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Czech, Czech Republic Definitions

Definitions for the Czech, Czech Republic locale are described below.

Case Definitions
Gender Analysis Definitions

Identification Analysis Definitions

Match Definitions

Parse Definitions

Pattern Analysis Definitions

Standardization Definitions

Inherited Definitions

Case Definitions

Proper (Address)
Description The Case definition for Proper (Address) propercases addresses.
  Input Output
Examples Nám. Svobody 5 181 nám. Svobody 5 181
K.Ú. Vnorovice 6 k.ú. Vnorovice 6
Partyzánské Náměstí 1738/3,2 Partyzánské náměstí 1738/3,2
zahr.Kolonie Č. 8/1 Zahr.kolonie č. 8/1
čsl.armády 513 ČSL.armády 513
Remarks  

 

Proper (City - State/Province - Postal Code)
Description The Case definition for Proper (City - State/Province - Postal Code) propercases address last line data.
  Input Output
Examples 25246 VRANÉ NAD VLTAVOU 25246 Vrané nad Vltavou
33805 MÝTO V ČECHÁCH 33805 Mýto v Čechách
Remarks  

 

Proper (Name)
Description The Case definition for Proper (Name) propercases names of individuals.
  Input Output
Examples LADISLAV HASTERMAN Ladislav Hasterman
p. j. ceslova p. J. Ceslova
SL. Veronika Balážová sl. Veronika Balážová
PHARMDR. Elena Jedináková PharmDr. Elena Jedináková
JAN VAN DE BRINK Jan van de Brink
Remarks  

 

Proper (Organization)
Description The Case definition for Proper (Organization) propercases organization names.
  Input Output
Examples AGENTÚRA NEXON s.r.o Agentúra Nexon s.r.o
ibm s.r.o. IBM s.r.o.
DELL S.R.O. Dell s.r.o.
gbh Trade s.r.o. GBH Trade s.r.o.
AUTO A ČESKÁ REPUBLIKA Auto A Česká republika
Remarks  

Gender Analysis Definitions

Birth Number
Description The Gender Analysis definition for Birth Number determines the gender of a name based on birth number.
Possible Outputs M
F
U
  Input Output
Examples 535731 - 456 F
936223/6147 F
530731456 M
010524/472 M
128399/5616 U
12.09.1956 U
Remarks This Gender Analysis definition for Birth Number requires the input data to be in the form of YYMMDDOOO, where YY is year of birth, MM is month of birth, DD is day of birth, and OOO is Order Number. Order Number can consist of three- or four-digits. Gender is determined by the month of birth. Values 01 through 12 are male, and values 51 through 62 are female.

 

Name
Description The Gender Analysis definition for Name determines the gender of a name.
Possible Outputs M
F
U
  Input Output
Examples Anna-Mária Hrušková F
Katarína M F
Zuzana F
Jozef M
Peter Zelený M
B. L. U
P K U
Remarks  

Identification Analysis Definitions

Individual/Organization
Description The Identification Analysis definition for Individual/Organization determines whether a string represents the name of an individual or an organization.
Possible Outputs INDIVIDUAL
ORGANIZATION
UNKNOWN
  Input Output
Examples Dalibor Chadima INDIVIDUAL
Chadima, sro ORGANIZATION
D.C. UNKNOWN
Remarks  

Match Definitions

Address
Description The Address match definition generates match codes which can be used to cluster records containing addresses.
Max Length of Match Code 30 characters
  Input Cluster ID
Examples GEN. SVOBODU 691/19, po box 82 0
Generála Svobodu 691/15 POBOX 82 0
Generála Svobodu 691 POBOX 82 0
p.o. box 82, Generala Svobodu 691/155 0
P O Box 82 1
Generala Svobodu 691 2
ul. Republiky 33 p box 50 3
Ulica Republiky 33, box 50 3
Nam. Republiky 33 pob 50/B 3
Ulica Republiky 33 4
p box č. 50 5
Remarks

NoteNote: The results listed above reflect the default match sensitivity (85).

 

Address (PO Box Only)
Description The Address (PO Box Only) match definition generates match codes which can be used to cluster records containing the PO Box portion of an address.
Max Length of Match Code 15 characters
  Input Cluster ID
Examples GEN. SVOBODU 691/19, po box 82 0
POBOX 82 0
p.o. box 82, Generala Svobodu 691/155 0
P O Box 82 0
P O Box 83 1
ul. Republiky 33 p box 50 2
box 50 2
pob 50/B 2
p box č. 50 2
Remarks

NoteNote: The results listed above reflect the default match sensitivity (85).

 

Address (Street Only)
Description The Address (Street Only) match definition generates match codes which can be used to cluster records containing the street portion of an address.
Max Length of Match Code 25 characters
  Input Cluster ID
Examples GEN. SVOBODU 691/19, po box 82 0
Generála Svobodu 691/15 POBOX 82 0
Generála Svobodu 691 POBOX 28 0
Generala Svobodu 691/155 0
Generala Svobodu 619 1
ul. Republiky 33 p box 50 2
Ulica Republiky 33, box 55 2
Nam. Republiky 33/B 2
Remarks

NoteNote: The results listed above reflect the default match sensitivity (85).

 

City
Description The City match definition generates match codes which can be used to cluster records containing city names.
Max Length of Match Code 15 characters
  Input Cluster ID
Examples Rovensko pod Troska 0
Rovensko pod Trosk. 0
Hrob 1
Remarks

NoteNote: The results listed above reflect the default match sensitivity (85).

 

City - State/Province - Postal Code
Description The City - State/Province - Postal Code match definition generates match codes which can be used to cluster records containing last line address information.
Max Length of Match Code 17 characters
  Input Cluster ID
Examples 61900 Brno 19 0
61900 BRNO 0
70200 Ostrava 1
Remarks

NoteNote: The results listed above reflect the default match sensitivity (85).

 

Name
Description The Name match definition generates match codes which can be used to cluster records containing names of individuals.
Max Length of Match Code 20 characters
  Input Cluster ID
Examples Jozef Klement 0
Jožo Klement 0
Dodo Kliment 0
Adriana Hudecova 1
Adriána Hudecová 1
Jan v/d Brink 2
Jan van de Brink 2
Jan vd. Brink 2
Anna M. Sedláková 3
Anna Maria Sedláková 3
Anna-Maria Sedláková 3
Remarks

NoteNote: The results listed above reflect the default match sensitivity (85).

 

Organization
Description The Organization match definition generates match codes which can be used to cluster records containing organization names.
Max Length of Match Code 40 characters
  Input Cluster ID
Examples A-PROGRES S.R.O. 0
A-Progres s.r.o. 0
CALIPSO v.o.s. 1
CALIPSO, veřejná obchodní společnost 1
CALIPSO 1
Asociácia Vydaveteľov a.s. 2
Asociáciu Vydavateľov a.s. 2
Asoc. Vydaveteľov a.s. 2
1. Garantovaná, a.s. 3
1st Garantovaná, a.s. 3
První Garantovaná, a.s. 3
2 DOMY, bytové družstvo 4
DVA DOMY, bytové družstvo 4
Remarks

NoteNote: The results listed above reflect the default match sensitivity (85).

 

Phone
Description The Phone match definition generates match codes which can be used to cluster records containing phone numbers.
Max Length of Match Code 17 characters
  Input Cluster ID
Examples 800 PRÁZDNINY 0
800 772 936 0
+420 226 026 424 1
226 026 424 1
+682 35664897 2
+683 35664897 3
224 310 808 Kl. 1234 4
224 310 808 Kl. 5678 4
228 866 624 5
228 866 625 5
228 866 636 6
Remarks

NoteNote: The results listed above reflect the default match sensitivity (85).

 

Postal Code
Description The Postal Code match definition generates match codes which can be used to cluster records containing postal codes.
Max Length of Match Code 15 characters
  Input Cluster ID
Examples 61900 0
-61900 0
15000 1
Remarks

NoteNote: The results listed above reflect the default match sensitivity (85).

 

Text
Description The Text match definition generates match codes which can be used to cluster records containing general text strings.
Max Length of Match Code 20 characters
  Input Cluster ID
Examples počítač Dell 0
POČÍTAČE DELL 0
Remarks

NoteNote: The results listed above reflect the default match sensitivity (85).

