METHOD AND APPARATUS FOR AUGMENTING DATA AND ACTIONS WITH SEMANTIC INFORMATION TO FACILITATE THE AUTONOMIC OPERATIONS OF COMPONENTS AND SYSTEMS

• US 20070288419A1
• Filed: 06/07/2006
• Published: 12/13/2007
• Est. Priority Date: 06/07/2006
• Status: Abandoned Application

• Current Assignee: Motorola, Inc. (Motorola Solutions, Inc.)
• Original Assignee: Motorola, Inc. (Motorola Solutions, Inc.)
• Inventors: Strassner, John C.
• Application Number:
  US11/422,661
• Publication Number:
  US 20070288419A1
• Time in Patent Office: Days
• US Class Current: 706/55
• CPC Class Codes: G06N 5/02 Knowledge representation; Symbolic representation

Abstract

A system includes object construction logic [700] and semantic augmentation logic [705]. The object construction logic receives events and data. It also identifies whether managed objects exist in a predefined set of at least one information model [205] and at least one ontology [240] corresponding to the events and data. The object construction logic [700] further deduces, based on the events and data, whether any previously unknown managed objects exist corresponding to the events and data. The semantic augmentation logic [705] augments at least one of the managed objects and the previously unknown managed objects with semantic information based on knowledge-based reasoning and state awareness, according to at least one installed policy to generate at least one new object and provide the at least one new object to an autonomic processing engine.

Claims

1. A method comprising:

receiving at least one of events and data;

identifying, by object construction logic based on the at least one of events and data, whether at least one managed object exists in a predefined set of at least one information model and at least one ontology corresponding to the at least one of events and data;

deducing, by the object construction logic based on the at least one of events and data, whether at least one previously unknown managed object exists corresponding to the at least one of events and data; and

augmenting at least one of the at least one managed object and the at least one previously unknown managed object with at least one of concept information and semantic information based on knowledge-based reasoning and state awareness, according to at least one installed policy to generate at least one new object; and

providing the at least one new object to an autonomic processing engine.

2. The method of claim 1, the receiving comprising receiving the at least one of events and data from a monitored managed resource.

3. The method of claim 1, further comprising enabling new semantic information to be at least one of incorporated into and removed from, the at least one information model and the at least one ontology.

4. The method of claim 1, the identifying comprising matching the at least one of events and data to at least one of:

at least one managed object in the information model, and

at least one concept in the at least one ontology.

5. The method of claim 4, the matching comprising employing at least one of:

pattern matching techniques to match the at least one of events and data with at least one of

the at least one managed object and the at least one previously unknown managed object, and

at least one attribute of the at least one managed object and the at least one previously unknown managed object; and

at least one semantic technique to match at least one of;

content of the at least one of events and data with at least one of the at least one managed object and the at least one previously unknown managed object;

a meaning of the at least one of events and data with at least one of;

a concept in the at least one ontology, the at least one managed object, and the at least one previously unknown managed object; and

a definition of the at least one of events and data with at least one concept in the at least one ontology.

6. The method of claim 1, the augmenting comprising receiving at least one of a graph of information objects and ontological concept objects from the object construction logic.

7. The method of claim 6, the augmenting comprising categorizing the graph, retrieving additional concepts, and storing the graph and the additional concepts as at least one new graph.

8. The method of claim 7, the augmenting further comprising sending the at least one new graph to the object construction logic for additional processing, constructing at least one additional new graph, and determining whether any additional corresponding concepts exist.

9. The method of claim 8, wherein in response to determining that no additional corresponding concepts exist and sufficient meaning is present in the at least one new graph, performing a semantic markup to the new graph.

10. A system, comprising:

object construction logic to;

receive at least one of events and data,

identify, based on the at least one of events and data, whether managed objects exist in a predefined set of at least one information model and at least one ontology corresponding to the at least one of events and data, and

deduce, based on the at least one of events and data, whether any previously unknown managed objects exist corresponding to the at least one of events and data; and

semantic augmentation logic to augment at least one of the managed objects and the previously unknown managed object with at least one of concept information and semantic information based on knowledge-based reasoning and state awareness, according to at least one installed policy to generate at least one new object and provide the at least one new object to an autonomic processing engine.

11. The system of claim 10, the semantic augmentation logic having a reception element to receive at least one of a graph of information objects and ontological concept objects from the object construction logic.

12. The system of claim 11, the semantic augmentation logic comprising a processing element to categorize the at least one graph, retrieve additional concepts, and store the graph and the additional concepts as at least one new graph.

13. The system of claim 12, the processing element being adapted to send the at least one new graph to the object construction logic for additional processing, construct at least one additional new graph, and determine whether any additional corresponding concepts exist.

14. The system of claim 13, the semantic augmentation logic comprising a semantic markup element to perform a semantic markup to the at least one additional new graph in response to determining that no additional corresponding concepts exist and sufficient meaning is present in the new graph.

15. Semantic augmentation logic, comprising:

a reception element to receive, from an object construction logic, at least one of;

managed objects existing in a predefined set of at least one information model and at least one ontology corresponding to at least one of events and data received from a monitored managed resource, and

previously unknown managed objects existing corresponding to the at least one of events and data; and

a processing element to augment at least one of the managed objects and the previously unknown managed objects with at least one of concept information and semantic information based on knowledge-based reasoning and state awareness, according to at least one installed policy to generate at least one new object and provide the at least one new object to an autonomic processing engine.

16. The semantic augmentation logic of claim 15, the semantic augmentation logic further having a reception element to receive at least one of a graph of information objects and ontological concept objects from the object construction logic.

17. The semantic augmentation logic of claim 16, the semantic augmentation logic comprising a processing element to categorize the at least one graph, retrieve additional concepts, and store the graph and the additional concepts as a new set.

18. The semantic augmentation logic of claim 17, the processing element being adapted to send the new set to the object construction logic for additional processing, construct a new graph, and determine whether any additional corresponding concepts exist.

19. The semantic augmentation logic of claim 18, further comprising a semantic markup element to perform a semantic markup to the new graph in response to determining that no additional corresponding concepts exist and sufficient meaning is present in the new graph.

20. The semantic augmentation logic of claim 18, further comprising a reasoning element to reason about events and data through a determination of semantic similarity between the at least one of events and data and at least one managed object stored in the at least one information model.