Understanding disciplinary vocabularies using a full-text enabled domain-independent term extraction approach.

ABSTRACT: Publication metadata help deliver rich analyses of scholarly communication. However, research concepts and ideas are more effectively expressed through unstructured fields such as full texts. Thus, the goals of this paper are to employ a full-text enabled method to extract terms relevant to disciplinary vocabularies, and through them, to understand the relationships between disciplines. This paper uses an efficient, domain-independent term extraction method to extract disciplinary vocabularies from a large multidisciplinary corpus of PLoS ONE publications. It finds a power-law pattern in the frequency distributions of terms present in each discipline, indicating a semantic richness potentially sufficient for further study and advanced analysis. The salient relationships amongst these vocab

SUBMITTER: Yan E 

PROVIDER: S-EPMC5706669 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature