Modeling and using computer resources over a heterogeneous distributed network using semantic ontologies

• US 20040054690A1
• Filed: 03/10/2003
• Published: 03/18/2004
• Est. Priority Date: 03/08/2002
• Status: Abandoned Application

• Current Assignee: 4124553 Canada Inc.
• Original Assignee: 4124553 Canada Inc.
• Inventors: Pauly, Michelle, Park, Jhong-Hee, Hillerbrand, Eric T., Murakonda, Sambasiva, Sebel, Tim D., Velmuran, Vivekanand, Kumar, Sujith, Glasgow, William S., Basu, Chitta, Padmalyan, Girish
• Application Number:
  US10/386,362
• Publication Number:
  US 20040054690A1
• Time in Patent Office: Days
• US Class Current: 707/104.1
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: H04L 61/4541 Directories for service discovery
• CPC Class Codes: H04L 67/51 Discovery or management thereof, e.g. service location protocol [SLP] or web services
• CPC Class Codes: H04L 67/564 Enhancement of application control based on intercepted application data
• CPC Class Codes: H04L 67/565 Conversion or adaptation of application format or content adding application control or application functional data H04L67/561
• CPC Class Codes: H04L 69/329 in the application layer [OSI layer 7]
• CPC Class Codes: H04L 9/40 Network security protocols

Abstract

A method of computing to address a predetermined computing requirement involving access to and use of computer resources, where more than one resource is capable of addressing the computing requirement. The method includes steps of describing plural computer resources using a description language, thereby obtaining descriptions of the resources; arranging the descriptions in one or more semantic ontologies; accessing one or more of the ontologies to select a particular one of the plural resources as available and/or qualified for addressing the computing requirement; and executing a computing process that utilizes the selected one of the plural resources to satisfy the computing requirement.

The disclosed method involves use of description language and the computer resources comprise web services. The describing step involves identifying attributes of the computer-accessible resources. The attributes of the computer resources are selected from the group comprising but not limited to: message formatting for the computer resources, transport mechanisms associated with the computer resources, protocols associated with the computer resources, type serialization associated with the computer resources, and invocation requirements of the computer resources. In further accordance with the method, the invocation requirements of the computer resources may be selected from the group comprising: HTTP, SOAP, CORBA, JAVA RMI, and equivalent computer invocation specifications.

Claims

1. A method of computing to address a predetermined computing requirement involving access to and use of computer resources, where more than one resource is capable of addressing the computing requirement, comprising the steps of:

(a) describing plural computer resources using a description language, thereby obtaining descriptions of the resources;

(b) arranging the descriptions in one or more semantic ontologies;

(c) accessing one or more of the ontologies to select a particular one of the plural resources as available and/or qualified for addressing the computing requirement; and

(d) executing a computing process that utilizes the selected one of the plural resources to satisfy the computing requirement.

2. The method of claim 1, wherein the description language is selected from the group comprising:

XML, DAML, DAML+OIL, RDF, and WSDL.

3. The method of claim 1, wherein the computer resources comprise web services.

4. The method of claim 1, wherein the describing step involves identifying attributes of the computer-accessible resources.

5. The method of claim 4, wherein the attributes of the computer resources are selected from the group comprising but not limited to:

message formatting for the computer resources, transport mechanisms associated with the computer resources, protocols associated with the computer resources, type serialization associated with the computer resources, and invocation requirements of the computer resources.

6. The method of claim 4, wherein the invocation requirements of the computer resources are selected from the group comprising:

HTTP, SOAP, CORBA, JAVA RMI, and equivalent computer invocation specifications.

7. The method of claim 1, wherein a first ontology represents a computer resource structural ontology, and a second ontology represents a computer resource classification ontology relating to metadata associated with one or more computer resources.

8. The method of claim 1, further comprising a third ontology representing an information model.

9. The method of claim 1, further comprising an execution model ontology representing a set, sequence, and/or conditions of invoking computer resources to carry out a complex computing process.

10. The method of claim 1, further comprising a transformation ontology representing predetermined transformations to be applied to selected computer resources.

11. The method of claim 1, wherein the computer resources are selected from the group comprising but not limited to:

computer application programs;

web services;

databases;

directory services for users and groups of users (e.g., LDAP);

file systems;

digital media repositories;

content repositories;

enterprise resource registries;

network-accessible resource registries;

application interfaces;

productivity applications such as spreadsheets or word processing applications; and

network and system management systems.

12. A method of computing to address a predetermined computing requirement involving access to and use of computer resources, comprising the steps of:

registering one or more computer resources in a computer resource registry;

storing informational attributes of the computer resources obtained by marking up the one or more computer resources;

storing metadata associated with the computer resources reflecting supplemental informational attributes of the computer resources;

creating and storing descriptions of the computer resources in an information model utilizing the informational attributes and the supplemental informational attributes;

creating and storing a computer process execution model reflecting utilization of a an information model to address the predetermined computing requirement;

receiving input parameters from a computer system user, as a part of executing a computer process execution model; and

providing results of execution of the computer process execution model utilizing the user'"'"'s input parameters.

13. The method of claim 12, wherein the informational attributes of the computer resources are selected from the group comprising:

an interface to the computer resource, a precondition of executing the computer resource, a post-condition associated with the computer resource, a constraint associated with the computer resource, and one or more semantic relationships between the computer resources and other information.

14. The method of claim 12, wherein the informational attributes of the computer resources are stored in a computer resource structural ontology.

15. The method of claim 12, wherein the metadata is stored in a computer resource classification ontology.

16. The method of claim 12, further comprising the step of applying a transformation utilizing a transformation ontology to determine a correspondence between parameters of two different computer resources.

17. A method of computing to satisfy a predetermined computing requirement involving access to and use of computer-accessible resources, comprising the steps of:

locating computer resources that may be available to address a portion of the predetermined computing requirement;

registering located computer resources in a computer resource registry;

marking up registered computer resources to reflect their capabilities, constraints, and conceptual relationships in a mark-up language, thereby creating one or more ontologies and instances thereof;

storing the created one or more ontologies and instances thereof in an ontology store;

creating an information model that addresses aspects of the predetermined computing requirement, the information model utilizing the stored ontologies and instances thereof;

storing the information model in an information model store;

executing the information model based on input data, to address the predetermined computing requirement.

18. The method of claim 17, wherein the mark-up language is DAML+OIL.

19. The method of claim 17, wherein the input data is provided by a user of the information model.

20. The method of claim 17, wherein the input data is provided by a transformation ontology that stores default data for use in the process.