A context-driven integrated framework for research on interactive IR

Peter Ingwersen

A context-driven integrated framework for research on interactive IR

Peter Ingwersen

Department of Communication

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Abstract

This paper discusses the Integrated Research Framework for Information Seeking and Retrieval (ISR) originating from (Ingwersen & Järvelin, 2005) by comparing it to the Laboratory Research Framework for IR and two nested models of contexts involved in ISR: that of Kekäläinen & Järvelin (2002), based on work task activities, and the model by Ingwersen (2007) focusing on contexts to information objects. In addition the relevance model by Cosijn (2004), also of nested nature, is discussed, leading forward to the nine dimensions of research variables, potentially influencing ISR processes and evaluation.

Original language	Chinese
Journal	Tushu Qingbao Zhishi
Volume	126
Issue number	6
Pages (from-to)	44-50
Number of pages	7
ISSN	1003-2797
Publication status	Published - 2008

Keywords

Research framework
Information retrieval
IR models
Work task situations
Relevance assessments
Research variables

Access to Document

A Context-driven Research Framework-PI - Chinese versionFinal published version, 211 KB

Cite this

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title = "A context-driven integrated framework for research on interactive IR",

abstract = "This paper discusses the Integrated Research Framework for Information Seeking and Retrieval (ISR) originating from (Ingwersen & J{\"a}rvelin, 2005) by comparing it to the Laboratory Research Framework for IR and two nested models of contexts involved in ISR: that of Kek{\"a}l{\"a}inen & J{\"a}rvelin (2002), based on work task activities, and the model by Ingwersen (2007) focusing on contexts to information objects. In addition the relevance model by Cosijn (2004), also of nested nature, is discussed, leading forward to the nine dimensions of research variables, potentially influencing ISR processes and evaluation.",

keywords = "Forskningsperspektiv, Informationss{\o}gning, IR modeller, Problemsituationer, Relevanskriterier, Testvariabler, Research framework, Information retrieval, IR models, Work task situations, Relevance assessments, Research variables",

author = "Peter Ingwersen",

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year = "2008",

language = "Kinesisk",

volume = "126",

pages = "44--50",

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AU - Ingwersen, Peter

N1 - Præsenteret som key note ved LIDA-konferencen 2008 i Dubrovnik, Kroatien.

PY - 2008

Y1 - 2008

N2 - This paper discusses the Integrated Research Framework for Information Seeking and Retrieval (ISR) originating from (Ingwersen & Järvelin, 2005) by comparing it to the Laboratory Research Framework for IR and two nested models of contexts involved in ISR: that of Kekäläinen & Järvelin (2002), based on work task activities, and the model by Ingwersen (2007) focusing on contexts to information objects. In addition the relevance model by Cosijn (2004), also of nested nature, is discussed, leading forward to the nine dimensions of research variables, potentially influencing ISR processes and evaluation.

AB - This paper discusses the Integrated Research Framework for Information Seeking and Retrieval (ISR) originating from (Ingwersen & Järvelin, 2005) by comparing it to the Laboratory Research Framework for IR and two nested models of contexts involved in ISR: that of Kekäläinen & Järvelin (2002), based on work task activities, and the model by Ingwersen (2007) focusing on contexts to information objects. In addition the relevance model by Cosijn (2004), also of nested nature, is discussed, leading forward to the nine dimensions of research variables, potentially influencing ISR processes and evaluation.

KW - Forskningsperspektiv

KW - Informationssøgning

KW - IR modeller

KW - Problemsituationer

KW - Relevanskriterier

KW - Testvariabler

KW - Research framework

KW - Information retrieval

KW - IR models

KW - Work task situations

KW - Relevance assessments

KW - Research variables

M3 - Tidsskriftartikel

SN - 1003-2797

VL - 126

SP - 44

EP - 50

JO - Documentation, Information and Knowledge

JF - Documentation, Information and Knowledge

IS - 6

ER -