C-Merge: A tool for policy-based merging of resource classifications

Florian Matthes; Claudia Niederée; Ulrike Steffens

doi:10.1007/3-540-44796-2_30

C-Merge: A tool for policy-based merging of resource classifications

Florian Matthes, Claudia Niederée, Ulrike Steffens

Technische Universität Hamburg-Harburg

Research output: Contribution to journal › Article › peer-review

1 Scopus citations

Abstract

In this paper we present an interactive tool for policy-based merging of resource-classifying networks (RCNs). We motivate our approach by identifying several merge scenarios within organizations and discuss their individual requirements on RCN merge support. The qualitycontrolled merging of RCNs integrates the contributions from different authors, fostering synergies and the achievement of common goals. The C-Merge tool design is based on a generalized view of the merge process and a simple but flexible model of RCNs. The tool is policy-driven and supports a variable degree of automation. Powerful options for user interaction and expressive change visualization enable substantial user support as well as effective quality control for the merge process.

Original language	English
Pages (from-to)	352-365
Number of pages	14
Journal	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	2163
DOIs	https://doi.org/10.1007/3-540-44796-2_30
State	Published - 2001
Externally published	Yes

Keywords

CSCW
Categorization
Knowledge Management
Knowledge Visualization
Merging
Quality Control
Taxonomy

Access to Document

10.1007/3-540-44796-2_30

Cite this

@article{161adfe1261c408f8be432ca596b6e73,

title = "C-Merge: A tool for policy-based merging of resource classifications",

abstract = "In this paper we present an interactive tool for policy-based merging of resource-classifying networks (RCNs). We motivate our approach by identifying several merge scenarios within organizations and discuss their individual requirements on RCN merge support. The qualitycontrolled merging of RCNs integrates the contributions from different authors, fostering synergies and the achievement of common goals. The C-Merge tool design is based on a generalized view of the merge process and a simple but flexible model of RCNs. The tool is policy-driven and supports a variable degree of automation. Powerful options for user interaction and expressive change visualization enable substantial user support as well as effective quality control for the merge process.",

keywords = "CSCW, Categorization, Knowledge Management, Knowledge Visualization, Merging, Quality Control, Taxonomy",

author = "Florian Matthes and Claudia Nieder{\'e}e and Ulrike Steffens",

year = "2001",

doi = "10.1007/3-540-44796-2_30",

language = "English",

volume = "2163",

pages = "352--365",

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

issn = "0302-9743",

publisher = "Springer Science and Business Media Deutschland GmbH",

}

TY - JOUR

T1 - C-Merge

T2 - A tool for policy-based merging of resource classifications

AU - Matthes, Florian

AU - Niederée, Claudia

AU - Steffens, Ulrike

PY - 2001

Y1 - 2001

N2 - In this paper we present an interactive tool for policy-based merging of resource-classifying networks (RCNs). We motivate our approach by identifying several merge scenarios within organizations and discuss their individual requirements on RCN merge support. The qualitycontrolled merging of RCNs integrates the contributions from different authors, fostering synergies and the achievement of common goals. The C-Merge tool design is based on a generalized view of the merge process and a simple but flexible model of RCNs. The tool is policy-driven and supports a variable degree of automation. Powerful options for user interaction and expressive change visualization enable substantial user support as well as effective quality control for the merge process.

AB - In this paper we present an interactive tool for policy-based merging of resource-classifying networks (RCNs). We motivate our approach by identifying several merge scenarios within organizations and discuss their individual requirements on RCN merge support. The qualitycontrolled merging of RCNs integrates the contributions from different authors, fostering synergies and the achievement of common goals. The C-Merge tool design is based on a generalized view of the merge process and a simple but flexible model of RCNs. The tool is policy-driven and supports a variable degree of automation. Powerful options for user interaction and expressive change visualization enable substantial user support as well as effective quality control for the merge process.

KW - CSCW

KW - Categorization

KW - Knowledge Management

KW - Knowledge Visualization

KW - Merging

KW - Quality Control

KW - Taxonomy

UR - http://www.scopus.com/inward/record.url?scp=35248884797&partnerID=8YFLogxK

U2 - 10.1007/3-540-44796-2_30

DO - 10.1007/3-540-44796-2_30

M3 - Article

AN - SCOPUS:35248884797

SN - 0302-9743

VL - 2163

SP - 352

EP - 365

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

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

ER -

C-Merge: A tool for policy-based merging of resource classifications

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Cite this