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EDBT 2026 Demo / reviewers in the wild / expert

Judith Winter

dblp:70/457 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2008
—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%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Distributed systems · 100%

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

TopicWeightPapersLastEvidence papers
Information retrieval › distributed information retrieval
peer-to-peer search		 0.112008
Exploiting XML structure to improve information retrieval in peer-to-peer systems · SIGIR 2008
Information retrieval › document retrieval
structured document retrieval		 0.112008
Exploiting XML structure to improve information retrieval in peer-to-peer systems · SIGIR 2008
Information retrieval › document retrieval › structured document retrieval
XML retrieval		 0.112008
Exploiting XML structure to improve information retrieval in peer-to-peer systems · SIGIR 2008
Distributed systems
peer-to-peer systems		 0.012008
Exploiting XML structure to improve information retrieval in peer-to-peer systems · SIGIR 2008

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

XML structure exploitation · 0.2
YearPublicationVenuePosition
2008 Exploiting XML structure to improve information retrieval in peer-to-peer systems
abstract
With the advent of XML as a standard for representation and exchange of structured documents, a growing amount of XML-documents are being stored in Peer-to-Peer (P2P) networks. Cur¬rent research on P2P search engines proposes the use of Informa¬tion Retrieval (IR) techniques to perform content-based search, but does not take into account structural features of documents.
Judith Winter
 SIGIR1