PATENT CLAIM ANALYSIS

Application Number: 15974216
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-11
Patent Classification: ["709", "219000"]

Abstract:
Systems and methods for reconstructing unified data in an electronic storage network are provided which may include the identification and use of metadata stored centrally within the system. The metadata may be generated by a group of storage operation cells during storage operations within the network. The unified metadata is used to reconstruct data throughout the storage operation cells that may be missing, deleted or corrupt.

Claim (Index 12):
A method for reconstructing missing metadata in an electronic storage network, comprising:\n copying primary data stored on at least a first storage device to at least a second storage device to create at least a secondary copy of the primary data on the second storage device; creating a first set of metadata associated with at least a portion of the secondary copy; storing a copy of the first set of metadata in database of metadata; and determining whether a portion of the first set of metadata is missing by identifying data in the portion of the secondary copy that has no corresponding metadata in the first set of metadata; and reconstructing a missing portion of the first set of metadata using the copy of the first set of metadata stored in the database of metadata.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 93.0
- Lexical Diversity: 1.45833
- Patent Class: 709.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15454903', '14455201', '11639855', '15882833', '14815081']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2660739696498877
- 35 USC 102 Novelty (BERT): 0.4950663485075863
- Combined Prediction Score: 0.2889732075356576
- Mean Citation Score: 245.32551600000005
- Max Citation Score: 284.57855
- Similarity Product: 265.5885152020633

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