dqm localization for china rcd

8/13/2019 DQM Localization for China RCD

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RELEASE CONTENT DOCUMENT

Data Quality ManagementLocalization for China (v1)

Oracle China Research and Development Center

Last Updated: 24-Jun-05

Version: 1.4

Copyright 2005 Oracle Corporation

All Rights Reserved


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Change Record

Date Author Version Change Reference

11-Apr-05 APG 1.0 New Document

22-Apr-05 APG 1.1 Updated reference documents

03-Jun-05 APG 1.2 Updated the match rules.

07-Jun-05 APG 1.3 Added appendix A

24-Jun-05 APG 1.4 Updated Word Replacement List

Contributors

Date Author Version Document

Reviewers

Name Position

Approvers

Name Position

Distribution

Copy Number Name Location


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Table of Contents

1. Disclaimer 4

2. Introduction 5

2.1. Purpose of Document 5

2.2. Reference Documents 5

3. Data Quality Management (DQM) 6

3.1. DQM Localization for China 6

3.1.1. Overview 6

3.1.2. Features 6

3.1.2.1. Seeded Attributes and Transformation Functions 6

3.1.2.2. Chinese Specific Word Replacement Lists 7

3.1.2.3. Chinese Specific Transformation Functions 10

3.1.2.4. Seeded Chinese Specific Match rules 17

3.1.3. Product Dependencies 19

3.1.4. Third Party Integration Points 19

3.1.5. Terminology 19

Appendix A: Seeded Chinese Specific Match Rules 20

SAMPLE: SEARCH CN 20

HZ_PERSON_ADVANCED_SEARCH_MATCH_RULE_CN 22

HZ_PERSON_SIMPLE_SEARCH_RULE_CN 24

HZ_ORG_ADV_SEARCH_RULE_CN 25

HZ_ORG_SIMPLE_SEARCH_RULE_CN 27

DL SMART SEARCH CN 28

SAMPLE: IDENTICAL_PERSON_CN 30

SAMPLE: IDENTICAL_ORGANIZATIONS_CN 31

SAMPLE: SIMILAR_ORGANIZATION_CN 33

SAMPLE: SIMILAR_PERSON_CN 34

DL SYSTEM DUPLICATE IDENTIFICATION CN 36

BULK MATCH: IDENTICAL ORGANIZATIONS CN 38

BULK MATCH: IDENTICAL PERSONS CN 40


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1. Disclaimer

This Release Content Document (RCD) describes product features that are proposed

for the specified release of the Oracle E-Business Suite. This document describes

new or changed functionality only. Existing functionality from prior releases is not

described.

This RCD in any form, software or printed matter, contains proprietary information

that is the exclusive property of Oracle Corporation. This document is subject to

change without notice until such time as details of the release are finalized and should

not, therefore, be taken as a commitment to deliver functionality.

This Release Content Document is intended to outline new or changed functionality

only. It is intended for information purposes only, and may not be incorporated into

any contract. It is not a commitment to deliver any material, code, or functionality,

and should not be relied upon in making purchasing decisions. The

development, release, and timing of any features or functionality described in this

Release Content Document remain at the sole discretion of Oracle.


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2. Introduction

2.1. Purpose of Document

The Release Content Document (RCD), produced as part of Oracle Product ReleaseProcess (PRP), communicates information about new or changed functionality in the

specified release of the Oracle E-Business Suite. Existing functionality from prior

releases is not described.

