PATENT CLAIM ANALYSIS

Application Number: 16396454
Application Type: Utility
Filing Date: 2019-04
Publication Date: 2019-10
Patent Classification: ["707", "602000"]

Abstract:
The present invention extends to methods, systems, and computer program products for normalizing ingested signals. In general, different types of raw signals including source data in different pluralities of data dimensions and including other characteristics are ingested. Per raw signal, a transdimensionality transform is applied to recode and normalize the source data into a normalized signal that includes normalized data in a common reduced plurality of dimensions including a time dimension, a location dimension, and a context dimension. Normalization can include inferring signal annotations from the source data and using the annotations and/or the other characteristics to derive time, location, and context dimensions. Derivation can include computing a probability of a real-world event and including the probability in the context dimension. An real-world event is detection from the normalized data in the time, location, and context dimensions and an entity is notified of the real-world event.

Claim (Index 22):
The method of  claim 21 , further comprising:\n ingesting a second raw signal including second source data in a plurality of data dimensions; applying a transdimensionality transform to the second raw signal to generate a second normalized signal; deriving a second time dimension, a second location dimension, and a second context dimension for the second normalized signal; and computing a second single source probability for the second raw signal from the second normalized signal, wherein the real-world event of the real-world event type is detected using both the single source probability value for the raw signal and the second single source probability for the second raw signal.

Metadata:
- Claim Count in Document: 27.0
- Percentile: 100.0
- Lexical Diversity: 2.25
- Patent Class: 707.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['16038537', '16106436', '16285031', '16106530', '16394620']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2017762333920726
- 35 USC 102 Novelty (BERT): 0.5328403292003248
- Combined Prediction Score: 0.2348826429728978
- Mean Citation Score: 288.04977599999995
- Max Citation Score: 363.92764
- Similarity Product: 255.17630292223453

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