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Posts under ‘Knowledge Management’

Affiliate Transactions covered by The Federal Reserve Act (Regulation W)

Benjamin Grosof, co-founder of Coherent Knowledge Systems, is also involved with developing a standard ontology for the financial services industry (i.e., FIBO).  In the course of working on FIBO, he is developing a demonstration of defeasible logic concerning Regulation W of the The Federal Reserve Act.  Regulation W specifies which transactions involving banks and their [...]

Knowledge acquisition using lexical and semantic ontology

In developing a compliance application based on the institutional review board policies of John Hopkins’ Dept. of Medicine, we have to clarify the following sentence: Projects involving drugs or medical devices other than the use of an approved drug or medical device in the course of medical practice and projects whose data will be submitted [...]

Acquring Rich Logical Knowledge from Text (Semantic Technology 2013)

As noted in prior posts about Project Sherlock, we have acquired knowledge from a biology textbook to build the business case for applications like Inquire.  We reported our results at SemTech recently.  The slides are  available here.

Background for our Semantic Technology 2013 presentation (part 1)

In the spring of 2012, Vulcan engaged Automata for a knowledge acquisition (KA) experiment.  This article provides background on the context of that experiment and what the results portend for artificial intelligence applications, especially in the areas of education.  Vulcan presented some of the award-winning work referenced here at an AI conference, including a demonstration [...]

Semantic Technology & Business Conference (SemTechBiz)

Benjamin Grosof and I will be presenting the following review of recent work at Vulcan towards Digital Aristotle as part of Project Halo at SemTechBiz in San Francisco the first week of June. Acquiring deep knowledge from text We show how users can rapidly specify large bodies of deep logical knowledge starting from practically unconstrained [...]

Deep QA

Our efforts at acquiring deep knowledge from a college biology text have enabled us to answer a number of questions that are beyond what has been previously demonstrated. For example, we’re answering questions like: Are the passage ways provided by channel proteins hydrophilic or hydrophobic? Will a blood cell in a hypertonic environment burst? If [...]

Understanding English promotes better policies and requirements

Capturing some policies from a publication by the Health and Human Services department recently turned up the following…. It’s probably the case that there are more specific lists than just “some list” or “any list”, as suggested below. This is a good thing about applying deep natural language understanding to policy statements.  It helps you [...]

Logic from the English of Science, Government, and Business

Our software is translating even long and complicated sentences from regulations to textbooks into formal logic (i.e,, not necessarily first-order logic, but more general predicate calculus).   As you can see below, we can translate this understanding into various logical formalisms including defeasible first-order logic, which we are applying in Vulcan’s Project Halo.  This includes classical [...]

Rules vs. applications of knowledge

I was just asked for some background on business rules and the major players, preferably in the form of videos. The request came in by email, so I didn’t have the opportunity to immediately ask “why”.   Below I give some specific and direct responses, but first a few thoughts about clarifying objectives. I don’t know [...]

IBM Ilog JRules for business modeling and rule authoring

If you are considering the use of any of the following business rules management systems (BRMS): IBM Ilog JRules Red Hat JBoss Rules Fair Isaac Blaze Advisor Oracle Policy Automation (i.e., Haley in Siebel, PeopleSoft, etc.) Oracle Business Rules (i.e., a derivative of JESS in Fusion) you can learn a lot by carefully examining this [...]