NHECD - Search engine
An indexed database of research and documentation, serving scientists and legislators, for the protection of our health and environment from the impact of toxic Nanoparticles.
With a growing body of knowledge in the field, searching for specific data is an overwhelming task. Embarking on an adventure in a subject foreign to me, I set out to define what UX structure would produce the most efficient search results. By interviewing researchers and legislators, I became familiar enough with physicochemical characterizations of nanomaterials, to understand how to group items, and divide them into logical hierarchies. With feedback from the scientists, I defined the correct methodologies for productive indexing and search query constructions.
Back in 2010, I worked with a dedicated team at TLV university, to plan the behavior of a unique resource, a database utilizing data-mining methods, algorithms, and taxonomies.
By using the physicochemical properties of nanomaterials, we devised an efficient grouping methodology for creating clear search queries.
Comprising of scientific papers, reviews, whitepapers, and surveys, the extensive database required a user-friendly indexing system.
Matching the indexing metatags with those used for seeking information, we exposed the user to the taxonomies providing an alternate search path.
The defined metatags allowed us to offer an advanced intelligent search results filter, refining the results to achieve a high level of accuracy.