The act of citation of others’ preceding work is a central social process in the practice of science, formalized in the reference lists that typically conclude journal articles. The advent of on-line publishing made references linkable, although some references in on-line papers may still lack direct hyperlinks to the cited articles. However, such references refer blandly to each cited article as a whole, with no indication as to the citation’s rhetorical purpose.
Shotton will demonstrate how semantic enhancements to the on-line article permit the nature or character of the citation to be typed, and the local and global number of citations that each cited article receives to be recorded as machine-readable metadata, as a proxy measure of its importance t the academic community.
Additionally, Shotton will describe methods for relating the context of a particular citation to specific content within the cited article. Finally, the speaker will describe how this citation information, central to the academic enterprise, can be published as Linked Open Data, benefiting publishers by increasing exposure of published papers to potential readers, and assisting scholars in knowledge discovery by facilitating the construction and interrogation of semantic citation networks. Shotton will conclude by discussing the importance of reciprocal citation links between journal articles and the research datasets that underpin them, and the credit that can accrue to researches when they publish datasets as citable information objects identified by DataCite DOIs.