PATENT CLAIM ANALYSIS

Application Number: 15897723
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-06
Patent Classification: ["718", "104000"]

Abstract:
An apparatus including a processor to: parse comments of multiple task routines to identify I/O parameters; generate a visualization of a DAG to include a visual representation of each task routine, wherein each representation includes a task graph object of the task routine, at least one input data graph object that represents an input to the task routine and that includes a visual indication of at least one characteristic of the input; and at least one output data graph object that represents an output of the task routine and that includes a visual indication of at least one characteristic of the output; in the I/O parameters, identify each dependency between an output of one task routine and an input of another; for each identified dependency, augment the visualization with a dependency marker that visually links the visual representations of each associated pair of task routines; and visually output the visualization.

Claim (Index 28):
The method of  claim 27 , wherein:\n the at least one federated area comprises at least one linear hierarchy of multiple federated areas; the multiple task routines are distributed among the multiple federated areas; and the method comprises augmenting the visualization, at each visual representation of one of the multiple task routines, with an identifier of the federated area of the multiple federated areas in which the corresponding task routine is stored, wherein the identifier of the federated area comprises a universal resource locator (URL).

Metadata:
- Claim Count in Document: 80.0
- Percentile: 88.0
- Lexical Diversity: 2.77586
- Patent Class: 718.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15897675', '15897707', '15851869', '15613516', '15425886']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5077022118626542
- 35 USC 102 Novelty (BERT): 0.5637828033234662
- Combined Prediction Score: 0.5133102710087354
- Mean Citation Score: 365.206322
- Max Citation Score: 373.45416
- Similarity Product: 246.98996774419783

Labels:
- Claim Label 101: 0
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 0
- Label 101 Adjusted: 0

Dataset: test