METHOD AND SYSTEM FOR BUILDING A LANGUAGE FOR A KNOWLEDGE BASE

• US 20100082520A1
• Filed: 06/20/2006
• Published: 04/01/2010
• Est. Priority Date: 06/21/2005
• Status: Abandoned Application

• Current Assignee: Normind
• Original Assignee: Normind
• Inventors: Fagot, Christophe, Pierre, Denis, Durand-Daubin, Clement
• Application Number:
  US11/993,497
• Publication Number:
  US 20100082520A1
• Time in Patent Office: Days
• US Class Current: 706/50
• CPC Class Codes: G06N 5/02 Knowledge representation; Symbolic representation

Abstract

A method for building a language for a knowledge base correspondingly to the observation of facts in the world includes describing by a user a world representation by building an ontology, translating the description into restrictions corresponding to the user'"'"'s prescriptions, observing errors between objects and actions present in an environment and in the prescriptions, and adapting the ontology or the system behaviour in such a way that the errors are moved off.

Claims

1. Method for building a language for a knowledge base matched to the observation of facts in a system, in order to supply a software tool associated with said system, this method comprising:

a description by a user of a representation of said system, by constructing an ontology, said representation being based on a knowledge base,

a translation of this description into a network of constraints corresponding to instructions from the user,

an observation of objects and actions present in an actual environment of said system,

a confrontation of said observed objects with said instructions,

a detection of errors between the sequences of observed objects and the translation of the description into a network of constraints, and

an adaptation of the ontology or behaviour of said system so as to correct said errors,

said ontology thus adapted procuring for said user the knowledge base language.

2. Method according to claim 1, characterized in that the steps of description, translation and observation are iterated while the observed errors are outside an acceptable error state.

3. Method according to claim 1, implemented for the supply of a “

business”

software tool, characterized in that the description step comprises building a practical reference system.

4. Method according to claim 3, characterized in that the building of a practical reference system is accompanied by a definition of a semantic network consisting of terms, concepts and relationships.

5. Method according to claim 3, characterized in that the observation step comprises an entry of information in real time on a workstation for a user of said “

business”

software tool.

6. Method according to claim 3, characterized in that the observation step comprises a collection of information in one or more “

business”

databases.

7. Method according to claim 3, characterized in that the confrontation step comprises a propagation of constraints in the network from the observed objects.

8. System for building a language for a knowledge base matched to the observation of facts in a system, in order to supply a software tool associated with said system, implementing the method according to one of the preceding claims, comprising:

means for building, from a description of a representation of said system by a user, an ontology for the knowledge base,

means to translate this description into a network of constraints corresponding to instructions from the user,

means to observe objects and actions present in an actual environment of said system,

means to confront said observed objects with said instructions,

means to detect errors between the sequences of observed objects and the translation of the description into a network of constraints, and

means to adapt the ontology or behaviour of said system so as to correct said errors,

said ontology thus adapted procuring for said user the knowledge base language.