Parse Definitions

Address
Description The Parse definition for Address parses addresses into a set of tokens.
Output Tokens Building Name
Building Number
Street
Extension
Additional Info
  Input Output
Example 1 Janovičky 11, P.O.BOX 36 Building Name  
Building Number 11
Street Janovičky
Extension P.O.BOX 36
Additional Info  
  Input Output
Example 2 1. máje - Areál garáží Building Name  
Building Number  
Street 1. máje
Extension  
Additional Info Areál garáží
  Input Output
Example 3 Hájenka Metel - Nítovice 56 Building Name Hájenka Metel
Building Number 56
Street Nítovice
Extension  
Additional Info  
Remarks

 

Address (Global)
Description

The Address (Global) parse definition parses addresses into a globally recognized set of tokens.

Output Tokens Recipient
Building/Site
Street
Extension
PO Box
Additional Info
  Input Output
Example 1 Janovičky 11, P.O.BOX 36 Recipient  
Building/Site  
Street Janovičky 11
Extension  
PO Box P.O.BOX 36
Additional Info  
  Input Output
Example 2 1. máje - Areál garáží Recipient  
Building/Site  
Street 1. máje
Extension  
PO Box  
Additional Info Areál garáží
  Input Output
Example 3 Hájenka Metel - Nítovice 56 Recipient  
Building/Site Hájenka Metel
Street Nítovice 56
Extension  
PO Box  
Additional Info  
Remarks Parse definitions named with the Global keyword use a set of output tokens that is consistent across every locale. Results obtained from these definitions can be stored in the same database fields as the results obtained from definitions of the same name in other locales.

The Address (Global) (v23) parse definition is now deprecated and will be removed in a future release of the QKB.

The Address (Global) parse definition has been replaced with a copy of the Address (Global) (v23) definition which takes advantage of the new tokens and updated processing. If you changed your jobs to use Address (Global) (v23) it is suggested that you change them back.

 

Address (Global) (v23)
Description

The Address (Global) (v23) parse definition parses addresses into a globally recognized set of tokens.

Output Tokens Recipient
Building/Site
Street
Extension
PO Box
Additional Info
  Input Output
Example 1 Janovičky 11, P.O.BOX 36 Recipient  
Building/Site  
Street Janovičky 11
Extension  
PO Box P.O.BOX 36
Additional Info  
  Input Output
Example 2 1. máje - Areál garáží Recipient  
Building/Site  
Street 1. máje
Extension  
PO Box  
Additional Info Areál garáží
  Input Output
Example 3 Hájenka Metel - Nítovice 56 Recipient  
Building/Site Hájenka Metel
Street Nítovice 56
Extension  
PO Box  
Additional Info  
Remarks Parse definitions named with the Global keyword use a set of output tokens that is consistent across every locale. Results obtained from these definitions can be stored in the same database fields as the results obtained from definitions of the same name in other locales.

The Address (Global) (v23) parse definition is now deprecated and will be removed in a future release of the QKB.

The Address (Global) parse definition has been replaced with a copy of the Address (Global) (v23) definition which takes advantage of the new tokens and updated processing. If you changed your jobs to use Address (Global) (v23) it is suggested that you change them back.

 

Birth Number
Description The Parse definition for Birth Number parses birth numbers into a set of tokens.
Output Tokens Year of Birth
Month of Birth
Day of Birth
Order Number
Additional Info
  Input Output
Example 1 535731/456 Year of Birth 53
Month of Birth 57
Day of Birth 31
Order Number 456
Additional Info  
  Input Output
Example 2 9312236076 Year of Birth 93
Month of Birth 12
Day of Birth 23
Order Number 6076
Additional Info  
  Input Output
Example 3 084053/2524 Year of Birth 0 8
Month of Birth 4 0
Day of Birth 5 3
Order Number 2 5 2 4
Additional Info  
Remarks This Parse definition for Birth Number requires the input data to be in the form of YYMMDDOOO where YY is year of birth, MM is month of birth, DD is day of birth, and OOO is order number, which consists of three-digits if the birth year is before 1954 and four-digits if later than 1954. Month of birth values 01 through 12 are male and 51 through 62 are female.

If the input string does not contain a correctly formatted birth number, the output has a NO SOLUTION parse result and is parsed based on the order of the input digits, as shown in Example 3, with spaces between the digits.

The recommended procedure is to first determine if the input string can be parsed correctly, then apply parsing to the correctly formatted input data only. To determine if the formatting is correct, you can do either of the following:

1. In the Parse node, assign a Result Code field to capture whether a solution was found. Process output with NO SOLUTION results separately.

