblp:45/23 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Information retrieval › search engines
full-text search
0.011986
IOTA: A Full Text Information Retrieval System · SIGIR 1986
Information retrieval › query processing
natural language query processing
0.011986
IOTA: A Full Text Information Retrieval System · SIGIR 1986
Information retrieval
query processing
0.011986
IOTA: A Full Text Information Retrieval System · SIGIR 1986
Information retrieval › document retrieval
structured document retrieval
0.011986
IOTA: A Full Text Information Retrieval System · SIGIR 1986
Information retrieval › indexing
document indexing
0.011986
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
YearPublicationVenuePosition
1986 IOTA: A Full Text Information Retrieval System
abstract
IOTA 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
SIGIR4