Semantic Finite State Engine

by Jeroen Lapré 11Oct2K7

A proposal for dynamically generating executable object oriented software code from semantic real-world models.

Related projects:
Commontology

Stateless and Finite State Machines

An ontology, such as one defined in OWL, tends to be a static model of some knowledge. i.e. a collection of classes and attributes with constraints between them. The ontology may change through updates (improvements in the model), but it does not change it's state. Ontologies are a powerful way to author knowledge in a computable manner, though queries and inferencing.

Whereas when an object oriented software programme is executed, e.g. Java, it is a finite state engine. i.e. class attributes change values over time, and therefore change state.

Intuitive Onotologies

If an ontology is modeling concepts based on a natural langauge, such as English, the concepts are intuitive. e.g. Physical Thing: Car, Table, House, etc; Verb: Move, and it's subclasses Walk, Swim, Fly; Adjectives: Fast <=> Slow, Light <=> Heavy.

Semantic Genotype / Object Oriented State Engine Phenotype

An English Noun/Verb/Adjective Ontology could be mapped to an objected oriented programming language:
Noun->Class
Verb->Class Method
Adjective->ClassAttributes

Benefits

Human Readable / Self-Documenting Class, Method, and Attribute Naming conventions.
Intuitive behaviour in software code.
Ontology authoring, and consistency checking as a highlevel software debugging tool.

Applications
  • Intuitive dynamic software generation
  • Semantic Chat client generation
  • Agent-based software generation
  • Artificial Intelligence applications
  • Artificial Life generation
  • Peer2Peer agents
  • Distributed computing
Related Research

Language to Logic Translation with PhraseBank

Semantic Web / Ontology Authoring
The Semantic Web
Protege/OWL
OWL

Cyc.com
OpenCyc.org
OpenCyc for the Semantic Web
Opencyc Web Services
The CycFoundation

Software Development
Java
JXTA

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