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30 Nov Architecting Meaningful Relationships

meaningful-relationships

How do you know — anything? Chemicals and electrical impulses splash around in the brain, and voila: we understand the meaning of life, the universe and everything. We have looked at how synapses connect neurons, and how taxonomical and other associations connect concepts, but is it even possible for a computer to understand the complex […]

20 Oct High 5s of Intelligent Information Modeling

Converged Canonical Model

Quantitative data is easy to make into useful information by establishing correct associations and providing human experts with the right slicing and dicing tools. But in its native format, data is not independently meaningful. Many qualitative content sources are narrative, born as whole information. Such content is advanced beyond data because of the built-in associations, but inevitably more difficult for machines to […]

06 Aug Data Convergence at Velocity

Volume Velocity and Variety

Knowledge workers in all types of organizations need information in internal (to the organization) databases, intranet sites and documents, as well as information in external databases, web pages and documents. The promise of data convergence includes the lofty goal of providing, from a single request, structured and unstructured information from both internal and external sources that can […]

28 Jan Summarization and Translation Domains

Multi-National Translation

Translation as A Sample Domain For our sample domain, we need something that requires expertise, is not trivial, and about which the author knows something. This limits us significantly, so we are taking the easy way out and going with the domain of Machine Translation (MT) of human languages. We considered the intricacies of communication […]

10 Dec Measuring Knowledge

Measuring Knowledge

Sometimes you need to know about your knowledge. When you’re in the middle of trying to build a system that knows stuff, you may ask, how much does the system know after this training or learning cycle as a percent of the total knowable amount? When we test students in their learning cycles, we use a […]

15 May Analyzing Semantics

Speak and Understand

Semantics The stratum of semantics is usually associated with meaning. Throughout the 1980s, when I was in college, semantics was viewed as more and more important in text-understanding systems. One aspect of semantics that has received a great deal of attention is thematic or case roles, which can be very useful in defining the roles of words or […]

13 May Patterns at the Boundaries

Language Strata Rule Tree

Morphological Patterns As we have shown in prior posts, we mentally process patterns both at a physical level between neurons and in brain layers, and at a cognitive level in recognition and reasoning. 3-DG uses attributes, patterns and constraints for morphological analysis, as well as analysis at other levels and between other strata. The 3-DG lexicon is organized […]

09 May Stratum Morphology

Construction on a Grand Scale

Morphology Morphology is about what happens to words to change their structure, impacting their meaning and usage. In English, we add -s or -es at the end of words to make them plural (guy –> guys, time –> times). Japanese, on the other hand, uses reduplication (hito –>hitobito, toki –> tokidoki) to make words plural. Adding to words, affixation, has three […]

05 May A Slice of Language

A Different Approach The previous section explained why we need the ground-up formulation of a new grammar for Natural Language (NL) understanding: none of the existing ones can accommodate the high demands of modern technology and approximate the paradigm of artificial intelligence as a model for human linguistic competence and performance across all linguistic phenomena. In […]

12 Apr Making a Pattern of Comprenshion

Speech and Hearing

In A Timeless Way of Building, Christopher Alexander points out that “…no pattern is an isolated entity. Each pattern can exist in the world only to the extent that it is supported by other patterns: the larger patterns in which it is embedded, the patterns of the same size that surround it, and the smaller […]