2.2. Reference Documents

Name Location Completion

Date

Oracle Customers Online User Guide Part No. A96178-05

Oracle Data Librarian User Guide Part No. B12312_02

Oracle Trading Community Architecture User Guide Part No. B12310_02

Oracle Trading Community Architecture Administration Guide Part No. B10854_03

Oracle Trading Community Architecture Reference Guide Part No. B12311-02

Oracle Trading Community Architecture Data Quality

Management

Part No. A97626-02

Instructions for Applying Oracle Trading Community Architecture

Mini-pack 11i.HZ.N

MetaLink Note 289826.1


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3. Data Quality Management (DQM)

3.1. DQM Localization for China

3.1.1. OverviewThe functionality delivered is mainly geared toward meeting the requirements of

China customers who are using the DQM engine on data that is different from seeded

English data. To accommodate the transforming of Chinese localized data we are

introducing Seeded Customer Attributes, Chinese Specific Word Replacement Lists,

Chinese Specific Transformation Functions and Seeded Match Rules. Some customer

attributes required in China will be delivered as seeded ones and customers can use

them directly without any customization or coding. Chinese Specific Word

Replacement Lists include general Simplified Chinese word lists (dictionaries) which

may be used in party, address, contact or contact point. Chinese Specific

Transformation Functions are based on Non-Delimited Word Replacement Lists.

They allow the customers to use Chinese languages where words are not separated by

white spaces (different from English), to standardize their data effectively. That is,

they can analyze or parse Chinese sentences and process China specific data

accurately, so we can handle the Chinese NLP (Natural Language Processing) issue

when searching and identifying the duplicate party, address, contact and contact

point. To accommodate the matching of Simplified Chinese data more effectively we

also seeded some Chinese Specific Match Rules.

3.1.2. Features

3.1.2.1. Seeded Attributes and Transformation Functions

3.1.2.1.1. Seeded Customer Attributes

We added two seeded customer attributes for Chinese person search and

identification requirement.

Type of Personal Identification

Driver's License, Identification Number, Passport Number

Personal Identification Number

If the type is ID number, it will be a 15 or 18 bit number

3.1.2.1.2. Seeded Configuration and Setup

DQM Localization will additionally set the status of all transformation functions,

which can be used in Chinese, to active. It is easier for Chinese users to define

match rules, and also can improve staging performance greatly.

Note: if you want to use Seeded English DQM match rules (e-business

suite standard functionality), please ensure all the transformation

functions used in this match rule have been set to active, and then run

DQM Staging program (Staging Command: STAGE_ALL_DATA) once.

(See: DQM Staging Program, Oracle Trading Community Architecture

Data Quality Management)


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3.1.2.2. Chinese Specific Word Replacement Lists

Seeded 12 Word Replacement Lists (Dictionaries), covering all DQM attributes. We

will give several examples for every word replacement list.

3.1.2.2.1. RM_MARK_CN

This word list contains symbols, marks and so on as the original word, while the

replacement words are null. For example:

Original Word Replacement Word Condition (Optional) Entity Value

*

)

@

3.1.2.2.2. FULL_PART_CN

This word list contains full width symbols, numeric characters and alphabetic

characters as the original word, while the replacement words are the

corresponding half width. For example:


A

b

&

3.1.2.2.3. CHAR_TO_PINYIN

To replace Simplified Chinese characters with pinyin. For example:


XIAO

WANG

3.1.2.2.4. TRADITION_TO_SIMPLIFY

This list is for replacing traditional Chinese with Simplified Chinese. For

example:


3.1.2.2.5. ORG_TYPE_CN


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This list is for stripping out anything equivalent to legal organization type in

China, organization abbreviation, English name to Chinese name, etc. For

example:


3.1.2.2.6. ORG_BIS_CN

To remove business or industry words from organization name string. For

example:


3.1.2.2.7. ORG_NICKNAME_CN

To replace organization identification name with their nickname or abbreviation.

For example:


ICBC

ORACLE

3.1.2.2.8. PROVINCE_CN

This list is to delete provinces. For example:


3.1.2.2.9. CITY_CN

This list is to delete city abbreviation. For example:



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3.1.2.2.10. COUNTY_CN

This list is to delete county abbreviation. For example:


3.1.2.2.11. PROVINCE_TO_SIMPLE

Convert various kinds of province names to standard abbreviations. For example:


3.1.2.2.12. REGION_SYNONYM_CN

To replace city, county with abbreviated one. For example:


3.1.2.2.13. COUNTRY_CN

To replace city, county with abbreviated one. For example:


3.1.2.2.14. PERSON_CN

To replace Chinese surname. For example:



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3.1.2.3. Chinese Specific Transformation Functions

We provide 26 localization transformation functions. Totally seeded more than 120

transformations for all 60+ attributes.

3.1.2.3.1. EXACT_CN

To obtain a string that contains only the alphabetic, numeric and Chinese

characters, without any space and in half width format. In the result, all

alphabetic letters should be capitalized.

Description in English:

Convert full width to half width; Removes non-alphanumeric characters;

Forces upper case

Description in Chinese:

Example:

From:

To: A1

3.1.2.3.2. EXACT_CN (URL)

This transformation function obtains a half width capitalized letters URL string

for exact match.


Forces upper case; Convert full width to half width


+ Example:

From: http://www.oracle.com

To: WWW.ORACLE.COM

3.1.2.3.3. EXACT_CN (EMAIL)

This transformation function obtains a half width capitalized letters email string

for exact match.


Convert full width to half width + Forces upper case


+

Example:

From:@oracle.Com

To: [email protected]

3.1.2.3.4. CLEANSE_CN (NUMBER)

This transformation function remove all the characters besides number to

recognize duplication of attributes that should contains numeric characters only

such as phone number.


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Remove nonnumeric characters; Convert full width to half width


Example:

From: 86-10-82786000 001

To: 861082786000001

3.1.2.3.5. CLEANSE_CN (ID NUMBER)

This transformation function remove all the characters besides number to

recognize duplication of attributes that should contains numeric characters, and

then convert new type Chinese ID Number to old type Chinese ID number.


Convert new type Chinese ID Number to old type Chinese ID number.


1815

Example:

From: 51272819491001001X

To: 512728491001001

3.1.2.3.6. CLEANSE_CN (URL)

This transformation function tries to obtain a critical string from a URL string by

means of the following operations.


Convert full width to half width; Replace non-alphanumeric characters with

white space + Keep first five words + Domain name word replacement +

Remove vowels and double letters


+ + +

+

Example:

From: http://www.oracle.com

To: ORCL

3.1.2.3.7. CLEANSE_CN (PHONE)

This transformation function removes the 0 from in front of a numeric string.


Remove nonnumeric characters; Convert full width to half width; Remove all

"0" in front of the string.


0 Example:

From: (010)


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To: 10

3.1.2.3.8. CLEANSE_CN (EMAIL)

This transformation function tries to catch incorrect vowel usage and typing

errors as well as mistakes with domain names.


Convert full width to half width; Replace non-alphanumeric characters withwhite space + Domain name word replacement + Remove vowels and double

letters


+ + +

Example:

From:@oracle.Com

To: CDC ORCL

3.1.2.3.9. CLEANSE_CN (PROVINCE)

This transformation function replaces various kinds of province names to

standard abbreviations.


Replaces various kinds of province names with standard abbreviations.


Example:

From:

To:

3.1.2.3.10. CLEANSE_CN (CITY)

This transformation function removes the words with the same meaning as City

from a string.


Removes the words with the same meaning as City from a string.


Example:

From:

To:

3.1.2.3.11. CLEANSE_CN (COUNTY DISTRICT)

This transformation function removes the words with the same meaning as

County and district from a string.



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Removes the words with the same meaning as County and district from a

string.


Example:

From:

To:

3.1.2.3.12. REVERSE (PHONE)

This transformation function reverses the numeric characters so that the detail

phone number without area codes can be recognized.


Reverses the Phone Number and then compares the information.


Example:

From: 86-10-82786123

To: 3216872

3.1.2.3.13. FORMAT TO NUMBER

This transformation function replaces non-numeric characters to single '-'.


Replaces non alphanumeric characters to single '-'


'-'

Example:

From:

To: 14-1-2-A

3.1.2.3.14. CORE DOMAIN EXTRACTION CN

This transformation function tries to extract the core domain of e-mail addresses

and ignore ISP e-mail domains.


