PATENT CLAIM ANALYSIS

Application Number: 15990766
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-10
Patent Classification: ["719", "318000"]

Abstract:
Methods and apparatus for correlating event notifications between agents in a management network are provided. An agent constructs a network notification in response to receiving an event notification. If the received event notification is associated with a prior notification already received and stored by the agent, a correlation attribute is added to the constructed network notification. If the received notification matches a peer agent notification category that another agent in the management network is interested in receiving, the constructed network notification is sent to the other agent.

Claim (Index 4):
The method of  claim 1 , wherein determining the correlation comprises determining whether the correlation exists between the second event notification and the first event notification, which is received at the first agent before receipt of the second event notification or within a defined delay after receipt of the second event notification, and, if the correlation does not exist, sending the second notification to the manager after expiry of the defined delay without modification, and, if the correlation exists, sending the modified notification to the manager after expiry of the defined delay.

Metadata:
- Claim Count in Document: 14.0
- Percentile: 93.0
- Lexical Diversity: 1.97872
- Patent Class: 719.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['13269898', '14707879', '11290597', '10069292', '12841546']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5682505668909276
- 35 USC 102 Novelty (BERT): 0.5719150143596833
- Combined Prediction Score: 0.5686170116378031
- Mean Citation Score: 335.047652
- Max Citation Score: 463.18063
- Similarity Product: 364.9877110834408

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test