Smart Data Plus Deep Reasoning Equals Business Value from Data Analysis


Coherent Knowledge would like businesses that want to make more effective use of the knowledge they capture and distribute to become more familiar with Rulelog. That is the logic underlying knowledge representation languages such as Vulcan’s Silk and the rule language used by its own Ergo Suite semantic rules and reasoning platform. Smart Data is no longer just a future dream for many enterprises; it’s now a reality with such systems.

In draft as an industry standard, the knowledge representation and reasoning logic generalizes and complements graph and relational database, semantic, and business rules technologies by enabling flexible representation and deep reasoning with highly complex domain knowledge. That includes policy, legal, health, and scientific knowledge that is often stated in natural language text, as well as information integration mappings. As a rule language, Coherent notes that Rulelog is easier to learn and author knowledge in, than other approaches are; and, is flexible enough to encode almost any kind of logical knowledge without requiring that one be a logician or a programmer to do so.

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During a presentation at the DATAVERSITY® Smart Data 2015 Conference, Coherent co-founder CEO and CTO Benjamin Grosof discussed the power of smart rules and deep reasoning with large graph data to unlock business value from data analysis. “Many enterprises and society in general has a knowledge management problem,” he said. There are plenty of technologies for handling the capture and dissemination of data, “but not so many for making effective use of it – analyzing it to make decisions, answering questions, doing monitoring and alerting and explaining.”

Humans need sophisticated automation of analysis that enables them to gain explanations and check findings, debug and trust query responses, as well as ask drill-down questions at enterprise speed and scale. Ergo supports that. But the capabilities are often unaccounted for by current tools that he says are inflexible and opaque when it comes to the questions that can be answered – not to mention shallow and too disconnected from actual decision making and lacking the means to leverage the expertise of humans who know information that’s not in the data and can be complex to say. Smart data rules with deep reasoning, however, can capture subject matter experts’ insights directly and semantically.

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Grosof co-founded Ergo as the latest step in a career that encompasses pioneering semantic technology and industry standards for rules combined with ontologies, their acquisition from natural language, and their applications in various sectors. He also co-founded RuleML, holds leading positions in W3C RIF and OWL-RL, and is a senior research program manager in advanced Artificial Intelligence at Vulcan, among other roles. The evolution of enterprise knowledge management that is based on “smart rules for smart data,” as Ergo’s tagline goes, follows this path:

According to Grosof’s presentation, companies Ergo has worked with in the financial, e-commerce, and defense sectors have realized as a result agility, flexibility and ease of authoring, and fast updating. They also have gained high accuracy and transparency; explanations and provenance; lower risk of non-compliance or confusion; and, more cost-effectiveness thanks to bringing subject matter experts more fully into the analytics loop.;

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