PATENT CLAIM ANALYSIS

Application Number: 15991453
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2019-12
Patent Classification: ["708", "200000"]

Abstract:
Systems and methods are provided for bounded error matching of large scale numeric datasets. For example, a method includes generating a first synopsis for a first numeric dataset maintained in a data repository, receiving a user query to search for numeric datasets in the data repository which are related to a second numeric dataset, generating a second synopsis of the second numeric dataset, performing a hounded error matching process based on an error threshold value by comparing the second synopsis to the first synopsis to determine a match score between the first and second numeric datasets, the match score providing a measure of similarity between the first and second synopses, and responsive to results of the bounded error matching process, returning a query result to the user, which includes an identification of the first numeric dataset and the determined match score between the first and second numeric datasets.

Claim (Index 19):
A method comprising:\n maintaining a plurality of numeric datasets in a data repository; generating synopsis data structures for each of the plurality of numeric datasets in the data repository, wherein the synopsis data structures are constructed based on an error threshold value; generating a synopsis index comprising a plurality of index entries, wherein each index entry comprises a mapping of a given one of the synopsis data structures to an identifier of a corresponding numeric dataset in the data repository; receiving a user query to search for target numeric datasets in the data repository which are related to a source numeric dataset specified by the user query; generating a source synopsis data structure of the source numeric dataset based on the error threshold value; searching through the index entries of the synopsis index and identifying synopsis data structures of target numeric datasets which have elements in common with elements of the source synopsis data structure; determining a match score between the source synopsis data structure and each of the identified synopsis data structures, thereby generating a plurality of match scores, wherein a given match score provides a measure of similarity between the source numeric dataset and a given target numeric dataset in the data repository corresponding to a given one of the identified synopsis data structures; and returning a query result to the user, wherein the query result comprises a ranked list which identifies a plurality of target numeric datasets in the data repository having highest-ranking match scores, out of the plurality of match scores, to the source numeric dataset.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 93.0
- Lexical Diversity: 2.54839
- Patent Class: 708.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['12022601', '14672516', '13175611', '11906614', '14995090']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3643945654848668
- 35 USC 102 Novelty (BERT): 0.5038361923767884
- Combined Prediction Score: 0.378338728174059
- Mean Citation Score: 174.678348
- Max Citation Score: 192.20882
- Similarity Product: 124.9854154245937

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