| Popis: |
Introduction: The emergence of Semantic Web is impacting the scientific digital publications scenario. The growth of biomedical literature in digital format raises the question that new discoveries may originate not only from laboratories but from bibliographic and factual databases too. The textual linear format of scientific articles, for human reading, is not adequate to be processed by computers. Objective: To contextualize the research problem on semantic models of digital articles in biomedical sciences, identifying related areas and producing a review. Methodology: This research is descriptive and exploratory, with focus in the former research problem, trying to identify interfaces between the areas reviewed; the approach is qualitative and bibliographic and documental research methods were used. Results: A state-of-the-art and the main trends in each area reviewed – biomedical text mining and enhanced/semantic publications - are presented. Both areas are complementary although not integrated. Conclusions: We are in a transition from a publication model centered in the linear textual article towards a model in which a new format of digital article is just one of many links in a network of resources, simultaneously accessed and processed by programs, taking full advantage of Semantic Web technologies. |