Extracts core domain of e-mail address


Example:

From: [email protected]

To: ORACLE.CO.UK (if CO.UK is an E-Mail Domain Suffixes lookup

code and not included in the ISP E-Mail Domains lookup type) CO.UK (if

the input does not match codes in either lookup type)

3.1.2.3.15. FULL DOMAIN EXTRACTION CN


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From:

To:

3.1.2.3.19. WR ORG NICKNAME

Usually, an organization has got a standard name, while people often use a

nickname instead because the later one is shorter or easy to memorize. This

transformation function tries to replace differences of nickname with its standard

name.


Organization name word replacement


Example:

From:Oracle

To:

3.1.2.3.20. WR ORG TYPE+NICKNAME

This transformation function is an enhancement of WR_ORG_TYPE and

WR_ORGNICKNAME, which colligate the two together.


Remove the legal organization types; Organization name word replacement


+

Example:From:Oracle

To:

3.1.2.3.21. WR ORG TYPE+REGION+BRANCH

Some companies have branch offices in different areas or different fields. This

transformation function try to recognize these branch offices, while as

prerequisites the organization types and regions need to be recognized.


Remove the legal organization types, Administrative Region and branchoffices


Example:

From:Oracle

To: ORACLE

3.1.2.3.22. WR ORG TYPE+REGION+BRANCH+NICKNAME

This transformation function add the ability of replacing nickname to WR ORG

TYPE+REGION+BRANCH for more capable of recognizing duplicated

organization names.


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Remove the legal organization types, Administrative Region and branch

offices; Organization name word replacement


+

Example:

From:Oracle

To:

3.1.2.3.23. WR ORG TYPE+REGION+BIZ+BRANCH

In Chinese context the Business or Industry suffixes of an organization name can

be in various formats that mean the same. This transformation function removes

these suffixes from an organization name that is processed by WR ORG

TYPE+REGION+BRANCH function.


Remove the legal organization types, Administrative Region, Branch offices

and Business or Industry


Example:

From:Oracle

To: ORACLE

3.1.2.3.24. WR ORG TYPE+REGION+BIZ+BRANCH+NICKNAME

This transformation function is an overall integration of the functions above,

which provide more powerful capability of duplication recognizing.


Remove the legal organization types, Administrative Region and branch

offices; Organization name word replacement


+

Example:

From:Oracle

To:

3.1.2.3.25. WR PURGE REGION

This transformation function tries to purge region above city and county level

form an address string.


Purge province, city and county level region name from an address string.


Example:


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From:

To: 1314

3.1.2.3.26. WR TRADITION TO SIMPLIFY

This transformation function replaces traditional Chinese characters with

simplified Chinese characters.


Replaces traditional Chinese characters with simplified Chinese characters


Example:

From:

To:

3.1.2.4. Seeded Chinese Specific Match rules

The Chinese match rules will be constructed mainly based on real Chinese customer

requirements and seed English ones. We provide a lot of generic seeded match rules

that you can use or base your custom match rules on.

There are three types of match rule: Search, Expanded Duplicate Identification and

Bulk Duplicate Identification. Other Oracle applications that implement DQM can

use the Search type match rules for identifying duplicates of entered or updated party

information as well as these match rules for search. You can use the seeded Expanded

Duplicate Identification type match rules for batch duplicate identification to identify

duplicates that currently exist within your TCA registry. And you can use the Bulk

Duplicate Identification match rules to identify duplicates when you bulk import data.

For more information about match rules, seeAppendix A: Seeded Chinese Specific

Match Rules.

