Contrary to a Wiki where the opinion of the individual user disappears in favor of a more impartial ‘collective intelligence’, a weblog is author-centered, expressing the author’s subjective point of view. This particular property of weblogs played a fundamental role for the popularity weblogs gained for making implicit knowledge explicit in an unsolicited, selforganized way. However, empirical...

Weblogs are important new components of the Internet. They provide individual users with an easy way to publish online and others to comment on these views. Furthermore, there is a suite of secondary applications that allow weblogs to be linked, searched, and navigated. Although originally intended for individual use, in practice weblogs increasingly appear to facilitate distributed conversatio...

s – C02 13.41% ± 0.26 15.89% ± 0.26 13.89% ± 0.32 10.03% ± 0.27 8.64% ± 0.28 5.28% ± 0.31 6.99% ± 0.26 7.09% ± 0.32 18.78% Short news –R8 17.71% ± 0.04 14.89% ± 0.01 17.22% ± 0.02 13.56% ± 0.02 8.52% ± 0.02 7.33% ± 0.01 7.04% ± 0.01 5.31% ± 0.01 8.42% Weblogs – WbN 19.98% ± 0.05 18.20% ± 0.03 18.69% ± 0.02 16.84% ± 0.02 8.25% ± 0.01 6.23% ± 0.01 5.01% ± 0.01 3.16% ± 0.01 3.64% Weblogs – WbW 18....

The aim of this paper was to evaluate students’ views toward the usage weblogs for educational purposes in Ondo state tertiary institutions. Three research questions were designed guide study. population consisted all undergraduates three selected institutions state. sample study 358 respondents who using convenience and purposive sampling techniques. A self-structured questionnaire used collec...

Weblogs are one of fundamental components of Web 2.0 and there are a lot of unskilled bloggers and visitors who have difficulties in finding relevant blogs. Recommender systems are a solution to the information overload problems. In this paper a weblog recommender system based on link structure of weblog graph is introduced. Here we treat links between weblogs as some kind of rating, meaning th...

In this paper, we present an approach to extracting topics from weblogs by using terms that appear in them. We model a term in terms of frequency segments, i.e., sequential occurrences of the term over time, as the unit of characterization. A notable feature of the model is its approximation of changes in the dynamics of term frequencies; it captures the granularity of frequencies from the very...

Over the past few years, weblogs have emerged as a new communication and publication medium on the Internet. In this paper, we describe the application of data mining, information extraction and NLP algorithms for discovering trends across our subset of approximately 100,000 weblogs. We publish daily lists of key persons, key phrases, and key paragraphs to a public web site, BlogPulse.com. In a...