Nowadays, increasing amount of human knowledge is placed in computerized repositories such as the World Wide Web. This gives rise to the problem of how to locate specific pieces of information in these often quite unstructured repositories. Search engines is the best solved. Some studied show that, almost half of the traffic to the blog server comes from search engines. The more outgoing and in...

Collaborative learning is well suited to online learning environments built around threaded discussion. Research frameworks have developed around these practices providing methodological guidance for examining learning as a collective endeavor within the boundaries of a course. These frameworks may not adequately represent the individual as an active agent within these socially-constructed envi...

This paper presents fuzzy clustering algorithms to establish a grassroots ontology – a machine-generated weak ontology – based on folksonomies. Furthermore, it describes a search engine for vaguely associated terms and aggregates them into several meaningful cluster categories, based on the introduced weak grassroots ontology. A potential application of this ontology, weblog extraction, is illu...

The term knowledge work has been used for decades, but to date there is not much understanding what knowledge workers do and how this work can be improved. This paper contributes to the development of our theoretical understanding of knowledge work by exploring use of weblogs for professional purposes: as personal knowledge repositories, learning journals or networking instruments. We draw on t...

Event tracking is the task of discovering temporal patterns of events from text streams. Existing approaches for event tracking have two limitations: scalability and their inability to rule out non-relevant portions within texts in the stream ‘relevant’ to the event of interest. In this study, we propose a novel approach to tackle these limitations. To demonstrate our approach, we track news ev...

Weblog systems, mobile phone companies or GPS devices collect large amounts of personalized data including temporal, positional and textual information. Patterns extracted from such data can give insight in the behavior and mood of people. These patterns are often imprecise due to sparseness in the data. We propose an interpolation technique that augments local patterns with elements that seem ...