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There has been a long history of research into the structure and evolution of mankind's scientific endeavor. However, recent progress in applying the tools of science to understand science itself has been unprecedented because only recently has there been access to high-volume and high-quality data sets of scientific output (e.g., publications, patents,(More)
Global maps of science can be used as a reference system to chart career trajectories, the location of emerging research frontiers, or the expertise profiles of institutes or nations. This paper details data preparation, analysis, and layout performed when designing and subsequently updating the UCSD map of science and classification system. The original(More)
  • Micah Linnemeier, Chintan Tank, Jennifer R S Coffey, Elisha Hardy, Nianli Ma, Vivo Ontology +4 others
  • 2010
This two-day conference will begin with workshops and tutorials for those new to VIVO, those implementing VIVO at their institutions, and those wishing to develop applications using VIVO. Keynote speakers will present regarding the Semantic Web, Linked Open Data and the role of VIVO in support of team science. Panelists will discuss adoption and(More)
The study of science at the individual scholar level requires the disambiguation of author names. The creation of author’s publication oeuvres involves matching the list of unique author names to names used in publication databases. Despite recent progress in the development of unique author identifiers, e.g., ORCID, VIVO, or DAI, author disambiguation(More)
This paper reports first results on the interplay of different levels of the science system. Specifically, we would like to understand if and how collaborations at the author (micro) level impact collaboration patterns among institutions (meso) and countries (macro). All 2,541 papers (articles, proceedings papers, and reviews) published in the international(More)
Graphical multiuser environments such as 3-D virtual worlds aim to recreate the communicative affordances of face-to-face discourse, based on the assumption that rich media are superior to text-only media for the purposes of most human interaction. However, little research has as yet sought to determine the extent to which face-to-face discourse strategies(More)
BACKGROUND We investigate the accuracy of different similarity approaches for clustering over two million biomedical documents. Clustering large sets of text documents is important for a variety of information needs and applications such as collection management and navigation, summary and analysis. The few comparisons of clustering results from different(More)
11.1 Introduction This chapter introduces Semantic Association Networks (SANs), a novel means of using semantic web technology to tag and interlink scientific datasets, services (e.g. and user information) to improve scholarly knowledge and expertise management. Among other ends, the proposed SANs • Facilitate new types of searches, e.g., the retrieval of(More)