The TSRM approach in the document retrieval application

Efthymios Drymonas; Kalliopi Zervanou; Euripides G.M. Petrakis

doi:10.1007/978-3-540-69858-6_35

The TSRM approach in the document retrieval application

Efthymios Drymonas^*, Kalliopi Zervanou, Euripides G.M. Petrakis

^*Corresponding author for this work

Technical University of Crete

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

Abstract

We propose TSRM, an alternative document retrieval model relying on multi-word, rather than mere single key-word domain terms, typically applied in traditional IR.

Original language	English
Title of host publication	Natural Language and Information Systems - 13th International Conference on Applications of Natural Language to Information Systems, NLDB 2008, Proceedings
Pages	333-334
Number of pages	2
DOIs	https://doi.org/10.1007/978-3-540-69858-6_35
Publication status	Published - 2008
Event	13th International Conference on Natural Language and Information Systems, NLDB 2008 - London, United Kingdom Duration: 24 Jun 2008 → 27 Jun 2008

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	5039 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	13th International Conference on Natural Language and Information Systems, NLDB 2008
Country/Territory	United Kingdom
City	London
Period	24/06/08 → 27/06/08

Keywords

Information retrieval
Term extraction
Term similarity

Access to Document

10.1007/978-3-540-69858-6_35

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Drymonas, E., Zervanou, K., & Petrakis, E. G. M. (2008). The TSRM approach in the document retrieval application. In Natural Language and Information Systems - 13th International Conference on Applications of Natural Language to Information Systems, NLDB 2008, Proceedings (pp. 333-334). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5039 LNCS). https://doi.org/10.1007/978-3-540-69858-6_35

Drymonas, Efthymios ; Zervanou, Kalliopi ; Petrakis, Euripides G.M. / The TSRM approach in the document retrieval application. Natural Language and Information Systems - 13th International Conference on Applications of Natural Language to Information Systems, NLDB 2008, Proceedings. 2008. pp. 333-334 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{502a4428e3854cd9b8ca5cc88c259306,

title = "The TSRM approach in the document retrieval application",

abstract = "We propose TSRM, an alternative document retrieval model relying on multi-word, rather than mere single key-word domain terms, typically applied in traditional IR.",

keywords = "Information retrieval, Term extraction, Term similarity",

author = "Efthymios Drymonas and Kalliopi Zervanou and Petrakis, {Euripides G.M.}",

year = "2008",

doi = "10.1007/978-3-540-69858-6_35",

language = "English",

isbn = "3540698574",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

pages = "333--334",

booktitle = "Natural Language and Information Systems - 13th International Conference on Applications of Natural Language to Information Systems, NLDB 2008, Proceedings",

note = "13th International Conference on Natural Language and Information Systems, NLDB 2008 ; Conference date: 24-06-2008 Through 27-06-2008",

}

Drymonas, E, Zervanou, K & Petrakis, EGM 2008, The TSRM approach in the document retrieval application. in Natural Language and Information Systems - 13th International Conference on Applications of Natural Language to Information Systems, NLDB 2008, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5039 LNCS, pp. 333-334, 13th International Conference on Natural Language and Information Systems, NLDB 2008, London, United Kingdom, 24/06/08. https://doi.org/10.1007/978-3-540-69858-6_35

The TSRM approach in the document retrieval application. / Drymonas, Efthymios; Zervanou, Kalliopi; Petrakis, Euripides G.M.
Natural Language and Information Systems - 13th International Conference on Applications of Natural Language to Information Systems, NLDB 2008, Proceedings. 2008. p. 333-334 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5039 LNCS).

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

TY - GEN

T1 - The TSRM approach in the document retrieval application

AU - Drymonas, Efthymios

AU - Zervanou, Kalliopi

AU - Petrakis, Euripides G.M.

PY - 2008

Y1 - 2008

N2 - We propose TSRM, an alternative document retrieval model relying on multi-word, rather than mere single key-word domain terms, typically applied in traditional IR.

AB - We propose TSRM, an alternative document retrieval model relying on multi-word, rather than mere single key-word domain terms, typically applied in traditional IR.

KW - Information retrieval

KW - Term extraction

KW - Term similarity

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U2 - 10.1007/978-3-540-69858-6_35

DO - 10.1007/978-3-540-69858-6_35

M3 - Conference contribution

AN - SCOPUS:47749142119

SN - 3540698574

SN - 9783540698579

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 333

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BT - Natural Language and Information Systems - 13th International Conference on Applications of Natural Language to Information Systems, NLDB 2008, Proceedings

T2 - 13th International Conference on Natural Language and Information Systems, NLDB 2008

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Drymonas E, Zervanou K, Petrakis EGM. The TSRM approach in the document retrieval application. In Natural Language and Information Systems - 13th International Conference on Applications of Natural Language to Information Systems, NLDB 2008, Proceedings. 2008. p. 333-334. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-540-69858-6_35

The TSRM approach in the document retrieval application

Abstract

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Keywords

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