Combining Linguistic and knowledge-based engineering for information retrieval and information extraction

Paul E. van der Vet; Bas van Bakel

Combining Linguistic and knowledge-based engineering for information retrieval and information extraction

Paul E. van der Vet, Bas van Bakel

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

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Abstract

Controlled-term indexing (the method of choice for multimedia collections and still very popular for purely textual material), appears an expensive solution because it takes huge resources and manual indexing. It is not possible, however, to perform a well-founded asessment of various approaches to information retrieval. We discuss ways to improve controlled-term indexing and illustrate these by looking at the Condorcet project carried out at Twente by us and co-workers. We round off with a discussion that, we hope, will raise more questions than it answers.

Original language	English
Title of host publication	Language Technology in Multimedia Information Retrieval
Subtitle of host publication	Proceedings of the Fourteenth Twente Workshop on Language Technology (TWLT14)
Editors	Djoerd Hiemstra, Franciska de Jong, Klaus Netter
Place of Publication	Enschede
Publisher	University of Twente
Pages	59-69
Publication status	Published - 1 Feb 1998
Event	Twente Workshop on Language Technology, TWLT 14: Language Technology in Multimedia Information Retrieval - University of Twente, Enschede, Netherlands Duration: 7 Dec 1998 → 8 Dec 1998 Conference number: 14

Publication series

Name	Twente Workshop on Language Technology 14
Publisher	University of Twente
Number	14
ISSN (Print)	0929-0672

Workshop

Workshop	Twente Workshop on Language Technology, TWLT 14
Abbreviated title	TWLT
Country	Netherlands
City	Enschede
Period	7/12/98 → 8/12/98

Keywords

IR-60418
Language Technology
Knowledge based systems
METIS-119342
Information Retrieval
Multi-media
Information Extraction

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van der Vet, P. E., & van Bakel, B. (1998). Combining Linguistic and knowledge-based engineering for information retrieval and information extraction. In D. Hiemstra, F. de Jong, & K. Netter (Eds.), Language Technology in Multimedia Information Retrieval: Proceedings of the Fourteenth Twente Workshop on Language Technology (TWLT14) (pp. 59-69). (Twente Workshop on Language Technology 14; No. 14). University of Twente.

van der Vet, Paul E. ; van Bakel, Bas. / Combining Linguistic and knowledge-based engineering for information retrieval and information extraction. Language Technology in Multimedia Information Retrieval: Proceedings of the Fourteenth Twente Workshop on Language Technology (TWLT14). editor / Djoerd Hiemstra ; Franciska de Jong ; Klaus Netter. Enschede : University of Twente, 1998. pp. 59-69 (Twente Workshop on Language Technology 14; 14).

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title = "Combining Linguistic and knowledge-based engineering for information retrieval and information extraction",

abstract = "Controlled-term indexing (the method of choice for multimedia collections and still very popular for purely textual material), appears an expensive solution because it takes huge resources and manual indexing. It is not possible, however, to perform a well-founded asessment of various approaches to information retrieval. We discuss ways to improve controlled-term indexing and illustrate these by looking at the Condorcet project carried out at Twente by us and co-workers. We round off with a discussion that, we hope, will raise more questions than it answers.",

keywords = "IR-60418, Language Technology, Knowledge based systems, METIS-119342, Information Retrieval, Multi-media, Information Extraction",

author = "{van der Vet}, {Paul E.} and {van Bakel}, Bas",

year = "1998",

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series = "Twente Workshop on Language Technology 14",

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editor = "Djoerd Hiemstra and {de Jong}, Franciska and Klaus Netter",

booktitle = "Language Technology in Multimedia Information Retrieval",

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van der Vet, PE & van Bakel, B 1998, Combining Linguistic and knowledge-based engineering for information retrieval and information extraction. in D Hiemstra, F de Jong & K Netter (eds), Language Technology in Multimedia Information Retrieval: Proceedings of the Fourteenth Twente Workshop on Language Technology (TWLT14). Twente Workshop on Language Technology 14, no. 14, University of Twente, Enschede, pp. 59-69, Twente Workshop on Language Technology, TWLT 14, Enschede, Netherlands, 7/12/98.

Combining Linguistic and knowledge-based engineering for information retrieval and information extraction. / van der Vet, Paul E.; van Bakel, Bas.

Language Technology in Multimedia Information Retrieval: Proceedings of the Fourteenth Twente Workshop on Language Technology (TWLT14). ed. / Djoerd Hiemstra; Franciska de Jong; Klaus Netter. Enschede : University of Twente, 1998. p. 59-69 (Twente Workshop on Language Technology 14; No. 14).

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

TY - GEN

T1 - Combining Linguistic and knowledge-based engineering for information retrieval and information extraction

AU - van der Vet, Paul E.

AU - van Bakel, Bas

N1 - Conference code: 14

PY - 1998/2/1

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N2 - Controlled-term indexing (the method of choice for multimedia collections and still very popular for purely textual material), appears an expensive solution because it takes huge resources and manual indexing. It is not possible, however, to perform a well-founded asessment of various approaches to information retrieval. We discuss ways to improve controlled-term indexing and illustrate these by looking at the Condorcet project carried out at Twente by us and co-workers. We round off with a discussion that, we hope, will raise more questions than it answers.

AB - Controlled-term indexing (the method of choice for multimedia collections and still very popular for purely textual material), appears an expensive solution because it takes huge resources and manual indexing. It is not possible, however, to perform a well-founded asessment of various approaches to information retrieval. We discuss ways to improve controlled-term indexing and illustrate these by looking at the Condorcet project carried out at Twente by us and co-workers. We round off with a discussion that, we hope, will raise more questions than it answers.

KW - IR-60418

KW - Language Technology

KW - Knowledge based systems

KW - METIS-119342

KW - Information Retrieval

KW - Multi-media

KW - Information Extraction

M3 - Conference contribution

T3 - Twente Workshop on Language Technology 14

SP - 59

EP - 69

BT - Language Technology in Multimedia Information Retrieval

A2 - Hiemstra, Djoerd

A2 - de Jong, Franciska

A2 - Netter, Klaus

PB - University of Twente

CY - Enschede

T2 - Twente Workshop on Language Technology, TWLT 14

Y2 - 7 December 1998 through 8 December 1998

ER -

van der Vet PE, van Bakel B. Combining Linguistic and knowledge-based engineering for information retrieval and information extraction. In Hiemstra D, de Jong F, Netter K, editors, Language Technology in Multimedia Information Retrieval: Proceedings of the Fourteenth Twente Workshop on Language Technology (TWLT14). Enschede: University of Twente. 1998. p. 59-69. (Twente Workshop on Language Technology 14; 14).