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GI
2009
Springer
15 years 2 months ago
Deriving Taxonomies from Automatic Analysis of Group Membership Structure in Large Social Networks
: We develop a method to create taxonomies in large social networks solely based on users group membership information. We illustrate our technique using an example of the Flickr p...
Marc Egger, Kai Fischbach, Peter A. Gloor, Andre L...
FGCN
2008
IEEE
196views Communications» more  FGCN 2008»
15 years 4 months ago
SS-RBAC: Secure Query Processing Model for Semantic Sensor Networks
This paper proposes a novel secure query processing model for semantic sensor networks. A semantic sensor network (SSN) is a sensor network which includes semantics of sensory dat...
Dongwon Jeong, Hyejin Jeong, Young-Sik Jeong
CANDC
2009
ACM
15 years 4 months ago
Discovery is never by chance: designing for (un)serendipity
Serendipity has a long tradition in the history of science as having played a key role in many significant discoveries. Computer scientists, valuing the role of serendipity in dis...
Paul André, m. c. schraefel, Jaime Teevan, ...
KES
2004
Springer
15 years 3 months ago
Chance Discovery with Emergence of Future Scenarios
A "chance" is an event or a situation significant for making a decision in a complex environment. Since we organized a session of Chance Discovery in KES 2000, the basic...
Yukio Ohsawa
SEMWEB
2007
Springer
15 years 3 months ago
Analyzing Mapping Extraction Approaches
While lots of research in ontology matching is related to the issue of computing and refining similarity measures, only little attention has been paid to question how to extract t...
Christian Meilicke, Heiner Stuckenschmidt