KR Postal Matching Process - trillium_discovery - trillium_quality - Latest

Trillium Control Center

Product type
Software
Portfolio
Verify
Product family
Trillium
Product
Trillium > Trillium Discovery
Version
Latest
Language
English
Product name
Trillium Quality and Discovery
Title
Trillium Control Center
Copyright
2024
First publish date
2008
Last updated
2024-10-18
Published on
2024-10-18T15:02:04.502478

The KR Postal Matcher uses a four-step process to identify and match postal information.

Note: The following examples are based on the 6-digit postal code system and not on the new 5-digit postal code system.

Step 1: Initial Parsing

The first step in the Postal Matching process isolates all words and phrases by breaking up the input attribute(s) into recognizable tokens. During the initial scan, the Postal Matcher uses commas or space characters in the input attribute to determine where one token ends and the next begins.

Example

Input record: 홍길동, 서울시 강남구대치동 973-2 3층, 135-280

Initial token results: (six tokens)

Token 1 Token 2 Token 3 Token 4 Token 5 Token 6
홍길동 서울시 강남구대치동 973-2 3층 135-280

Step 2: Table-Based Tokenizing

After initial tokens are created, the Postal Matcher scans each token against the Parser Definition tables to further identify the tokens. During this secondary identification process, all elements further identifiable via the Parser Definition entries are also separated into tokens.

Example

Step 3: Mask-Based Data Identification

Any token that remains unknown after the table look-up process is subsequently reviewed against a set of pre-defined masks (data shapes) in the Parser Definition table.

Example

For example, 1100000 is identified as a postcode based on pr_postcode: 1100000

1100000 pr_postcode: 1100000 Recognized as postcode based on mask lookup.

Step 4: Output to PREPOS

The Postal Matcher passes results of the data identification process to the PREPOS program. See Analyzing the Postal Matcher Results for Asian Countries.