Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page
Demo Data from SIGIR 2026 / reviewers in the wild / expert

Sergio Perelli

dblp:117/6017 · DBLP profile ↗
← Back
1ranked-venue papers
0as first author
0since 2021 · last 2012
—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 models and query languages · 50% Knowledge graphs · 50%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Environmental and earth informatics · 100%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Data models and query languages › multidimensional database
array DBMS		 0.112012
TELEIOS: A Database-Powered Virtual Earth Observatory · Proc. VLDB Endow. 2012
Knowledge graphs
semantic web		 0.112012
TELEIOS: A Database-Powered Virtual Earth Observatory · Proc. VLDB Endow. 2012

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

stSPARQL · 0.3stRDF · 0.3SciQL · 0.3column-store · 0.1column store · 0.1
YearPublicationVenuePosition
2012 TELEIOS: A Database-Powered Virtual Earth Observatory
abstract
TELEIOS is a recent European project that addresses the need for scalable access to petabytes of Earth Observation data and the discovery and exploitation of knowledge that is hidden in them. TELEIOS builds on scientific database technologies (array databases, SciQL, data vaults) and Semantic Web technologies (stRDF and stSPARQL) implemented on top of a state of the art column store database system (MonetDB). We demonstrate a first prototype of the TELEIOS Virtual Earth Observatory (VEO) architecture, using a forest fire monitoring application as example.
Manolis Koubarakis, Kostis Kyzirakos, Manos Karpathiotakis, Charalampos Nikolaou, Stavros Vassos, George Garbis, Michael Sioutis, Konstantina Bereta, Dimitrios Michail 0001, Charalambos Kontoes, Ioannis Papoutsis, Themos Herekakis, Stefan Manegold, Martin L. Kersten, Milena Ivanova, Holger Pirk, Ying Zhang 0027, Mihai Datcu, Gottfried Schwarz, Corneliu Octavian Dumitru, Daniela Espinoza-Molina, Katrin Molch, Ugo Di Giammatteo, Manuela Sagona, Sergio Perelli, Thorsten Reitz, Eva Klien, Robert Gregor
 Proc. VLDB Endow.25