Pursuing a decision tree down a rat hole
Fair Isaac’s recent press release touts the “key differentiator” of Blaze Advisor 7.0 as: the innovative Decision Graph visual metaphor, a decision tree management solution that makes even the most...
View ArticleBlaze down in Fair Isaac’s Q1 2012
FICO reported 9% growth in revenues year over year. the bulk of revenues and all the growth was in pre-configured Decision Management applications FICO score revenues were half as much, w/ B2B growing...
View ArticleRecruiting: IBM Ilog vs. JBoss Drools
I received notice of a Victorian government position offering $106k, as follows, today: BRMS Developer (WebSphere ILOG JRules) You will have proven experience as a BRMS Developer within a Java/JEE...
View ArticleNLP: depictive in an HPSG lexicon?
We’re working with the English Resource Grammar (ERG), OWL, and Vulcan’s SILK to educate the machine by translating textbooks into defeasible logic. Part of this involves an ontology that models...
View ArticleProject Sherlock
Working as part of Vulcan’s Project Halo[1], Automata is applying a natural language understanding system that translates carefully formulated sentences into formal logic so as to answer questions that...
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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...
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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”...
View ArticleDeep 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...
View ArticleSemantic 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...
View ArticleSBVR in OWL
In preparation for generating RIF and SBVR from the Linguist, we have produced an OWL ontology for the pertinent aspects of the SBVR specification. We hope that this is helpful to others and would...
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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...
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Translating English into Logic using the Linguist
Now that the patent filings are done, we can discuss and show more about the Linguist… The following link is a video that shows a sentence from Project Sherlock being translated from English into...
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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...
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Pedagogical applications of proofs of answers to questions
In Vulcan’s Project Halo, we developed means of extracting the structure of logical proofs that answer advanced placement (AP) questions in biology. For example, the following shows a proof that...
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Financial industry to define standards using defeasible logic and semantic...
Last week, I attended the FIBO (Financial Business Industry Ontology) Technology Summit along with 60 others. The effort is building an ontology of fundamental concepts in the financial services. As...
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Deep question answering: Watson vs. Aristotle
At the SemTech conference last week, a few companies asked me how to respond to IBM’s Watson given my involvement with rapid knowledge acquisition for deep question answering at Vulcan. My answer...
View ArticleAnswers to Common Questions About AI
Well this is a blast from the past… I was working on “the next post” about how Watson, Google, and the semantic web threaten the major BRMS systems when I found myself rewriting that what matters about...
View ArticleConfessions of a production rule vendor (part 1)
If you are using one of the more popular rules engines, chances are you can blame me. I popularized the technology of forward-chaining production rules based on the Rete Algorithm. Others have...
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Neat vs. Scruffy and Watson
Recently, John Sowa has commented on LinkedIn or in correspondence with some of us at Coherent Knowledge Systems on the old adage due to Shanks concerning the Neats. vs. the Scruffies. The Neats want...
View ArticleGovernance, compliance, and contract management
Marketing at Coherent Knowledge suggests this Dilbert for those with compliance challenges!
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