1. Jason B. Alonso Tangible Media Group

2. Motivation
Designed for OpenMind family, but language open to competing common sense knowledge base
Unify X-Nets (ConceptNet, EventNet, LifeNet, etc.)
Recurring analytical methods
Spreading activation
“Interchangeable parts”
Is it a library or a data set?
OpenMind family of projects vs. competing common sense knowledge bases (Cyc, ThoughtTreasure)
Variety of substantially incompatible OMCS derivative representations
X-Nets (ConceptNet, EventNet, LifeNet, etc.)
No or weak interconnection
X-Nets are broken
Recurring analytical methods used in applications
Spreading activation, other possibilities (HMM, Bayes, backpropagation)
Spreading activation appears in “What am I Gonna Wear” and ARIA
Realm filtering… everywhere
No “interchangeable parts”, but changes are desired. For example, GlobalMind (multilingual data), polarity in ConceptNet, etc.

3. The Model Application Realm Representation Corpus
Reasoning
Parsing/Encoding
Corpus
…submitted to IUI Common Sense workshop

4. The Model Application Realm Representation Corpus ARIA, Goose
Reasoning
Parsing/Encoding
Corpus
ARIA, Goose
Spreading activation
ConceptNet …
MontyLingua and…
OMCS

5. The First Experiment Tame the data! Test only the layered architecture
ConceptNet only
Save testing EventNet, LifeNet cooperation for later
Substantial changes in namespaces will be required
Work in conjunction with Rob Speer and Catherine Havasi’s revival of ConceptNet code
Tame the data => get the existing OMCS data and revival-in-progress into a sustainable condition. In this case, I interfaced the revival database with Python/Django. This work is substantially nontrivial.
Testing architecture only => interchangeable parts will require more work later.

6. Current Progress Data tamed. Now with administrative web interface
Multiple special replacement dictionaries and word lists
Autocorrector separated from parsing code
100% of corpus layer, 33% of representation layer
Good schema design… time consuming.
Repesentation layer
Presentation layer schema implied but not yet implemented.
Reasoning layer belongs to Rob Speer, but some innovations on his SQL queries are being made.
Parsing/Encoding layer distressingly complex, forcing creation of a tools module

7. Acknowledgements
Catherine Havasi and Rob Speer for understanding as I scrutinized *everything*… and continue to do so.
Henry and Junia as well as Dustin Smith for insight on the structure and future of ConceptNet.

8. Questions?