In a previous essay, I wrote about the cognitive aspect of tagging - describing how people tag, and why they find it easy. There is another, equally important aspect of tagging that I did not touch upon - the "why" of tagging. Why do people tag? For many,
Using RhNav - Rhizome Navigation I wrote a data aggregator for Technorati's API. The first result is a video which visualizes blog domains by analysing Technorati's Cosmos (the blogs which link to a particular URL). The video is a screencast of RhNav fetc
Bebo is the next generation social networking site where members can stay in touch with their College friends, connect with friends, share photos, discover new interests and just hang out.
Sampling, Mashing, Sharing This is a community music site featuring remixes licensed under Creative Commons, where you can listen to, sample, mash-up, or interact with music in whatever way you want.
Web spam pages use various techniques to achieve
higher-than-deserved rankings in a search engine’s
results. While human experts can identify
spam, it is too expensive to manually evaluate a
large number of pages. Instead, we propose techniques
to semi-automatically separate reputable,
good pages from spam. We first select a small set
of seed pages to be evaluated by an expert. Once
we manually identify the reputable seed pages, we
use the link structure of the web to discover other
pages that are likely to be good. In this paper
we discuss possible ways to implement the seed
selection and the discovery of good pages. We
present results of experiments run on the World
Wide Web indexed by AltaVista and evaluate the
performance of our techniques. Our results show
that we can effectively filter out spam from a significant
fraction of the web, based on a good seed
set of less than 200 sites.
L. Ollinger, D. Zühlke, A. Theorin, und C. Johnsson. Proceedings of the 18th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2013), Cagliari, Italy, (2013)
B. Yu, und M. Singh. Cooperative Information Agents IV - The Future of Information Agents in Cyberspace, Volume 1860 von Lecture Notes in Computer Science, Springer, Berlin/Heidelberg, (2000)
A. Castellani, N. Bui, P. Casari, M. Rossi, Z. Shelby, und M. Zorzi. PerCom 2010 Workshops: Proceedings of the 8th Annual IEEE International Conference on Pervasive Computing and Communications Workshops, Mannheim, Germany, Seite 678-683. (2010)
B. Berendt, A. Hotho, und G. Stumme. Web Semantics: Science, Services and Agents on the World Wide Web, 8 (2-3):
95 - 96(2010)Bridging the Gap--Data Mining and Social Network Analysis for Integrating Semantic Web and Web 2.0; The Future of Knowledge Dissemination: The Elsevier Grand Challenge for the Life Sciences.
B. Berendt, A. Hotho, und G. Stumme. Web Semantics: Science, Services and Agents on the World Wide Web, 8 (2-3):
95 - 96(2010)Bridging the Gap--Data Mining and Social Network Analysis for Integrating Semantic Web and Web 2.0; The Future of Knowledge Dissemination: The Elsevier Grand Challenge for the Life Sciences.