While walking my husky after work yesterday, I Jott’ed myself:
Another great work out today on the electrical, you had over 3 kilometers and over 550 calories burned in 32 minutes. Nice work and then some good wait listing …
Most human readers would automatically parse this Jott as:
Another great workout today on the elliptical, you had over 3 kilometers and over 550 calories burned in 32 minutes. Nice work and then some good weight lifting …
Even though I don’t know a lot about Jott’s transcription engine, I’ll share my perspective on the identified differences:
- “work out” vs. “workout” and “wait” vs. “weight” – These are subtle differences. Differences that can only be resolved with an understanding of context. In other words, a human reader knows that I was attempting to capture some data on my lunch-time exercise routine, and re-parses the Jott with contextually correct words. In order to correct such subtle ‘errors of transcription’, Jott will need to develop semantic filters. Filters that can take context into account.
- “electrical” vs. “elliptical” and “listing” vs. “lifting” – These are glaring differences. I know, from past experience, that Jott has words like “elliptical” and “lifting” in its ‘dictionary’. Therefore, I regard these as errors originating from Jott’s inability to ‘hear’ what I’m saying. And although a context-based filter may also help here, I feel I must share some of the responsibility for not clearly articulating my Jott.
What does all of this mean?
Meaning, indeed, is the root of it all!
What this means is that some future version of Jott will need to do a better job of capturing meaning. What I had intended. The context in which I framed my Jott.
What this means is that in the longer term, a few major releases of Jott down the road, Jott will need to become as interested in the Semantic Web as companies like Google are today.
And as we’re experiencing with search engines like Google, this’ll take some effort and some time!
A workshop aimed directly at the intersection between the scientific and Semantic Web communities has recently been announced. It’ll be held towards the end of next March at Stanford. The stated goals for the workshop include:
… obtaining requirements for AI researchers from the scientific community, informing the computational science community of AI research efforts that are ready for use now or with additional research, and providing a forum for current collaborative efforts to present their work.
For those interested in immersing themselves in this evolving intersection, this promises to be a very worthwhile event.