2. Run Gender Analysis on the input string using the Gender Analysis definition for Birth Number. Input strings that get U (Unknown) results cannot be parsed as a correctly formatted birth number.

 

City - State/Province - Postal Code
Description The Parse definition for City - State/Province - Postal Code parses address last line data into a set of tokens.
Output Tokens City
Postal Code
  Input Output
Example 15000 Praha 5 City Praha 5
Postal Code 15000
Remarks  

 

City - State/Province - Postal Code (Global)
Description The Parse definition for City - State/Province - Postal Code (Global) parses address last line data into a globally recognized set of tokens.
Output Tokens City
State/Province
Postal Code
Additional Info
  Input Output
Example 15000 Praha 5 City Praha 5
State/Province  
Postal Code 15000
Additional Info  
Remarks Parse definitions named with the Global keyword use a set of output tokens that is consistent across every locale. Results obtained from these definitions can be stored in the same database fields as the results obtained from definitions of the same name in other locales.

 

Name
Description The Parse definition for Name parses names of individuals into a set of tokens.
Output Tokens Prefix
Title
Given Name
Family Name
Suffix
Additional Info
  Input Output
Example Mgr. Lukáš Dzurinda PhD. Prefix  
Title Mgr.
Given Name Lukáš
Family Name Dzurinda
Suffix PhD.
Additional Info  
Remarks  

 

Name (Global)
Description The Parse definition for Name (Global) parses names of individuals into a globally recognized set of tokens.
Output Tokens Prefix
Given Name
Middle Name
Family Name
Suffix
Title/Additional Info
  Input Output
Example Mgr. Lukáš Dzurinda PhD. Prefix Mgr.
Given Name Lukáš
Middle Name  
Family Name Dzurinda
Suffix  
Title/Additional Info PhD.
Remarks

Parse definitions named with the Global keyword use a set of output tokens that is consistent across every locale. Results obtained from these definitions can be stored in the same database fields as the results obtained from definitions of the same name in other locales.

 

Name (Multiple Name)
Description The Parse definition for Name (Multiple Name) parses strings that contain the names of two individuals into a set of tokens.
Output Tokens Name 1
Name 2
  Input Output
Example 1 Peter Kováč a Ivana Kováčová Name 1 Peter Kováč
Name 2 Ivana Kováčová
  Input Output
Example 2 Peter a Ivana Kováčovci Name 1 Peter Kováčovci
Name 2 Ivana Kováčovci
  Input Output
Example 3 Peter Tribula Name 1 Peter Tribula
Name 2  
Remarks Czech family names use feminine, masculine, and plural variations. Because of this, strings containing multiple names should be standardized with the Standardization definition for Name (Multiple Name) before being processed with the Parse definition for Name (Multiple Name). Without standardization, the results of the parse might show incorrect family name variations for individual names (see Example 2). If only one name is present in the input, the first token is used.

 

Organization
Description The Parse definition for Organization parses organization names into a set of tokens.
Output Tokens Name
Legal Form
Site
Additional Info
  Input Output
Example 1 PRIMA ZDROJ S.R.O., NOVÁ PAKA Name PRIMA ZDROJ
Legal Form Ivana Kováčová
Site NOVÁ PAKA
Additional Info  
  Input Output
Example 2 BP Trading s.r.o., Národní 42 Name BP Trading
Legal Form s.r.o.
Site  
Additional Info Národní 42
  Input Output
Example 3 Bobolovsky GmbH, Brno Name Bobolovsky`
Legal Form GmbH
Site Brno
Additional Info  
  Input Output
Example 4 Ví & Kej-V.Kirilova a spol. spol. s r.o.-org.sl. Name Ví & Kej-V.Kirilova a spol.
Legal Form spol. s r.o.
Site  
Additional Info org.sl.
Remarks  

 

