The Power of Deep Reasoning with Large Graph Data
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  Benjamin Grosof   Benjamin Grosof
Coherent Knowledge
  Janine Bloomfield   Janine Bloomfield
Director of Marketing and Operations
Coherent Knowledge Systems


Tuesday, August 18, 2015
02:00 PM - 02:45 PM

Level:  Technical - Intermediate

Many large enterprises have invested in graph or linked data, or even full-blown ontologies, because their more flexible schemas augment and extend existing relational databases and other more traditional data stores.

In this session we discuss how deep reasoning provides several critical capabilities, each required to realize business value that leverages these data investments:

  • more complex analytics
  • context and mappings for data and system integration
  • representing more complex knowledge such as policies, regulations, and science
  • capturing subject matter experts' (SMEs) insights directly as data itself, with clean standard semantics (rather than buried in conventional program code that is hard to understand and reuse).

We illustrate with examples from financial services policy automation, national intelligence analysis, e-commerce marketing, and other areas. We discuss recent optimization techniques for scaling up the variety, volume, and velocity of Rulelog semantic rules in combination with graph databases, including bulk data import, dependency-aware updating of large stores of inferred data, and natural language templates for rule authoring by SMEs.

Benjamin Grosof is CTO, CEO, and co-founder of Coherent Knowledge, a software-centric startup that is commercializing a major research breakthrough in logic-based artificial intelligence combined with natural language processing. He is an industry leader in the theory and practice of how to reason with and acquire logical knowledge. He has pioneered semantic technology and industry standards for rules combined with ontologies, their acquisition from natural language, and their applications in finance, e-commerce, policies, e-learning, life science, defense intelligence analysis, legal regulations, and security/privacy. He co-founded RuleML and had driving roles in W3C RIF and OWL-RL. Previously he was senior research program manager in advanced AI for Paul G. Allen, MIT Sloan professor and IBM Research scientist. His background includes a part-time expert consulting practice, Harvard BA, Stanford PhD, 60+ refereed publications, three patents, and five major industry software products.

Dr. Janine Bloomfield is lead knowledge engineer, director of marketing, and co-founder at Coherent Knowledge Systems. Her experience and passion lies especially in education and in communicating technical concepts and materials to less-technical audiences. Previously she was a senior scientist, on global climate change, at Environmental Defense Fund, an influential USA environmental non-profit. There she did science communications, including: national media; state and federal policy advising; and science curriculum development. Her background includes a Stanford MS in biology and a Yale PhD in ecosystem ecology.

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