3.1.2.4.1. SAMPLE: SEARCH CN


Extensive online search based on commonly used attributes for Simplified

Chinese


3.1.2.4.2. HZ_PERSON_ADVANCED_SEARCH_MATCH_RULE_CN


HZ: Person Advanced Search Match Rule for Simplified Chinese


HZ

3.1.2.4.3. HZ_PERSON_SIMPLE_SEARCH_RULE_CN


HZ: Person Simple Search Match Rule for Simplified Chinese


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HZ

3.1.2.4.4. HZ_ORG_ADV_SEARCH_RULE_CN


HZ: Organization Advanced Search Match Rule for Simplified Chinese

Description in Chinese:HZ

3.1.2.4.5. HZ_ORG_SIMPLE_SEARCH_RULE_CN


HZ: Organization Simple Search Match Rule for Simplified Chinese


HZ

3.1.2.4.6. DL SMART SEARCH CN


Rule used for Smart Search in Data Librarian for Simplified Chinese


3.1.2.4.7. SAMPLE: IDENTICAL_PERSON_CN


Finds identical person parties for Simplified Chinese


3.1.2.4.8. SAMPLE: IDENTICAL_ORGANIZATION_CN


Finds identical Organization Parties for Simplified Chinese


3.1.2.4.9. SAMPLE: SIMILAR_ORGANIZATION_CN


Finds duplicate organizations that have similar names, address, contacts or

contact points for Simplified Chinese


3.1.2.4.10. SAMPLE: SIMILAR_PERSON_CN


Finds duplicate organizations that have similar names, address, or contact

points for Simplified Chinese



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3.1.2.4.11. DL SYSTEM DUPLICATE IDENTIFICATION


Rule used for System Duplicate Identification in de-duplication for

Simplified Chinese


3.1.2.4.12. BULK MATCH: IDENTICAL ORGANIZATIONS CN


Bulk Duplicate Identification match rule to identify organization matches for

Simplified Chinese


3.1.2.4.13. BULK MATCH: IDENTICAL PERSONS CN


Bulk Duplicate Identification match rule to identify person matches for

Simplified Chinese


3.1.3. Product Dependencies

DQM Globalization enhancement HZ.11i.N (3618299)

No DQM customization.

3.1.4. Third Party Integration Points

No update in DQM Localization

3.1.5. Terminology

Term Definition


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Appendix A: Seeded Chinese Specific Match Rules

DQM Localization will provide 13 seeded Chinese specific match rules that you can use or base

your custom match rules on. Also you can use seeded English match rules depending on your

business needs.

You must run the DQM Compile All Rules Program before you can use seeded match rules.

See also: Seeded Match Rules, Oracle Trading Community Architecture Reference Guide

SAMPLE: SEARCH CN

Description in English: Extensive online search based on commonly used attributes for

Simplified Chinese


Purpose:Search

Automerge:No

Attribute Match: Match All Attributes

Acquisition

This table shows the seeded attributes and transformation functions for the acquisition part of

the matching process.

Attribute

Name

Entity Filter Transformation Name

Name Party No WR ORG TYPE+REGION+BRANCH+NICKNAME

WR CHINESE PINYIN

WR PERSON

Address Address No Purge Region

City Address No CLEANSE CITY

Province Address No CLEANSE PROVINCE

Contact Name Contact No WR PERSON

Phone

Number

Contact

Point

No REVERSE

e-mail

Address

Contact

Point

No CLEANSE_CN (EMAIL)

Scoring

This table shows the seeded thresholds for the scoring part of the matching process.


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Threshold Value

Match Threshold 100

Override Threshold

Automatic Merge

Threshold

This table shows the seeded attributes and transformation functions for the scoring part of the

matching process.

Attribute

Name

Entity Score Transformation Name Weight

(%)

Type Simila

rity

(%)

Name Party 50 EXACT_CN 100 Exact

WR ORG TYPE+NICKNAME 90 Exact

WR ORG

TYPE+REGION+BRANCH+NI

CKNAME

50 Exact

Address Address 60 EXACT_CN 100 Exact

Purge Region 70 Exact

City Address 30 CLEANSE CITY 100 Exact

Province Address 20 CLEANSE PROVINCE 100 Exact

Contact

Name

Contact 40 EXACT_CN 100 Exact

WR PERSON 90 Exact

WR CHINESE PINYIN 70 Exact

Phone

Number

Contact

Point

80 CLEANSE_CN (NUMBER) 100 Exact

REVERSE Exact

e-mail

Address

Contact

Point

80 EXACT_CN (EMAIL) 100 Exact

CLEANSE_CN (EMAIL) 80 Exact


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HZ_PERSON_ADVANCED_SEARCH_MATCH_RULE_CN

