Updated: 3/13/2009; 9:17:54 AM.
EduResources Weblog--Higher Education Resources Online
This weblog focuses on locating, evaluating, discussing, and providing guidelines to instructional resources for faculty and students in higher education. The emphasis is on free, shared, HE resources. Related topics and news (about commercial resources, K-12 resources, T&D resources, educational technology, digital libraries, distance learning, open source software, metadata standards, cognitive mapping, etc.) will also be discussed--along with occasional excursions into more distant miscellaneous topics in science, computing, and education. The EduResources Weblog operates in conjunction with a broader weblog called The Open Learner about using open knowledge resources across a diversity of subjects, levels, and interests for a wide range of learners and learning communities--students in schools and colleges, home schoolers, hobbyists, vocational learners, retirees, and others.
        

Tuesday, July 26, 2005

This fascinating interview with Katy Borner appears in the July 2005 issue of InfoVis; the interviewer is Juan Dursteler. (Links to many interesting maps are included in the article.) The importance of information displays grows as the amount of accessible information becomes greater. Anyone concerned about finding and using online instructional resources needs to be concerned about how information is organized and displayed in online repositories and portals because, if users can't locate the information, it does not exist for them. ___JH

"Domain maps of abstract semantic spaces aim to serve today’s explorers navigating and managing the world of science. These maps are generated through a scientific analysis of large-scale scholarly datasets in an effort to connect and make sense of the bits and pieces of knowledge they contain. They can be used to objectively identify major research areas, experts, institutions, collections, grants, papers, journals, ideas, etc. in a domain of interest."

"There is an increasing interest in the analysis and visualization of streaming data collected via sensors, instruments, etc. Many of the commonly used analysis and visualization algorithms are not applicable to incrementally growing, dynamic data sets. Sense making of very large scale datasets requires a tight coupling and fine tuning of database architectures and data analysis and visualization techniques. Information visualization researchers will have to work very closely with database design, data integration, and data mining experts."


8:04:45 AM    COMMENT []

© Copyright 2009 Joseph Hart.
 
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