Semantic Coloring of Academic References: data models, converters and infrastructure
The basic idea of this research is to investigate models and tools to enrich bibliographies and citation networks by characterizing citations along multiple dimensions. Each bibliographic reference is treated as an individual, first-class entity, which can be accessed, filtered and grouped with other references according to a number of different criteria. The name of the project - Semantic Coloring of Academic References - reflects the fact that a bibliography should not considered as a plain list, but as a list of explicitly qualified references that need to be identified and shown appropriately, e.g. by means of different colors. Multiple 'coloring schemes' can be applied to the same bibliography according to different criteria (e.g., as mentioned: by publication data of the references, by authorship and/or affiliation data, by justification for citing, by sentiment, and so on). These coloring schemes overlap and can each be exploited to help users to better explore bibliographies.
This job comes from a partnership with Science Magazine and