Description in English: HZ: Person Advanced Search Match Rule for Simplified Chinese


Purpose:Search

Automerge:No

Attribute Match: Match Any Attributes

Acquisition



Attribute

Name


Name Party No WR PERSON

WR CHINESE PINYIN

Registry ID Party No EXACT CN

Account

Number

Party No EXACT (NUMBER)

Personal

Identification

Party No CLEANSE_CN (ID NUMBER)

Address Address No Format to Number


Postal Code Address No EXACT_CN


Country Address No EXACT

Job Title Contact No EXACT_CN

Phone

Number

Contact

Point

No REVERSE

e-mail

Address

Contact

Point


Scoring



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Threshold Value

Match Threshold 100

Override Threshold

Automatic Merge

Threshold


matching process.

Attribute

Name

Entity Score Transformation Name Weigh

t (%)

Type Similar

ity (%)


WR PERSON 90 Exact


Registry ID Party 60 EXACT CN 100 Exact

Account

Number

Party 60 EXACT (NUMBER) 100 Exact

Personal

Identification

Party 100 CLEANSE_CN (ID

NUMBER)

100 Exact


Format to Number 70 Exact


Postal Code Address 40 EXACT_CN 100 Exact


Country Address 20 EXACT 100 Exact

Job Title Contact 40 EXACT_CN 100 Exact

Phone Number Contact

Point

60 CLEANSE_CN

(NUMBER)

100 Exact

REVERSE 80

e-mail Address Contact

Point



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HZ_PERSON_SIMPLE_SEARCH_RULE_CN

Description in English: HZ: Person Simple Search Match Rule for Simplified Chinese


Purpose:Search

Automerge:No


Acquisition



Attribute

Name



WR CHINESE PINYIN

Registry ID Party No EXACT

Account

Number


Job Title Contact No EXACT_CN

Phone

Number

Contact

Point

No REVERSE

e-mail

Address

Contact

Point


Scoring


Threshold Value

Match Threshold 100

Override Threshold

Automatic Merge

Threshold


matching process.


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Attribute

Name


(%)

Type Similar

ity (%)


WR PERSON 90 Exact


Registry

ID

Party 100 EXACT 100 Exact

Account

Number


Job Title Contact 20 EXACT_CN 100 Exact

PhoneNumber

ContactPoint

80 CLEANSE_CN(NUMBER) 100 Exact

REVERSE 80 Exact

e-mail

Address

Contact

Point



HZ_ORG_ADV_SEARCH_RULE_CN

Description in English: HZ: Organization Advanced Search Match Rule for Simplified Chinese

Description in Chinese: HZ

Purpose:Search

Automerge:No


Acquisition



Attribute

Name


Name Party No WR ORG

TYPE+REGION+BIZ+BRANCH+NICKNAME


Account Party No EXACT (NUMBER)


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Number

Taxpayer ID Party No EXACT_CN

Address Address No Format to Number


URLContact

PointNo CLEANSE_CN (URL)

Scoring


Threshold Value

Match Threshold 60

Override Threshold

Automatic Merge

Threshold


matching process.

Attribute

Name


(%)

Type Simila

rity

(%)



WR ORG


CKNAME

50 Exact

Registry

ID

Party 60 EXACT 100 Exact

Account

Number


Taxpayer

ID

Party 60 EXACT_CN 100 Exact




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Postal

Code

Address 40 EXACT_CN 100 Exact

Province Address 20 EXACT_CN 100 Exact

CLEANSE PROVINCE 100 Exact


Phone

Number

Contact

Point

60 CLEANSE_CN (NUMBER) 100 Exact

URLContact

Point60 CLEANSE_CN (URL) 100 Exact

HZ_ORG_SIMPLE_SEARCH_RULE_CN

Description in English: HZ: Organization Simple Search Match Rule for Simplified Chinese

Description in Chinese: HZ

Purpose:Search

Automerge:No


Acquisition

This table shows the seeded attributes and transformation functions for the acquisition part ofthe matching process.

