Recall oriented search on the web using semantic annotations

Rianne Kaptein; Egon van den Broek; Gijs Koot; Mirjam A.A. Huis in 't Veld

doi:10.1145/2513204.2513219

Recall oriented search on the web using semantic annotations

Rianne Kaptein, Egon van den Broek, Gijs Koot, Mirjam A.A. Huis in 't Veld

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

2 Citations (Scopus)

280 Downloads (Pure)

Abstract

Web search engines are optimized for early precision, which makes it difficult to perform recall oriented tasks with them. In this article, we propose several ways to leverage semantic annotations and, thereby, increase the efficiency of recall oriented search tasks, with a focus on forensic investigation. Semantic annotations, such as temporal annotations, named entities, and domain context, can be used to rerank, and cluster search result sets. In addition, domain context can be used to improve recall.

Original language	Undefined
Title of host publication	Proceedings of the Sixth International Workshop on Exploiting Semantic Annotations in Information Retrieval (ESAIR'13)
Editors	P.N. Bennett, E. Gabrilovich, J. Kamps, J. Karlgren
Place of Publication	New York
Publisher	Association for Computing Machinery
Pages	45-48
Number of pages	4
ISBN (Print)	978-1-4503-2413-7
DOIs	https://doi.org/10.1145/2513204.2513219
Publication status	Published - 28 Oct 2013
Event	Sixth International Workshop on Exploiting Semantic Annotations in Information Retrieval (ESAIR'13), San Francisco, CA, USA: Proceedings of the Sixth International Workshop on Exploiting Semantic Annotations in Information Retrieval (ESAIR'13) - New York Duration: 28 Oct 2013 → …

Publication series

Name
Publisher	ACM

Conference

Conference	Sixth International Workshop on Exploiting Semantic Annotations in Information Retrieval (ESAIR'13), San Francisco, CA, USA
City	New York
Period	28/10/13 → …

Keywords

EWI-23910
HMI-SLT: Speech and Language Technology
Clustering
Information search and retrieval
IR-88335
Named Entity Recognition
Recall Oriented Search
METIS-300126
Domain Context

Access to Document

10.1145/2513204.2513219

Cite this

Kaptein, R., van den Broek, E., Koot, G., & Huis in 't Veld, M. A. A. (2013). Recall oriented search on the web using semantic annotations. In P. N. Bennett, E. Gabrilovich, J. Kamps, & J. Karlgren (Eds.), Proceedings of the Sixth International Workshop on Exploiting Semantic Annotations in Information Retrieval (ESAIR'13) (pp. 45-48). Association for Computing Machinery. https://doi.org/10.1145/2513204.2513219

Kaptein, Rianne ; van den Broek, Egon ; Koot, Gijs et al. / Recall oriented search on the web using semantic annotations. Proceedings of the Sixth International Workshop on Exploiting Semantic Annotations in Information Retrieval (ESAIR'13). editor / P.N. Bennett ; E. Gabrilovich ; J. Kamps ; J. Karlgren. New York : Association for Computing Machinery, 2013. pp. 45-48

@inproceedings{c282def03e5b485dabb2c619c3adf9f6,

title = "Recall oriented search on the web using semantic annotations",

abstract = "Web search engines are optimized for early precision, which makes it difficult to perform recall oriented tasks with them. In this article, we propose several ways to leverage semantic annotations and, thereby, increase the efficiency of recall oriented search tasks, with a focus on forensic investigation. Semantic annotations, such as temporal annotations, named entities, and domain context, can be used to rerank, and cluster search result sets. In addition, domain context can be used to improve recall.",

keywords = "EWI-23910, HMI-SLT: Speech and Language Technology, Clustering, Information search and retrieval, IR-88335, Named Entity Recognition, Recall Oriented Search, METIS-300126, Domain Context",

author = "Rianne Kaptein and {van den Broek}, Egon and Gijs Koot and {Huis in 't Veld}, {Mirjam A.A.}",

note = "10.1145/2513204.2513219 ; Sixth International Workshop on Exploiting Semantic Annotations in Information Retrieval (ESAIR'13), San Francisco, CA, USA ; Conference date: 28-10-2013",

