A Corpus of Commonsense Knowledge about Solid Objects
Ernest Davis
Department of Computer Science
Courant Institute of Mathematical Sciences
New York University
This web-site is a corpus of commonsense knowledge about simple systems
of solid objects.
Structure in the Large
The corpus is organizes as a collection of web pages written in HTML.
The web pages are divided into four categories: (Pages marked in
brackets are under construction, but not included in the current version.)
- The home page (here).
- Foundational issues: Ontology,
Geometry,
[Syntax and logic],
Probability.
- Higher-level theories:
Fitting relations,
Holes,
Kinematics,
Dynamics,
[Abstraction, Approximation, and MetaRules].
- Domain theories:
Boxes,
Rings,
Heaps,
[Doors],
[Deadbolts],
[Desks].
For stable reference, successive, comparatively presentable, states of the
corpus will be archived. The default corpus (i.e. here)
is the most recent archived version. Currently, no previous versions are
yet archived. We also link the
the
active version under construction
Structure in the Small
The web pages consist mostly of a sequence of definitions and facts.
Each of these has a number of fields. The key fields of a
definition are an English language description; a declaration of new
symbols and their sorts; and, when possible, a formal representation
of the definition.
The key fields of a fact are
the English language statement,
the formal representation, and the following features:
- The theory the fact belongs to: Topological, geometric (with or without a
temporal component); kinematics; statics; or dynamics.
- Whether it is deterministic (the default) or probabilistic.
- Whether the objects involved in fact are individually enumerated
(the default) or whether the fact involves sets of object of indeterminate
cardinality.
- Whether the fact involves an external agent or does not (the default).
Other fields for both definitions and facts include diagrams, comments,
and citations.
Publications
Commonsense Knowledge about Boxes and Heaps (PDF)\
Submitted to KR-04.
This research has been supported by NSF grant IIS-0097537.