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Showing posts with the label knowledge discovery

Project Torngat: Building Large-Scale Semantic 'Maps of Science' with LuSql, Lucene, Semantic Vectors, R and Processing from Full-Text

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Project Torngat is a research project here at NRC - CISTI   [ Note that I am no longer at CISTI and that I am now continuing this work at Carleton University - GN 2010 04 07 ] that looks to use the full-text of journal articles to construct semantic journal maps for use in -- among other things -- projecting article search results onto the map to visualize the results and support interactive exploration and discovery of related articles, term and journals. Starting with 5.7 million full-text articles from 2200+ journals (mostly science, technology and medical (STM)), and using LuSql , Lucene , Semantic Vectors , R , and processing , a two dimensional mapping of a 512 dimension semantic space was created which revealed an excellent correspondence with the 23 human-created journal categories: Semantic Journal Space of 2231 Journals Scaled to Two Dimensions This initial work was initiated to find a technique that would scale, and follow-up work is looking at integrati...

Semantic Web and Science Knowledge Integration

The January 2009 issue of IEEE Intelligent Systems is a special issue on the Semantic Web and science knowledge integration: The Emerging Field of Semantic Scientific Knowledge Integration . McGuinness, Deborah L.; Fox, Peter; Brodaric, Boyan; Kendall, Elisa Ontology Design for Scientific Theories That Make Probabilistic Predictions . Poole, D.; Smyth, C.; Sharma, R. Semantic Support for Quantitative Research Processes . Rijgersberg, H.; Top, J.; Meinders, M. MatSeek: An Ontology-Based Federated Search Interface for Materials Scientists . Cheung, Kwok; Hunter, Jane; Drennan, John Annotation and Image Markup: Accessing and Interoperating with the Semantic Content in Medical Imaging . Rubin, Daniel L.; Mongkolwat, Pattanasak; Kleper, Vladimir; Supekar, Kaustubh; Channin, David S. Enabling Cross-Disciplinary E-Science by Integrating Geoscience Ontologies with Dolce . Brodaric, B.; Probst, F.

Web (marketing) controlled experiments == No informed consent?

Kohavi et al [ 1 ] is an extremely useful survey and guide to controlled experiments on/using the web, told primarily from a marketing perspective. It introduces and describes various experimental methods, examines the technical and organization challenges of running controlled experiments, and delves into various issues of experimental design. It is - for the most part - an excellent resource for anyone wanting to do these kinds of web-based controlled experiments. While I know this article is marketing-oriented, it is clear that some of the results from these experiments will be/have been published in peer-reviewed journals. Yet the authors make no mention of informed consent - even as an aside - in the entire article (and no mention of privacy or privacy issues either). Some of the experiments described or cited are not too different from those that might be done in social sciences or IT user interface research, where researchers are usually required to go through an ethics review...