Organization (Global)
Description The Parse definition for Organization (Global) parses organization names into a globally recognized set of tokens.
Output Tokens Name
Legal Form
Site
Additional Info
  Input Output
Example 1 PRIMA ZDROJ S.R.O., NOVÁ PAKA Name PRIMA ZDROJ
Legal Form Ivana Kováčová
Site NOVÁ PAKA
Additional Info  
  Input Output
Example 2 BP Trading s.r.o., Národní 42 Name BP Trading
Legal Form s.r.o.
Site  
Additional Info Národní 42
  Input Output
Example 3 Bobolovsky GmbH, Brno Name Bobolovsky
Legal Form GmbH
Site Brno
Additional Info  
  Input Output
Example 4 Ví & Kej-V.Kirilova a spol. spol. s r.o.-org.sl. Name Ví & Kej-V.Kirilova a spol.
Legal Form spol. s r.o.
Site  
Additional Info org.sl.
Remarks Parse definitions named with the Global keyword use a set of output tokens that is consistent across every locale. Results obtained from these definitions can be stored in the same database fields as the results obtained from definitions of the same name in other locales.

 

Phone
Description The Parse definition for Phone parses phone numbers into a set of tokens.
Output Tokens Country Code
Area Code
Base Number
Extension
Line Type
Additional Info
  Input Output
Example 1 Pracovný Telefón: +420 2 81002 383 linka 4629 (noci ao víkendu) Country Code +420
Area Code  
Base Number 2 81002 383
Extension 4629
Line Type Pracovný Telefón:
Additional Info (noci ao víkendu)
  Input Output
Example 2 5 4715 2700 (tel-fax) Country Code  
Area Code  
Base Number 5 4715 2700
Extension  
Line Type (tel-fax)
Additional Info  
  Input Output
Example 3 326 711 411 2 Country Code  
Area Code  
Base Number 326 711 411
Extension 2
Line Type  
Additional Info  
  Input Output
Example 4 +1 800-DATAFLUX Country Code +1
Area Code  
Base Number 800-DATAFLUX
Extension  
Line Type  
Additional Info  
Remarks  

 

Phone (Global)
Description The Parse definition for Phone (Global) parses phone numbers into a globally recognized set of tokens.
Output Tokens Country Code
Area Code
Base Number
Extension
Line Type
Additional Info
  Input Output
Example 1 Pracovný Telefón: +420 2 81002 383 linka 4629 (noci ao víkendu) Country Code +420
Area Code  
Base Number 2 81002 383
Extension 4629
Line Type Pracovný Telefón:
Additional Info (noci ao víkendu)
  Input Output
Example 2 5 4715 2700 (tel-fax) Country Code  
Area Code  
Base Number 5 4715 2700
Extension  
Line Type (tel-fax)
Additional Info  
  Input Output
Example 3 326 711 411 2 Country Code  
Area Code  
Base Number 326 711 411
Extension 2
Line Type  
Additional Info  
  Input Output
Example 4 +1 800-DATAFLUX Country Code +1
Area Code  
Base Number 800-DATAFLUX
Extension  
Line Type  
Additional Info  
Remarks Parse definitions named with the Global keyword use a set of output tokens that is consistent across every locale. Results obtained from these definitions can be stored in the same database fields as the results obtained from definitions of the same name in other locales.

Pattern Analysis Definitions

None.

Standardization Definitions

Address
Description The Standardization definition for Address standardizes addresses.
  Input Output
Examples Za Kněžským hájkem parcela č. 1461/283 za Kněžským Hájkem parc. č. 1461/283
2.ulice č. 78 2. ulice 78
P.O.Box 6-Počáply Počáply, P. O. Box 6
Remarks  

 

Birth Number
Description The Standardization definition for Birth Number standardizes birth numbers.
  Input Output
Examples 9312236076 931223/6076
530731456 530731/456
535731 - 456 535731/456
93-62-23/6147 936223/6147
Remarks This Birth Number standardization definition requires the input data to be in the form of YYMMDDOOO where YY is year of birth, MM is month of birth, DD is day of birth, and OOO is order number, which consists of three-digits if the birth year is before 1954 and four-digits if later than 1954. Month of birth values 01 through 12 are male and 51 through 62 are female.

The recommended procedure is to first determine if the input string is correctly formatted, then apply parsing to the correctly formatted input data only. To determine if the formatting is correct, do one of the following:

1. Parse the string using the Parse definition for Birth Number. Assign a Result Code Field in the Parse node in DataFlux Data Management Studio. Output with NO SOLUTION results is not formatted correctly and should be processed separately.

