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Lampros Papageorgiou

dblp:131/4787 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2013
—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
Data integration and cleaning · 50% Query processing and optimization · 50%

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

TopicWeightPapersLastEvidence papers
Query processing and optimization
probabilistic query processing		 0.212013
Πgora: An Integration System for Probabilistic Data · ICDE 2013
Data integration and cleaning
uncertain data integration		 0.212013
Πgora: An Integration System for Probabilistic Data · ICDE 2013

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

stochastic automaton · 0.2pc-table · 0.2bayesian network · 0.2
YearPublicationVenuePosition
2013 Πgora: An Integration System for Probabilistic Data
abstract
Πgora is an integration system for probabilistic data modelled using different formalisms such as pc-tables, Bayesian networks, and stochastic automata. User queries are expressed over a global relational layer and are evaluated by Πgora using a range of strategies, including data conversion into one probabilistic formalism followed by evaluation using a formalism-specific engine, and hybrid plans, where subqueries are evaluated using engines for different formalisms. This demonstration allows users to experience Πgora on real-world heterogeneous data sources from the medical domain.
Dan Olteanu, Lampros Papageorgiou, Sebastiaan J. van Schaik
 ICDE2