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A Method To Exploit Semantical Data Classification on UI Input Disclosure Number: IPCOM000202739D
Publication Date: 2010-Dec-27
Document File: 4 page(s) / 85K

Publishing Venue

The Prior Art Database


This document describes a method to make smarter decisions by exploiting semantical data classification on UI input

This text was extracted from a PDF file.
This is the abbreviated version, containing approximately 38% of the total text.

Page 01 of 4

A Method To Exploit Semantical Data Classification on UI Input

Problem description

On many UIs today a user must register today to:
• register to download trial software
• register to download a technical paper
• register to read a technical article
• ...

In all cases the user is required to enter personal data such as first and last name, address, contact details such as email, phone and fax, age,

job, company and many

other personal attributes depending on the registration purpose. Companies asking for this personal information often do so because they want to follow up with advertisements flyers via mail or emails, sales calls and other activities. Advertisement emails and calls are considered from the user point of view often as a annoyance or a pain. Thus many users enter on purpose invalid data causing a number of issues on the user side as well as on the company side.

Issue List

From a user perspective entering invalid data, these are the issue:
• If the company having a registration UI deploys sophisticated data analysis, cleansing and validation software, invalid entries can be detected and rejected not giving the user a true "opt-out" option from being flooded with marketing stuff by entering invalid data where invalid means making it impossible to follow-up with advertisements, etc. The same issue might arise if simple, static rules are deployed.

From a company point of view, these are the issues:
• Costs: Sending out emails, mails or assigning employees to call based on invalid name, address and contact information is a waste of money.

• Total Cost of Ownership (TCO): Deploying sophisticated data analysis, cleansing and validation software to identify or even prevent invalid entries is driving up TCO for the company as well.

• Customer Churn: Potential users might not even try anymore to register and only go to competitors websites.

For the company as well as a user perspective hardwired valid/invalid decisions are not desirable removing flexibility and freedom of action.


The key idea for the issues described above is now:
• Using a mechanism to classify data using data fingerprints.
• enable real-time data fingerprints at UI data entry time to identify if data entered matches expected "domains" given by data classifications based on fingerprints, examples include phone numbers, addresses, email addresses, profession titles,


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age, etc.
• define business rules based on data classification results of data using data fingerprints acting on data in a smart way (see examples in the 2.2 benefits section)

• integrate real-time data fingerprints with alerting infrastructure to detect malicious data entries and quickly react to them

Key benefits

The business rules based on data classification results can be anything - however, here are a four examples for business rules:
• If a user provides invalid data (string in a phone number, "YYYYYYYYYY" as street name or similar garbage data) this...