Commercial Intelligence Rotating Header Image

Posts under ‘Natural Language’

What is has always been going to be

I’ve been working for a while now on an ontology for representing events (which includes process, of course).  One of the requirements of a system that is to monitor, govern, implement, or reason about processes is that it consider “situations”, which are things that happen or occur, including events and states.  (See, for example, the [...]

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 [...]

Google vs. Facebook and Bing (again)

Almost a year ago, I wrote about semantics and social networking as threats to Google.  In that post, I referenced a prior article on investments in natural language processing, such as Microsoft’s acquisition of Powerset, which is now part of Bing. Today, there are two articles I recommend.  The first addresses the extent to which Google’s [...]

Google follows Microsoft’s lead towards intelligence

Being a fan of increased intelligence on the web, including Bing’s use of Powerset and True Knowledge, I enjoyed cnet’s report, “Google search gets answer highlights and events.” Google now shows the following “The Empire State Building rises to 1250 ft (381 m) at the 102nd floor” in response to the classic semantic web test question. [...]

Time for the next generation of knowledge automation

In preparing for my workshop at the Business Rules Forum in Las Vegas on November 5th, I have focused on the following needs in reasoning about processes, about events, and about or over time: Reasoning at a point within a [business] process Reasoning about events that occur over time. Reasoning about a [business] process (as [...]

The Semantic Arms Race: Facebook vs. Google

As I discussed in Over $100m in 12 months backs natural language for the semantic web, Radar Networks’ Twine is one of the more interesting semantic web startups.  Their founder, Nova Spivak, is funded by Vulcan and others to provide “interest-driven [social] networking”.  I’ve been participating in the beta program at modest bandwidth for a [...]

Cyc is more than encyclopedic

I had the pleasure of visiting with some fine folks at Cycorp in Austin, Texas recently.  Cycorp is interesting for many reasons, but chiefly because they have expended more effort developing a deeper model of common world knowledge than any other group on the planet.  They are different from current semantic web startups.  Unlike Metaweb’s [...]

Harvesting business rules from the IRS

Does your business have logic that is more or less complicated than filing your taxes? Most business logic is at least as complicated.  But most business rule metaphors are not up to expressing tax regulations in a simple manner.  Nonetheless, the tax regulations are full of great training material for learning how to analyze and [...]

Over $100m in 12 months backs natural language for the semantic web

Radar Networks is accelerating down the path towards the world’s largest body of knowledge about what people care about using Twine to organize their bookmarks.  Unlike social bookmarking sites, Twine uses natural language processing technology to read and categorize people’s bookmarks in a substantial ontology.  Using this ontology, Twine not only organizes their bookmarks intelligently [...]

Oracle should teach Siebel CRM about location and money

Not long ago I posted on the need to understand common concepts well. My example then concerned the need to understand time well enough to answer a question like, “How much did IBM’s earnings increase last quarter?”. Recently, in contemplating some training issues related to the integration of Haley Authority within Siebel, I came across examples [...]