2. Run Gender Analysis on the input string using the Gender Analysis definition for Birth Number. Input strings that generate U (Unknown) results are not formatted correctly and should be processed separately.

 

City
Description The Standardization definition for City standardizes city names.
  Input Output
Examples F.MÍSTEK Frýdek-Místek
Č BUD České Budějovice
Remarks Common city abbreviations are expanded into full names.

 

City - State/Province - Postal Code
Description The Standardization definition for City - State/Province - Postal Code standardizes address last line data.
  Input Output
Examples 41501 Teplice v Č. 41501 Teplice v Čechách
16400 Praha - 619 16400 Praha 619
Remarks  

 

Name
Description The Standardization definition for Name standardizes names of individuals.
  Input Output
Examples mgr. art Eva Janošová ArtD. Mgr. art. Eva Janošová, ArtD.
rndr. Július Kusala Csc. RNDr. Július Kusala, CSc.
Peter Krempaský st. Peter Krempaský, starší
Tatevik Avnikjan - Ciháková Tatevik Avnikjan-Ciháková
Profesor Jirí Vácha prof. Jirí Vácha
Prof. Ing. Jakub Mláka PhD prof. Ing. Jakub Mláka, Ph.D.
Remarks  

 

Name (Multiple Name)
Description The Standardization definition Name (Multiple Name) standardizes input data that contains two names.
  Input Output
Examples Peter a Ivana Kováčovci Peter Kováč a Ivana Kováčová
Pan Peter a Paní Ivana Kováčovci Pan Peter Kováč a Paní Ivana Kováčová
Ivan a Ivana Svobodové Ivan Svoboda a Ivana Svobodová
Miroslav a Vladimíra Novotní Miroslav Novotný a Vladimíra Novotná
P A & I K Kováčovci P A Kováč a I K Kováčová
Peter Kováč, Ivana Kováčová Peter Kováč a Ivana Kováčová
Remarks This definition splits plural variations of Czech family names into individual feminine or masculine variations. It should be used to standardize strings containing multiple names before the Parse definition for Name (Multiple Name) is used to parse those strings. If the plural variation does not exist in the input string, the two names are simply separated, as shown in the final example.

 

Organization
Description The Standardization definition for Organization standardizes organization names.
  Input Output
Examples Calipso Veřejná obchodní společnost Calipso v.o.s.
EAS EUROPE Společnost s ručením omezeným EAS Europe s.r.o.
Omnia Motors, Akciová společnost Omnia Motors a.s.
TATRACHEMA Výrobní družstvo Tatrachema v.d.
H.B.T. Plast s r.o. HBT Plast s.r.o.
ADIX, s.r.o. (Brno) Adix s.r.o., Brno
Remarks  

 

Phone
Description The Standardization definition for Phone standardizes phone numbers for domestic use.
  Input Output
Examples 2 8 2 3 4 5 6 7 8 282 345 678
049/5500550 kl.1 495 500 550 x1
055-7296 266 (055) 7296266
244222908 (večery a víkendy) 244 222 908, Večery A Víkendy
0044 (0)20 12345000 +44 2012345000
Remarks  

 

Phone (Electronic)
Description The Standardization definition for Phone (Electronic) standardizes phone numbers for automated calling systems.
  Input Output
Examples Služ. Tel.: +420 2 81002 383 linka 4629 (středa a pátek) +420281002383
225.993.111 +420225993111
+420 2 61 19 52 83 +420261195283
00420/281097111 +420281097111
800 PRÁZDNINY +420800772936469
+1 (919) 447-3000 +19194473000
Remarks  

 

Phone (with Country Code)
Description The Standardization definition for Phone (with Country Code) standardizes phone numbers for international use.
  Input Output
Examples 225 993 111 +420 225 993 111
mobilní telefonní číslo: 607 978 806 +420 607 978 806, Mobilní Telefonní Číslo
+34(0922)-783-692 +34 922783692
5 3 2 8 2 3 4 6 7 +420 532 823 467
1 (919) 447-3000 +1 9194473000
Remarks  

 

Postal Code
Description The Standardization definition for Postal Code standardizes postal codes.
  Input Output
Examples -15000 15000
26000, 26000
Remarks  

Inherited Definitions

In addition to the definitions listed on this page, the Czech, Czech Republic locale also inherits all definitions for the Czech language and all Global definitions.