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 8):
A computer system comprising:\n a processor; system memory coupled to the processor and storing instructions configured to cause the processor to:\n ingest a raw signal including source data in a plurality of data dimensions; \n apply a transdimensionality transform to the raw signal recoding and normalizing 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, comprising:\n infer a signal annotation from the source data and other signal characteristics of the raw signal; and \n derive the time dimension, the location dimension, and the context dimension from both the other signal characteristics and the signal annotation, the deriving including at least:\n compute a single source probability value for the raw signal, from a plurality of the other signal characteristics of the raw signal, that at least approximates a probability that the raw signal actually indicates an occurrence of a real-world event type; and \n insert the probability into the context dimension of the normalized data; \n \n \n detect a real-world event of the real-world event type from the normalized data in the time dimension, the location dimension, and the context dimension including at least the single source probability value; and \n notify an entity about the real-world event.

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): 0.2010323312822741
- 35 USC 102 Novelty (BERT): 0.531926115729499
- Combined Prediction Score: 0.2341217097269966
- Mean Citation Score: 288.04977599999995
- Max Citation Score: 363.92764
- Similarity Product: 309.0383752403688

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