Attribute

Name



TYPE+REGION+BIZ+BRANCH+NICKNAME


Account

Number


Taxpayer ID Party No EXACT_CN

URLContact

PointNo CLEANSE_CN (URL)

Scoring



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Attribute

Name


Name Party No WR ORG TYPE+REGION+BRANCH+NICKNAME

WR CHINESE PINYIN

WR PERSON


Tax

Registration

Num

Party No EXACT CN

Personal

Identification


Party Type Party No EXACT




Country Address No EXACT

Scoring


Threshold Value

Match Threshold 100

Override Threshold

Automatic Merge

Threshold


matching process.

Attribute

Name


(%)

Type Simil

arity

(%)




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WR ORG

TYPE+REGION+BRANCH+N

ICKNAME

80 Exact


WR PERSON 90 Exact

Registry ID Party 100 EXACT Exact

Tax

Registration

Num

Party 100 EXACT CN Exact

Personal

Identification

Party 100 CLEANSE_CN (ID NUMBER) Exact

Party Type Party 10 EXACT Exact






SAMPLE: IDENTICAL_PERSON_CN

Description in English: Finds identical person parties for Simplified Chinese


Purpose:Expanded Duplicate Identification

Automerge:No


Acquisition



Attribute Name Entity Filter Transformation

Name

Party Type Party Yes EXACT

Personal

Identification

Party No CLEANSE_CN (ID

NUMBER)


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Point

No REVERSE

E-Mail Address Contact

Point

No CLEANSE_CN

(EMAIL)

Scoring


Threshold Value

Match Threshold 60

Override Threshold

Automatic Merge

Threshold


matching process.

Attribute

Name


(%)

Type Similar

ity (%)

Personal

Identification


NUMBER)

100 Exact


Point

80 CLEANSE_CN

(NUMBER)

100 Exact

REVERSE 80 Exact

E-Mail

Address

Contact

Point



SAMPLE: IDENTICAL_ORGANIZATIONS_CN

Description in English: Finds identical Organization Parties for Simplified Chinese



Automerge:No


Acquisition




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Number

SAMPLE: SIMILAR_ORGANIZATION_CN

Description in English: Finds duplicate organizations that have similar names, address,

contacts or contact points for Simplified Chinese



Automerge:No


Acquisition



Attribute Name Entity Filter Transformation Name


TYPE+REGION+BRANCH+NICKNAME

Tax Registration

Num

Party No EXACT CN

DUNS Number Party No EXACT CN

Address Address No PURGE REGION

Postal Code Address No EXACT CN

Phone Number

Flexible Format

Contact

Point

No CLEANSE_CN (NUMBER)

REVERSE

Contact Name Contact No WR CHINESE PINYIN

WR PERSON

Scoring


Threshold Value

Match Threshold 100

Override Threshold


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Automatic Merge

Threshold


matching process.

Attribute

Name


(%)

Type Simila

rity

(%)

Name Party 50 EXACT CN 100 Exact

WR ORG

TYPE+NICKNAME

90 Exact

WR ORG

TYPE+REGION+BRANC

H+NICKNAME

70 Exact

Tax

Registration

Num

Party 100 EXACT CN 100 Exact

DUNS

Number

Party 100 EXACT CN 100 Exact

Address Address 60 EXACT CN 100 Exact

PURGE REGION 80 Exact

Postal Code Address 20 EXACT CN 100 Exact

Contact Name Contact 30 EXACT CN 90 Exact


WR PERSON 90 Exact

Phone Number

Flexible

Format

Contact

Point

65 CLEANSE_CN

(NUMBER)

