Method And Computer Program Product For Semantically Representing A System Of Devices

• US 20160350364A1
• Filed: 06/01/2016
• Published: 12/01/2016
• Est. Priority Date: 06/01/2015
• Status: Abandoned Application

• Current Assignee: Siemens AG
• Original Assignee: Siemens AG
• Inventors: Anicic, Darko, Charpenay, Victor, Kaebisch, Sebastian
• Application Number:
  US15/170,007
• Publication Number:
  US 20160350364A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/2379 Updates performed during online database operations; commit processing
• CPC Class Codes: G06F 16/367 Ontology
• CPC Class Codes: G06F 16/9024 Graphs; Linked lists G06F16/9027 takes precedence
• CPC Class Codes: G06F 40/30 Semantic analysis
• CPC Class Codes: G06F 8/35 model driven
• CPC Class Codes: G06F 8/51 Source to source
• CPC Class Codes: G06N 5/022 Knowledge engineering; Knowledge acquisition

Abstract

An automated method for semantically representing a system of uses an ontology design pattern that allows model transformation from a tag representation to an ontological structure and back. Thereby, a tagging-based data model, e.g., according to Haystack Project, is provided for representing at least one of said devices by an entity, wherein each entity is associated by at least one tag. The method includes generating a semantic web representation and integrating the semantic web representation into an ontological model. This integration allows for an easy model instantiation corresponding to annotation with tags from a pre-defined vocabulary which has the advantage of modeling entities with low computational power and, in parallel, maintaining a representation by an ontological graph knowledge on the other hand. The ontological graph knowledge may grant reasoning and search mechanisms by standard interfaces using query languages.

Claims

1. A method for semantically representing a system of devices dedicated to automation purposes, the method including:

providing a tagging-based data model representing at least one of said devices by an entity, each entity associated with at least one tag;

generating a semantic web representation by establishing at least one of;

a tag-based semantic relation between at least one entity and at least one tag;

or

a reference-based semantic relation between at least one entity and at least one other entity;

integrating said semantic web representation into an ontological model by;

retrieving a class of the ontological model for at least one tag related by said tag-based semantic relation and assigning or creating an individual in the ontological model;

retrieving an individual of the ontological model related by said reference-based semantic relation and referencing or creating a referenced individual in the ontological model; and

associating at least one individual of the ontological model with at least one other individual by a property of the ontological model based on a property associating the retrieved class of the least one individual and the retrieved class of the at least one other individual.

2. The method of claim 1, wherein at least one of the class, the individual, or the property is identified as a semantic web resource.

3. The method of claim 1, wherein at least one of the class, the individual, or the property is identified by an Internationalized Resource Identifier or by a Uniform Resource Identifier.

4. The method of claim 3, wherein the Internationalized Resource Identifier or the Uniform Resource Identifier comprises a namespace and a local name.

5. The method of claim 1, wherein the devices are building automation components.

6. The method of claim 1, wherein the tagging-based data model is modeled according to Project Haystack.

7. The method of claim 1, wherein the tags are organized in a vocabulary and wherein the tags are associated with individuals instantiated by a class of a domain model, the class being related by said tag-based semantic relation.

8. The method of claim 1, wherein each entity and each tag is expressed by a relation within a meta-model.

9. A computer program product comprising program code stored on a non-transitory computer-readable storage medium, wherein the program code is executable by a processor to:

load a tagging-based data model representing at least one of said devices by an entity, each entity associated with at least one tag;

generate a semantic web representation by establishing at least one of;

a tag-based semantic relation between at least one entity and at least one tag, or a reference-based semantic relation between at least one entity and at least one other entity,

integrate said semantic web representation into an ontological model by;

retrieving a class of the ontological model for at least one tag related by said tag-based semantic relation and assigning or creating an individual in the ontological model;

retrieving an individual of the ontological model related by said reference-based semantic relation and referencing or creating a referenced individual in the ontological model;

associating at least one individual of the ontological model with at least one other individual by a property of the ontological model based on a property associating the retrieved class of the least one individual and the retrieved class of the at least one other individual.

10. The computer program product of claim 9, wherein at least one of the class, the individual, or the property is identified as a semantic web resource.

11. The computer program product of claim 9, wherein at least one of the class, the individual, or the property is identified by an Internationalized Resource Identifier or by a Uniform Resource Identifier.

12. The computer program product of claim 11, wherein the Internationalized Resource Identifier or the Uniform Resource Identifier comprises a namespace and a local name.

13. The computer program product of claim 9, wherein the devices are building automation components.

14. The computer program product of claim 9, wherein the tagging-based data model is modeled according to Project Haystack.

15. The computer program product of claim 9, wherein the tags are organized in a vocabulary and wherein the tags are associated with individuals instantiated by a class of a domain model, the class being related by said tag-based semantic relation.

16. The computer program product of claim 9, wherein each entity and each tag is expressed by a relation within a meta-model.