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Georgina Ramírez

dblp:74/5510 · also Georgina Ramírez Camps · DBLP profile ↗
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6ranked-venue papers
4as 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 · 6 · 4 first-authorArtificial intelligence and machine learning · 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
2 papers
Information retrieval · 93% Data models and query languages · 7%

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

TopicWeightPapersLastEvidence papers
Information retrieval › document retrieval › structured document retrieval
XML retrieval		 0.122006
Using small XML elements to support relevance · SIGIR 2006
The TIJAH XML information retrieval system · SIGIR 2006
Information retrieval
retrieval models		 0.112006
Using small XML elements to support relevance · SIGIR 2006
Information retrieval › document retrieval
structured document retrieval		 0.112006
The TIJAH XML information retrieval system · SIGIR 2006
Data models and query languages
query language		 0.012006
The TIJAH XML information retrieval system · SIGIR 2006
YearPublicationVenuePosition
2013 WANTED: Focused Queries for Focused Retrieval
Georgina Ramírez
 ECIR1
2006 Using Structural Relationships for Focused XML Retrieval
Georgina Ramírez, Thijs Westerveld, Arjen P. de Vries
 FQAS1
2006 The TIJAH XML information retrieval system
abstract
No abstract available.
Henk Ernst Blok, Vojkan Mihajlovic, Georgina Ramírez, Thijs Westerveld, Djoerd Hiemstra, Arjen P. de Vries
 SIGIR3
2006 Using small XML elements to support relevance
abstract
Small XML elements are often estimated relevant by the retrieval model but they are not desirable retrieval units. This paper presents a generic model that exploits the information obtained from small elements. We identify relationships between small and relevant elements and use this linking information to reinforce the relevance of other elements before removing the small ones. Our experiments using the INEX testbed show the effectiveness of our approach.
Georgina Ramírez, Thijs Westerveld, Arjen P. de Vries
 SIGIR1
2005 Structural features in content oriented XML retrieval
abstract
The structural features of XML components are an extra source of information that should be used in a content-oriented retrieval task on this type of documents. In this paper we explore one of the structural features from the INEX collection [1] that could be used in content-oriented search. We analyse the gain this knowledge could add to the performance of an information retrieval system and present a first approach on how this structural information could be extracted from a relevance feedback process to be used as priors in a language modelling framework.
Georgina Ramírez, Thijs Westerveld, Arjen P. de Vries
 CIKM1
2005 TIJAH: Embracing IR Methods in XML Databases
Johan A. List, Vojkan Mihajlovic, Georgina Ramírez, Arjen P. de Vries, Djoerd Hiemstra, Henk Ernst Blok
 Inf. Retr.3