PATENT CLAIM ANALYSIS

Application Number: 16112528
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2019-10
Patent Classification: ["718", "102000"]

Abstract:
A data scraping system includes: a management module having a service program that calls inquiry or execution requiring scraping to receive user information for scraping and allocate user information and a task using an internal scheduling algorithm; and a scraping module connected to a plurality of different institutions, allowing communication, based on the user information and the task allocated by the management module, to scrape data corresponding to the called inquiry or execution from the plurality of institutions. The scraping module includes a meta database to designate a data item to be scraped, and is configured to extract data to scrape based on the meta database from a data set provided by the institution. According to the data scraping system, it is possible to enable data scraping in various platforms such as mobile computing devices, and collect multiple scraping information in one device without constraints of a security module.

Claim (Index 12):
The data scraping method according to  claim 11 , wherein the scraping of data from the institution comprises:\n generating, by the scraping engine unit, a communication session between the institution and the scraping engine unit based on the communication information; processing, by the scraping engine unit, the user information based on the authentication information; and transmitting, by the scraping engine unit, an authentication value obtained by processing the user information to the institution, and scraping data from the institution.

Metadata:
- Claim Count in Document: 43.0
- Percentile: 96.0
- Lexical Diversity: 1.95122
- Patent Class: 718.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15085948', '11173656', '11174393', '11173837', '11173470']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4331264106125048
- 35 USC 102 Novelty (BERT): 0.5261996763974404
- Combined Prediction Score: 0.4424337371909983
- Mean Citation Score: 208.96642000000003
- Max Citation Score: 222.12662000000003
- Similarity Product: 153.72899861970666

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

Dataset: test