Known as SBA, Search-based Applications employ semantic technologies to aggregate, normalize and classify unstructured, semi-structuredand/or structured content across multiple repositories, and employ natural language technologies for accessing the aggregated information.
To give you an idea, let us say restaurant directory that consolidates source data including database content (restaurant listings in the directory database), Web content (photos, details like opening hours, prices, menus, payment options, etc.), and user-generated content (opinions, ratings, reviews, blogs, etc., also gathered from the Web), with sentiment analysis applied on the aggregated content. It also incorporates geospatial data for mapping. The result is an ultra-rich directory that synthesizes a massive amount of information into a coherent, at-a-glance consumer dashboard.
Read more