year = "2013",

month = oct,

day = "28",

doi = "10.1145/2513204.2513219",

language = "Undefined",

isbn = "978-1-4503-2413-7",

publisher = "Association for Computing Machinery",

pages = "45--48",

editor = "P.N. Bennett and E. Gabrilovich and J. Kamps and J. Karlgren",

booktitle = "Proceedings of the Sixth International Workshop on Exploiting Semantic Annotations in Information Retrieval (ESAIR'13)",

address = "United States",

}

Kaptein, R, van den Broek, E, Koot, G & Huis in 't Veld, MAA 2013, Recall oriented search on the web using semantic annotations. in PN Bennett, E Gabrilovich, J Kamps & J Karlgren (eds), Proceedings of the Sixth International Workshop on Exploiting Semantic Annotations in Information Retrieval (ESAIR'13). Association for Computing Machinery, New York, pp. 45-48, Sixth International Workshop on Exploiting Semantic Annotations in Information Retrieval (ESAIR'13), San Francisco, CA, USA, New York, 28/10/13. https://doi.org/10.1145/2513204.2513219

Recall oriented search on the web using semantic annotations. / Kaptein, Rianne; van den Broek, Egon; Koot, Gijs et al.
Proceedings of the Sixth International Workshop on Exploiting Semantic Annotations in Information Retrieval (ESAIR'13). ed. / P.N. Bennett; E. Gabrilovich; J. Kamps; J. Karlgren. New York: Association for Computing Machinery, 2013. p. 45-48.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Recall oriented search on the web using semantic annotations

AU - Kaptein, Rianne

AU - van den Broek, Egon

AU - Koot, Gijs

AU - Huis in 't Veld, Mirjam A.A.

N1 - 10.1145/2513204.2513219

PY - 2013/10/28

Y1 - 2013/10/28

N2 - Web search engines are optimized for early precision, which makes it difficult to perform recall oriented tasks with them. In this article, we propose several ways to leverage semantic annotations and, thereby, increase the efficiency of recall oriented search tasks, with a focus on forensic investigation. Semantic annotations, such as temporal annotations, named entities, and domain context, can be used to rerank, and cluster search result sets. In addition, domain context can be used to improve recall.

AB - Web search engines are optimized for early precision, which makes it difficult to perform recall oriented tasks with them. In this article, we propose several ways to leverage semantic annotations and, thereby, increase the efficiency of recall oriented search tasks, with a focus on forensic investigation. Semantic annotations, such as temporal annotations, named entities, and domain context, can be used to rerank, and cluster search result sets. In addition, domain context can be used to improve recall.

KW - EWI-23910

KW - HMI-SLT: Speech and Language Technology

KW - Clustering

KW - Information search and retrieval

KW - IR-88335

KW - Named Entity Recognition

KW - Recall Oriented Search

KW - METIS-300126

KW - Domain Context

U2 - 10.1145/2513204.2513219

DO - 10.1145/2513204.2513219

M3 - Conference contribution

SN - 978-1-4503-2413-7

SP - 45

EP - 48

BT - Proceedings of the Sixth International Workshop on Exploiting Semantic Annotations in Information Retrieval (ESAIR'13)

A2 - Bennett, P.N.

A2 - Gabrilovich, E.

A2 - Kamps, J.

A2 - Karlgren, J.

PB - Association for Computing Machinery

CY - New York

T2 - Sixth International Workshop on Exploiting Semantic Annotations in Information Retrieval (ESAIR'13), San Francisco, CA, USA

Y2 - 28 October 2013

ER -

Kaptein R, van den Broek E, Koot G, Huis in 't Veld MAA. Recall oriented search on the web using semantic annotations. In Bennett PN, Gabrilovich E, Kamps J, Karlgren J, editors, Proceedings of the Sixth International Workshop on Exploiting Semantic Annotations in Information Retrieval (ESAIR'13). New York: Association for Computing Machinery. 2013. p. 45-48 doi: 10.1145/2513204.2513219