Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao IEEE Softwarearrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
IEEE Software
Article . 2008 . Peer-reviewed
License: IEEE Copyright
Data sources: Crossref
DBLP
Article . 2008
Data sources: DBLP
versions View all 2 versions
addClaim

Semantic Wikis

Authors: Sebastian Schaffert; François Bry; Joachim Baumeister; Malte Kiesel;

Semantic Wikis

Abstract

Lean knowledge management is today implemented mostly through wikis, which let users enter text and other data, such as files, and connect the content through hyperlinks. Easy setup and a huge variety of editing support are primary reasons for wiki use in all types of intranet- and Internet-based information sharing (see P. Louridas, "Using Wikis in Software Development," IEEE Software, Mar. 2006, pp. 88- 91). The drawbacks show up when you need to structure data as opposed to just edit text. Many wikis have tons of useful content, but the volume and lack of structure make it inaccessible over time. This is where semantic wikis enter the picture. Sebastian Schaffert and his colleagues describe them here and explain how to model wiki knowledge and content for improved usability. I look forward to hearing from both readers and prospective authors about this column and the technologies you want to know more about.

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    52
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
52
Average
Top 10%
Top 10%
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!