PATENT CLAIM ANALYSIS

Application Number: 16360815
Application Type: Utility
Filing Date: 2019-03
Publication Date: 2019-08
Patent Classification: ["717", "102000"]

Abstract:
Systems, methods, and devices for a cyberphysical (IoT) software application development platform based upon a model driven architecture and derivative IoT SaaS applications are disclosed herein. The system may include concentrators to receive and forward time-series data from sensors or smart devices. The system may include message decoders to receive messages comprising the time-series data and storing the messages on message queues. The system may include a persistence component to store the time-series data in a key-value store and store the relational data in a relational database. The system may include a data services component to implement a type layer over data stores. The system may also include a processing component to access and process data in the data stores via the type layer, the processing component comprising a batch processing component and an iterative processing component.

Claim (Index 1):
A software program for developing and operating enterprise applications, comprising:\n an integration layer configured to integrate data from a plurality of different sources that utilize different data types or data structures, wherein the plurality of different sources comprise extraprise data sources, enterprise data sources, or internet-of-things data sources; an abstraction layer configured to generate abstract representations of (i) the data from the plurality of different sources and (ii) correlations of the data, using a model-driven architecture; and a plurality of algorithms for processing the abstract representations of the data and the data correlations, wherein the plurality of algorithms comprise big data operations, machine learning models, and business application logic, the plurality of algorithms having been abstracted by the abstraction layer prior to processing the abstract representations of the data and the data correlations, wherein the abstract representations of the plurality of algorithms, the data, and the data correlations enable the data to be processed using one or more of the plurality of algorithms without requiring knowledge of a structure, logic, or interrelationship of the plurality of algorithms or the different data types or data structures.

Metadata:
- Claim Count in Document: 77.0
- Percentile: 99.0
- Lexical Diversity: 2.11429
- Patent Class: 717.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14495848', '13946325', '11645449', '13874616', '10657947']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.314453145574414
- 35 USC 102 Novelty (BERT): 0.4782338401229167
- Combined Prediction Score: 0.3308312150292644
- Mean Citation Score: 134.393874
- Max Citation Score: 139.48752
- Similarity Product: 106.94994111797332

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

Dataset: test