A topic-based browser for large online resources

Heiner Stuckenschmidt; Anita De Waard; Ravinder Bhogal; Christiaan Fluit; Arjohn Kampman; Jan Van Buel; Erik Van Mulligen; Jeen Broekstra; Ian Crowlesmith; Prank Van Harmelen; Tony Scerri

doi:10.1007/978-3-540-30202-5_29

A topic-based browser for large online resources

Heiner Stuckenschmidt
, Anita De Waard
, Ravinder Bhogal
, Christiaan Fluit
, Arjohn Kampman
, Jan Van Buel
, Erik Van Mulligen
, Jeen Broekstra
, Ian Crowlesmith
, Prank Van Harmelen
, Tony Scerri

Research output: Contribution to journal › Conference article › peer-review

6 Scopus citations

Abstract

The exploration of large information spaces is a difficult task, especially if the user is not familiar with the terminology used to describe information. Conceptual models of a domain in terms of thesauri or ontologies can leverage this problem to some extend. In order to be useful, there is a need for interactive tools for exploring large information sets based on conceptual knowledge. We present a thesaurus based browser that supports a mixed-initiative exploration of large online resources that provides support for thesaurus-based search and topic-based exploration of query results. We motivate the chosen exploration strategy the browser functionality, present the results of user studies and discuss future improvements of the browser.

Original language	English
Pages (from-to)	433-448
Number of pages	16
Journal	Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)
Volume	3257
DOIs	https://doi.org/10.1007/978-3-540-30202-5_29
State	Published - 2004
Event	14th International Conference EKAW 2004: Engineering Knowledge in the Age of the Semantic Web - Whittlebury Hall, United Kingdom Duration: Oct 5 2004 → Oct 8 2004

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10.1007/978-3-540-30202-5_29

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Stuckenschmidt, H., De Waard, A., Bhogal, R., Fluit, C., Kampman, A., Van Buel, J., Van Mulligen, E., Broekstra, J., Crowlesmith, I., Van Harmelen, P., & Scerri, T. (2004). A topic-based browser for large online resources. Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), 3257, 433-448. https://doi.org/10.1007/978-3-540-30202-5_29

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abstract = "The exploration of large information spaces is a difficult task, especially if the user is not familiar with the terminology used to describe information. Conceptual models of a domain in terms of thesauri or ontologies can leverage this problem to some extend. In order to be useful, there is a need for interactive tools for exploring large information sets based on conceptual knowledge. We present a thesaurus based browser that supports a mixed-initiative exploration of large online resources that provides support for thesaurus-based search and topic-based exploration of query results. We motivate the chosen exploration strategy the browser functionality, present the results of user studies and discuss future improvements of the browser.",

author = "Heiner Stuckenschmidt and \{De Waard\}, Anita and Ravinder Bhogal and Christiaan Fluit and Arjohn Kampman and \{Van Buel\}, Jan and \{Van Mulligen\}, Erik and Jeen Broekstra and Ian Crowlesmith and \{Van Harmelen\}, Prank and Tony Scerri",

note = "Copyright: Copyright 2020 Elsevier B.V., All rights reserved.; 14th International Conference EKAW 2004: Engineering Knowledge in the Age of the Semantic Web ; Conference date: 05-10-2004 Through 08-10-2004",

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doi = "10.1007/978-3-540-30202-5\_29",

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Stuckenschmidt, H, De Waard, A, Bhogal, R, Fluit, C, Kampman, A, Van Buel, J, Van Mulligen, E, Broekstra, J, Crowlesmith, I, Van Harmelen, P & Scerri, T 2004, 'A topic-based browser for large online resources', Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), vol. 3257, pp. 433-448. https://doi.org/10.1007/978-3-540-30202-5_29

TY - JOUR

T1 - A topic-based browser for large online resources

AU - Stuckenschmidt, Heiner

AU - De Waard, Anita

AU - Bhogal, Ravinder

AU - Fluit, Christiaan

AU - Kampman, Arjohn

AU - Van Buel, Jan

AU - Van Mulligen, Erik

AU - Broekstra, Jeen

AU - Crowlesmith, Ian

AU - Van Harmelen, Prank

AU - Scerri, Tony

PY - 2004

Y1 - 2004

N2 - The exploration of large information spaces is a difficult task, especially if the user is not familiar with the terminology used to describe information. Conceptual models of a domain in terms of thesauri or ontologies can leverage this problem to some extend. In order to be useful, there is a need for interactive tools for exploring large information sets based on conceptual knowledge. We present a thesaurus based browser that supports a mixed-initiative exploration of large online resources that provides support for thesaurus-based search and topic-based exploration of query results. We motivate the chosen exploration strategy the browser functionality, present the results of user studies and discuss future improvements of the browser.

AB - The exploration of large information spaces is a difficult task, especially if the user is not familiar with the terminology used to describe information. Conceptual models of a domain in terms of thesauri or ontologies can leverage this problem to some extend. In order to be useful, there is a need for interactive tools for exploring large information sets based on conceptual knowledge. We present a thesaurus based browser that supports a mixed-initiative exploration of large online resources that provides support for thesaurus-based search and topic-based exploration of query results. We motivate the chosen exploration strategy the browser functionality, present the results of user studies and discuss future improvements of the browser.

UR - https://www.scopus.com/pages/publications/22944454185

U2 - 10.1007/978-3-540-30202-5_29

DO - 10.1007/978-3-540-30202-5_29

M3 - Artículo de la conferencia

AN - SCOPUS:22944454185

SN - 0302-9743

VL - 3257

SP - 433

EP - 448

JO - Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)

JF - Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)

T2 - 14th International Conference EKAW 2004: Engineering Knowledge in the Age of the Semantic Web

Y2 - 5 October 2004 through 8 October 2004

ER -

A topic-based browser for large online resources

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