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 7):
A computer program product, comprising:\n a computer-readable storage device; and a computer-readable program code stored in the computer-readable storage device, the computer-readable program code containing instructions that are executed by a central processing unit (CPU) of a computer system to implement a method of aggregating business data, the method comprising the steps of:\n the computer system receiving from a user columns, attributes of the columns, and keys of a dataset of a database, the keys being unique identifiers of records in the dataset, and the dataset not being initially cross-linked to any dataset included in a central hub of a plurality of datasets, each dataset including data that is independently and locally maintained; \n \u2003based on the received columns, attributes, and keys of the dataset, the computer system registering the dataset so that the dataset is included in the central hub; \u2003the computer system loading initial data or updated data into the dataset in the central hub; \u2003the computer system determining and displaying other datasets included in the central hub that include columns, attributes, or keys that match the received columns, attributes, or keys, respectively; \u2003the computer system receiving from the user a selection of one or more of the displayed datasets; \u2003in response to the step of receiving the selection, the computer system automatically generating cross-links between the dataset and each of the one or more datasets selected from the displayed datasets, the cross-links based at least in part on the columns, attributes, or keys of the displayed datasets that match the received columns, attributes or keys, and the cross-links providing an aggregation of business data in the dataset and the one or more datasets; \u2003the computer system displaying the cross-links between the dataset and each of the one or more datasets, and in response, receiving from the user or another user a selection of one of the displayed cross-links; \u2003the computer system receiving from the user or the other user a modification of the cross-link whose selection was received; \u2003the computer system storing the modification of the cross-link in association with the cross-link; and \u2003based on the modification of the cross-link being stored in association with the cross-link and in response to an interaction with the central hub by a second user, the computer system displaying (1) the modification of the cross-link instead of the cross-link and (2) cross-link(s) other than the cross-link whose selection was received as a potential selection by the second user, the second user being different from the 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): 0.2118690971810275
- 35 USC 102 Novelty (BERT): 0.5360307412489866
- Combined Prediction Score: 0.2442852615878235
- Mean Citation Score: 247.35238200000003
- Max Citation Score: 380.77893
- Similarity Product: 378.2071789945793

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