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Zubaria Asma

dblp:205/9253 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2024
0000-0002-9402-7487ORCID · reported

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

Databases, data management, data science and information retrieval · 1 · 1 first-author · 1 since 2021Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author · 1 since 2021

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
Graph data management · 61% Data integration and cleaning · 30% Data models and query languages · 9%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Data integration and cleaning
data provenance
0.812024
NPCS: Native Provenance Computation for SPARQL · WWW 2024
Graph data management
RDF data management
0.812024
NPCS: Native Provenance Computation for SPARQL · WWW 2024
Graph data management › RDF data management
SPARQL query processing
0.812024
NPCS: Native Provenance Computation for SPARQL · WWW 2024
Data models and query languages › RDF query language
SPARQL
0.212024
NPCS: Native Provenance Computation for SPARQL · WWW 2024

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

provenance computation · 0.8
YearPublicationVenuePosition
2024 NPCS: Native Provenance Computation for SPARQL
abstract
International audience
Zubaria Asma, Daniel Hernández 0002, Luis Galárraga, Giorgos Flouris, Irini Fundulaki, Katja Hose
WWW1