100 Exact

REVERSE 100 Exact

SAMPLE: SIMILAR_PERSON_CN

The SAMPLE: SIMILAR_PERSON_CN match rule identifies duplicate parties of type

Description in English: Finds duplicate persons that have similar names, address, or contact

points for Simplified Chinese


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Automerge:No


Acquisition




Name Party No WR CHINESE PINYIN

WR PERSON

Personal Identification Party No CLEANSE_CN (ID NUMBER)



E-Mail Address Contact Point No CLEANSE_CN (EMAIL)

Scoring


Threshold Value

Match Threshold 100

Override Threshold

Automatic Merge

Threshold


matching process.

Attribute

Name


(%)

Type Similar

ity (%)


WR PERSON 80 Exact


Personal

Identification


NUMBER)

100 Exact


36/41

E-Mail Address Contact

Point


CLEANSE_CN

(EMAIL)

80 Exact

Phone Number

Flexible Format

Contact

Point

65 CLEANSE_CN

(NUMBER)

100 Exact



Postal Code Address 20 EXACT CN 100 Exact

DL SYSTEM DUPLICATE IDENTIFICATION CN

Description in English: Rule used for System Duplicate Identification in de-duplication for

Simplified Chinese



Automerge:No


Acquisition

This table shows the seeded attributes and transformation functions for the acquisition part ofthe matching process.



TYPE+REGION+BRANCH+NICKNAME

WR PERSON

WR CHINESE PINYIN



Tax Registration

Num

Party No EXACT_CN

Personal

Identification


Address Address No PURGE REGION


37/41



Country Address Yes EXACT

URL

Contact

Point

No CLEANSE_CN (URL)

Scoring


matching process.

Attribute

Name


(%)

Type Simil

arity

(%)



WR ORG


CKNAME

70 Exact

WR PERSON 90 Exact


Registry ID Party 100 EXACT CN 100 Exact

Tax

Registration

Num

Party 100 EXACT_CN 100 Exact

Personal

Identification

Party 100 CLEANSE_CN (ID NUMBER) 100 Exact





Threshold



38/41

Threshold Value

Match Threshold 100

Override Threshold

Automatic Merge

Threshold

BULK MATCH: IDENTICAL ORGANIZATIONS CN

Description in English: Bulk Duplicate Identification match rule to identify organization

matches for Simplified Chinese


Purpose:Bulk Duplicate Identification

Automerge:No


Acquisition




Name Party No WR ORG TYPE+NICKNAME


DUNS Number Party No EXACT CN

Tax Registration Num Party No EXACT CN

Address Address No EXACT CN



Contact Name Contact No WR PERSON

URL Contact

Point

No CLEANSE_CN (URL)

Raw Phone Number Contact

Point

No REVERSE (PHONE)

Scoring


39/41


40/41

Format

REVERSE (PHONE) 80 Exact

BULK MATCH: IDENTICAL PERSONS CN

Description in English: Bulk Duplicate Identification match rule to identify person matches for

Simplified Chinese


Purpose:Bulk Duplicate Identification

Automerge:No


Acquisition






Personal Identification Party No CLEANSE_CN (ID NUMBER)

Personal Identification

Type

Party Yes EXACT CN


Postal Code Address Yes EXACT CN


Email Address Contact

Point

No EXACT_CN (EMAIL)

Raw Phone Number Contact

Point

No REVERSE (PHONE)

CLEANSE_CN (PHONE)

Scoring


Threshold Value

Match Threshold 175


41/41

Override Threshold

Automatic Merge

Threshold

250


matching process.

Attribute

Name


(%)

Type Simila

rity

(%)


WR PERSON 90 Exact

Personal

Identification


NUMBER)

100 Exact


Purge Region 80 Exact



Country Address 5 CLEANSE_CN

(COUNTRY)

100 Exact

Email Address Contact

Point



Phone Number

Flexible Format

Contact

Point

70 CLEANSE_CN (PHONE) 100 Exact

REVERSE (PHONE) 100 Exact