| |  | Ebner, Martin | E-Learning 2.0 = e-Learning 1.0 + Web 2.0? read moreAbstract: You" has been elected as person of the year by the Time Magazine, Web 2.0 is the most quoted article of Wikipedia in 2006 and e-Learning 2.0 is the buzzword of today. This article likes to point out what are the advantages and disadvantages of this hype. Is e-Learning 1.0 a thing of the past or still necessary for the learning future. The question whether Web 2.0 will change the education of tomorrow or not will be answered in a very critical way. The summary of this article pointed out that there is considerably more than using new applications and bring them together with the experiences of e-Learning 1.0. Due to the fact that the importance of e-Learning 2.0 is growing very fast it can be summarized that a lot of more research work must be done in future | 2007 |
| | | | Mining information for functional genomics read moreAbstract: Bernardi, Ratsch, Kania. Saric and Rojas discuss interdisciplinary work as the key to functional genomics. Park discusses network biology (data mining of biological networks). Schatz discusses the construction of analysis environments beyond the genome and the Web. Blaschke and Valencia discuss how molecular biology nomenclature is thwarting information extraction progress. Finally, Ne/spl acute/dellec discusses bibliographic information extraction in genomics | 2002 |
| | | Bollacker, K. D. | Discovering relevant scientific literature on the Web read moreAbstract: Scientific literature on the Web makes up a massive, noisy, disorganized database. Unlike large, single-source databases such as a corporate customer database, the Web database draws from many sources, each with its own organization. Also, owing to its diversity, most records in this database are irrelevant to an individual researcher. Furthermore, the database is constantly growing in content and changing in organization. All these characteristics make the Web a difficult domain for knowledge discovery. To quickly and easily gather useful knowledge from such a database, users need the help of an information filtering system that automatically extracts only relevant records as they appear in a stream of incoming records. To this end, we have developed the CiteSeer. CiteSeer is an automatic generator of digital libraries of scientific literature. It uses sophisticated acquisition, parsing, and presentation methods to eliminate most of the manual effort of finding useful publications on the Web | 2000 |
| | | Montebello, M. | Information overload-an IR problem? read moreAbstract: Information overload on the World Wide Web (WWW) is a well recognised problem. Research to subdue this problem and extract maximum benefit from the Internet is still in its infancy. With huge amounts of information connected to the Internet, efficient and effective discovery of resources and knowledge has become an imminent research issue. A vast array of network services is growing up around the Internet and a massive amount of information is added everyday. Despite the potential benefits of existing indexing, retrieving and searching techniques in assisting users in the browsing process, little has been done to ensure that the information presented is of a high recall and precision standard. Therefore, search for specific information on this massive and exploding information resource base becomes highly critical. The author discusses the issues involved in resolving the information overload over the WWW and argues that this is solely an information retrieval problem. As a contribution to the field he proposes a general architecture to subdue information overload and describes how this architecture has been instantiated in a functional system he developed | 1998 |
Add To Cart
Add To Report
Email
Export
1 