In this thesis we propose the use of an adaptive interactive interface to allow user exploration of the context of an intranet query. The underlying domain model is that of a Formal Concept Analysis (FCA) lattice. Understanding the difficulty of achieving optimum document descriptors, essential for a browsable lattice, we propose harnessing implicit user feedback in learning document/term associations. We utilise a task-based methodology to evaluate subjects' perception of the usefulness of our interactive interface and that of one adapted through usage data. Results validated the usefulness of an interactive lattice and our adaptation methodology. As an intermediate method of evaluating the usefulness of a lattice structure, we performed a series of technical evaluations in different do- mains to evaluate the query suggestions provided by the lattice structure. The results of these evaluations were very positive. To this end also, we utilised TREC Session Track datasets - a search challenge match- ing very closely the information sources employed in our methodology. The results achieved validate the usefulness of the FCA approach in a close-to-real setting in a Web environment. In summation, our research validates the usefulness of log adaptation as a means of overcoming the challenge of creating a query-based FCA document lattice