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Semantically Mapping Science Project
Scientometrics is the field of Social Sciences that studies the evolution of scientific fields: how they grow, shrink, merge, appear or dissapear, if they are inward- or outward-looking, how they are clustered, if they have a high or low in- and outflux of people etc.
Typically, Scientometrics studies are done on the basis of bibliometric data: co-citation patterns, co-authoring pattersn, citation-impact studies, etc. The field has progressed rapidly since the widespread on-line availability of such bibliometric data (in the last 15 years or so). Such studies can now be done routinely.
However, publishing is only one of the many activities of scientists. They also do things like: review papers, have discussions, change jobs, interact with companies, organise and participate in events, are members of boards (conference, professional organisations), etc. With the advent of the Web, these other activities of scientists now also leave on-line traces that can be used for scientometrics purposes. The question is:
Can we use Semantic Web techniques to meaningfully detect, retrieve and manipulate such web-traces of activities of scientists in order to improve Scientometrics studies?
Current Wiki Topics
- ScienceBlogs - Connecting blogs on science to the scientific literature
- Triplification - page of links to tools for converting formats to RDF
- Vocabulary - terms and definitions for both science mapping and semantic web
- Tools - pages of links to tools (i.e. network analysis, mapping, data analysis)
- Links - various links to associated sites
Team
- Knowledge Representation and Reasoning Group
- Network Institute
- Julie Birkholtz
