TY - GEN
T1 - A semantic spatial hypertext wiki
AU - Solís, Carlos
AU - Ali, Nour
PY - 2010/9/1
Y1 - 2010/9/1
N2 - Spatial Hypertext Wiki (ShyWiki) is a wiki which represents knowledge using notes that are spatially distributed in wiki pages and have some visual characteristics such as colour, size, or font type. Spatial and visual characteristics are important in a wiki to improve human comprehension, creation and organization of knowledge. Another important capability in wikis is to allow machines to process knowledge. Wikis that formally structure knowledge for this purpose are called semantic wikis. This paper describes the semantic wiki capabilities of ShyWiki. ShyWiki can represent knowledge at different levels of formality. Users of ShyWiki can annotate the content and represent semantic relations without being experts of semantic web data description languages. The spatial hypertext features make it suitable for users to represent unstructured knowledge and implicit graphic relations among concepts. In addition, semantic web and spatial hypertext features are combined to represent structured knowledge. The semantic web features of ShyWiki improve navigation and publish the wiki knowledge as RDF resources, including the implicit relations that are analyzed using a spatial parser.
AB - Spatial Hypertext Wiki (ShyWiki) is a wiki which represents knowledge using notes that are spatially distributed in wiki pages and have some visual characteristics such as colour, size, or font type. Spatial and visual characteristics are important in a wiki to improve human comprehension, creation and organization of knowledge. Another important capability in wikis is to allow machines to process knowledge. Wikis that formally structure knowledge for this purpose are called semantic wikis. This paper describes the semantic wiki capabilities of ShyWiki. ShyWiki can represent knowledge at different levels of formality. Users of ShyWiki can annotate the content and represent semantic relations without being experts of semantic web data description languages. The spatial hypertext features make it suitable for users to represent unstructured knowledge and implicit graphic relations among concepts. In addition, semantic web and spatial hypertext features are combined to represent structured knowledge. The semantic web features of ShyWiki improve navigation and publish the wiki knowledge as RDF resources, including the implicit relations that are analyzed using a spatial parser.
U2 - 10344/728
DO - 10344/728
M3 - Conference contribution with ISSN or ISBN
T3 - Journal of Universal Computer Science
SP - 94
EP - 104
BT - Proceedings of 10th international conference on knowledge management and knowledge technologies 2010
PB - Verlag der Technischen Universität Graz, Austria
CY - Messe Congress Graz, Austria
T2 - Proceedings of 10th international conference on knowledge management and knowledge technologies 2010
Y2 - 1 September 2010
ER -