| Oscar Díaz|
(Alternative names for this author)
|Co-authors||Cristóbal Arellano, Gorka Puente|
|Authorship||Publications (2), datasets (0), tools (2)|
|Citations||Total (0), average (0), median (0), max (0), min (0)|
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PublicationsOnly those publications related to wikis are shown here.
|Title||Keyword(s)||Published in||Language||DateThis property is a special property in this wiki.||Abstract||R||C|
|Wikipedia Customization through Web Augmentation Techniques||Web Augmentation
|WikiSym||English||August 2012||Wikipedia is a successful example of collaborative knowledge construction. This can be synergistically complemented with personal knowledge construction whereby individuals are supported in their sharing, experimenting and building of information in a more private setting, without the scrutiny of the whole community. Ideally, both approaches should be seamlessly integrated so that wikipedians can easily transit from the public sphere to the private sphere, and vice versa. To this end, we introduce WikiLayer, a plugin for Wikipedia that permits wikipedians locally supplement Wikipedia articles with their own content (i.e. a layer). Layering additional content is achieved locally by seamlessly interspersing Wikipedia content with custom content. WikiLayer is driven by three main wiki principles: affordability (i.e., if you know how to edit articles, you know how to layer), organic growth (i.e., layers evolve in synchrony with the underlying articles) and shareability (i.e., layers can be shared in confidence through the wikipedian’s social network, e.g., Facebook ). The paper provides motivating scenarios for readers, contributors and editors. WikiLayer is available for download at http://webaugmentation.org/wikilayer.xpi.||0||0|
|Model-aware Wiki Analysis Tools: the Case of HistoryFlow||WikiSym||English||2010||Wikis are becoming mainstream. Studies confirm how wikis are finding their way into organizations. This paper focuses on requirements for analysis tools for corporate wikis. Corporate wikis differ from their grow-up counterparts such as Wikipedia. First, they tend to be much smaller. Second, they require analysis to be customized for their own domains. So far, most analysis tools focus on large wikis where handling efficiently large bulks of data is paramount. This tends to make analysis tools access directly the wiki database. This binds the tool to the wiki engine, hence, jeopardizing customizability and interoperability. However, corporate wikis are not so big while customizability is a desirable feature. This change in requirements advocates for analysis tools to be decoupled from the underlying wiki engines. Our approach argues for characterizing analysis tools in terms of their abstract analysis model (e.g. a graph model, a contributor model). How this analysis model is then map into wiki-implementation terms is left to the wiki administrator. The administrator, as the domain expert, can better assess which is the right terms/granularity to conduct the analysis. This accounts for suitability and interoperability gains. The approach is borne out for HistoryFlow, an IBM tool for visualizing evolving wiki pages and the interactions of multiple wiki authors.||8||0|