DISSEMINATING KNOWLEDGE THROUGH TAGS: RECOMMENDING TAGS FOR SCIENTIFIC RESOURCES

Abstract

Knowledge diffusion has prime importance for generation of new knowledge. The creation of new knowledge is not possible without referring or consulting the past work. Two very important potential flows related to knowledge diffusion can be observed in the common practice of researchers. First, in scientific research knowledge diffusion estimation using citation counts is generally used to establish the value of knowledge which inflates citations. Second the researchers use cited work to search the connected and related resources. Recently the social and collaborative phenomena termed as Web 2.0 has spurred new era of knowledge and information flow on the web. Its potential for the growth and diffusion of scientific knowledge has not been well explored. The emerging social and collaborative applications, such as tagging and bookmarking, are transforming the ways scientists and researchers organize their personal and collaborative information spaces. These bookmarking and tagging applications provide open data and rich metadata resources such as tags. Past research shows that the bookmarking and tagging can be used as a supplementary indicator for measuring research popularity and knowledge diffusion. However the current work exploits author keywords of scientific publications to link these resources with relevant tags extracted from a social bookmarking application such as CiteULike. This work compares, for a focus resource, the tags extracted from CiteULike based on author keywords with their corresponding tag cloud of CiteULike. The result shows that system extends the authors keyword set with social tags providing links to rich and focused resources in CiteULike. This also enhances the serendipitous discovery of emerging concepts related to the focused resource. Such a system may enhance the discovery of related and popular resources for researchers. This dataset has been made available publicly for scientific community.