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While a first implementation is being developed, iMapping is still in a conceptual stage. In this paper we describe the iMapping approach and how it tries to combine and extend the advantages of other approaches.  
 
While a first implementation is being developed, iMapping is still in a conceptual stage. In this paper we describe the iMapping approach and how it tries to combine and extend the advantages of other approaches.  
 
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Aktuelle Version vom 16. Oktober 2009, 22:59 Uhr


iMapping - a Graphical Approach to Semi-Structured Knowledge Modelling


iMapping - a Graphical Approach to Semi-Structured Knowledge Modelling



Published: 2006 November
Herausgeber: Lloyd Rutledge
Buchtitel: Proceedings of the The 3rd International Semantic Web User Interaction Workshop (SWUI2006)

Referierte Veröffentlichung
Note: Poster presented at the The 3rd International Semantic Web User Interaction Workshop.

BibTeX

Kurzfassung
iMapping is a technique for visually structuring information objects. It supports the full range from informal note taking over semi-structured personal information management to formal knowledge models. With iMaps, users can easily go from overview to fine-grained structures while browsing, editing or refining the knowledge base in one comprehensive view.

An iMap is comparable to a large white-board where information items can be positioned like post-its but also nested into each other. Spatial browsing and zooming as well as graphical editing facilities make it easy to structure content in an intuitive way. iMapping builds on a zooming user interface approach to facilitate navigation and to help users maintain an overview in the knowledge space. While a first implementation is being developed, iMapping is still in a conceptual stage. In this paper we describe the iMapping approach and how it tries to combine and extend the advantages of other approaches.

Download: Media:2006_1281_Haller_iMapping_-_a_Gr_1.pdf

Projekt

Nepomuk



Forschungsgruppe

Wissensmanagement


Forschungsgebiet

Wissensrepräsentation, Semantische Annotierung, Mensch-Maschine-Systeme, Hypermedia Systeme, Softwareergonomie, Web Science