Search refinement: visualizing research journals in semantic space

Glen Newton (Carleton University)

CSIRO ICT

DATE: 2010-07-23
TIME: 14:00:00 - 15:00:00
LOCATION: S206, CSIRO, Bld 108, DCS Blding
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ABSTRACT:
We examine the scalability and validity of semantically mapping (visualizing) journals in a large scale (5.7+ million) science, technology and medical article digital library. This work is part of a larger research effort to evaluate semantic journal and article mapping for search query results refinement and visual contextualization in a large scale digital library.

In this work the Semantic Vectors software package is parallelized and evaluated to create semantic distances between 2365 journals, from the sum of their full-text. This is used to create a journal semantic map whose production does scale and whose results are comparable to other maps of the scientific literature.
BIO:
Glen Newton is a graduate student at Carleton University, Ottawa, Canada. From 1998 - 2010 he was at the National Research Council Canada, where he was a software group leader, a research scientist, and a research group leader. His research interests at the NRC and at Carleton are in the area of knowledge extraction from the research literature, through text mining, augmented search and visualization.

His interests include text mining, information retrieval, Semantic Web, digital libraries, scientific data issues, geographic information system (GIS), and software standards. He is a committee member of ISO JTC1/SC38 (Distributed computing) and the Canadian National Committee for CODATA. From 2001 to 2010 he was the NRC W3C advisory committee representative.

Previous to working at the NRC, Glen worked at the National Atlas of Canada, Natural Resources Canada, in the area of GIS R&D and is the author of NAISMap, an early (1994) online mapping tool.