Demo Data from EDBT 2026 / reviewers in the wild / expert
Eugen Popovici
dblp:87/6095
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2007
—ORCID · none
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
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 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Information retrieval › document retrieval
structured document retrieval |
0.1 | 1 | 2007 | An effective method for finding best entry points in semi-structured documents · SIGIR 2007 |
Information retrieval
evaluation |
0.0 | 1 | 2007 | An effective method for finding best entry points in semi-structured documents · SIGIR 2007 |
Methods — techniques the papers use, named apart from their topics
focused structured document retrieval · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2007 | An effective method for finding best entry points in semi-structured documentsabstractFocused structured document retrieval employs the concept of best entry point (BEP), which is intended to provide optimal starting-point from which users can browse to relevant document components [4]. In this paper we describe and evaluate a method for finding BEPs in XML documents. Experiments conducted within the framework of INEX 2006 evaluation campaign on the Wikipedia XML collection [2] shown the effectiveness of the proposed approach. Eugen Popovici, Pierre-François Marteau, Gildas Ménier |
SIGIR | 1 |