In the era of ‘big data’ software systems are commonly dealing with large amounts of complex data which may be generated by a diverse range of sources. Conventional relational databases require specifying the structure of the data up-front, and the complexity of the database design rapidly increases with the complexity of the relationships between concepts in the data. Alternatively, a graph database can come closer to modeling the real-life relationships between data and represent data in a structure that more closely models real world relationships between concepts. Profium Sense, a NoSQL in-memory graph database and Rule Engine, processes real-time flows of data, and offers rule-based inferencing and Semantic AI for real time content distribution.

“I have seen approaches such as deductive databases where the graph can be modelled as a logic program using binary relationships, I’ve seen topic map implementations, I’ve seen proprietary implementations and I’ve guided myself a semantic web based graph database implementation at Profium.”

Rule-based systems such as Profium Sense get their rules from users who understand a business domain well enough to put some of the human intelligence in form that is understood by computers. Sometimes these rules come from years of experience and allow a business to excel against competition. Sometimes these rules come from the business environment in the […]