Methods and apparatus for real-time business visibility using persistent schema-less data storage
The invention provides methods for enterprise business visibility that transform any of marketing, e-commerce and transactional from a plurality of legacy and other databases into resource description framework (RDF) syntax. This information can be time-stamped (e.g., with expiration dates) and stored in a central data store. Answers to queries are discerned by applying genetic algorithm-based search techniques to the holographic store, with the confidence levels of those answers is based in part, for example, on the time-stamps of the triples.
1. A digital data processing method comprising
transforming any of marketing e-commerce and transactional data from a plurality of databases into resource description framework (RDF) triples, where at least two of the databases are of disparate variety, where each triple includes a subject, an object, and a predicate, and where each predicate comprises a uniform resource identification (URI) such that related data from the plurality of databases is represented by URI's in a hierarchical ordering,
storing the triples in a data store, and
storing expiry data with at least selected ones of the triples,
responding to a search performed against the data store, if data requested is not stored in the data store, by applying a query to one or more of the plurality of databases to obtain the requested data,
responding to such a search, if the data is stored in the data store and is associated with expiry information indicating that the requested data may have expired, by returning the requested data with a reduced confidence factor.
2. A digital data processing method according to claim 1 , comprising any of deleting and tagging as stale triples based on expiry data associated therewith.
3. A digital data processing method according to claim 1 , comprising
searching the triple for data responsive to a query,
returning such data along with a confidence factor.
4. A digital data processing method according to claim 3 , comprising generating the confidence factor based on expiry data associated with a triple.