PATENT CLAIM ANALYSIS

Application Number: 16045272
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2018-11
Patent Classification: ["707", "805000"]

Abstract:
An approach is provided for aggregating business data. Based on received columns, attributes, and keys of a dataset, the dataset is registered in a central hub of datasets which include data that is independently and locally maintained. Other datasets in the central hub that include columns, attributes, or keys that match the received columns, attributes, or keys, respectively, are determined and displayed. Responsive to receiving a user selection of one or more of the displayed datasets, cross-links between the dataset and each of the one or more selected datasets are generated. Based on a modification of a selected one of the cross-links and a second user interacting with the central hub, the modification and other cross-link(s) are displayed.

Claim (Index 6):
The method of  claim 1 , further comprising:\n providing at least one support service for at least one of creating, integrating, hosting, maintaining, and deploying computer-readable program code in the computer, the program code being executed by a processor of the computer to implement the steps of receiving the columns, attributes, and keys, registering the dataset, loading the initial or updated data, determining and displaying the other datasets, receiving the selection, generating the cross-links, displaying the cross-links, receiving the selection of one of the displayed cross-links, receiving the modification of the cross-link, storing the modification of the cross-link, and displaying the modification of the cross-link and the cross-link(s) other than the cross-link whose selection was received as the potential selection by the second user.

Metadata:
- Claim Count in Document: 38.0
- Percentile: 95.0
- Lexical Diversity: 2.28333
- Patent Class: 707.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15615116', '14523244', '15534465', '13077379', '11467159']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2118743759105779
- 35 USC 102 Novelty (BERT): 0.5360262682785805
- Combined Prediction Score: 0.2442895651473781
- Mean Citation Score: 247.35238200000003
- Max Citation Score: 380.77893
- Similarity Product: 377.9578159236198

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