  Online scientific publications provide vast opportunities for researchers.
Alas, the quantity and the rate of increase in the articles make the
utilization of these resources very challenging. This work presents as
inquiry-based approach to support the articulation of complex inter-related
queries to gain insights regarding how these subjects have been studied in
conjunction with one another as reported in the scientific literature. For this
purpose we introduce inquiries that represent inter-related subqueries that are
of interest to a researcher. The inquiries are expanded to better capture the
intent of the inquirer, from which several queries are generated that represent
various juxtapositions of the subjects in consideration. The sets of queries
are used to search repositories to yield results that reveal quantitative and
temporal relations among the subjects of the inquiry. A web-based tool,
NeuroBoun, is developed as a proof of concept for medical publications found in
PubMed. A use case related to the asymmetry of amygdala is presented to
illustrate the potentials of the proposed approach.
