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

Flavio Bayer

dblp:200/2268 · DBLP profile ↗
← Back
1ranked-venue papers
0as first author
0since 2021 · last 2017
—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
Database system architecture and tuning · 77% Query processing and optimization · 23%
Artificial intelligence
1 paper
Information extraction and text analysis · 100%

Topics — the 1 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Query processing and optimization › query execution
algebraic query processing		 0.112017
A Demonstration of TextDB: Declarative and Scalable Text Analytics on Large Data Sets · ICDE 2017

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

declarative query language · 0.6algebraic approach · 0.6
YearPublicationVenuePosition
2017 A Demonstration of TextDB: Declarative and Scalable Text Analytics on Large Data Sets
abstract
We are developing TextDB, an open-source datamanagement system that supports text-centric operations in a declarative and efficient way using an algebraic approach as in relational DBMS. In this demonstration, we show scenarios where we can use TextDB to perform powerful information extraction easily and efficiently on text documents. Video: https://github.com/TextDB/textdb/wiki/Video.
Zuozhi Wang, Flavio Bayer, Kishore Narendran, Xuxi Pan, Jimmy Wang, Chen Li 0001
 ICDE2