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UN/CEFACT Reference Data Models (Semantic Models) Anticipating and Following Technological Trends in eBusiness Data Exchanges

UN/CEFACT Reference Data Models (Semantic Models) · UN/CEFACT Reference Data Models (Semantic Models) Anticipating and Following Technological Trends in eBusiness Data Exchanges

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Page 1: UN/CEFACT Reference Data Models (Semantic Models) · UN/CEFACT Reference Data Models (Semantic Models) Anticipating and Following Technological Trends in eBusiness Data Exchanges

UN/CEFACT

Reference Data Models (Semantic Models)Anticipating and Following Technological Trends

in eBusiness Data Exchanges

Page 2: UN/CEFACT Reference Data Models (Semantic Models) · UN/CEFACT Reference Data Models (Semantic Models) Anticipating and Following Technological Trends in eBusiness Data Exchanges

Content

This presentation will provide you information on:

• UN/CEFACT Reference Data Models (Semantic Models)

• Opportunities for standardisation organisations to utilize the new UN/CEFACT concept

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Page 3: UN/CEFACT Reference Data Models (Semantic Models) · UN/CEFACT Reference Data Models (Semantic Models) Anticipating and Following Technological Trends in eBusiness Data Exchanges

UN/CEFACT Reference Data Model:

• An exchange syntax neutral semantic model

• A subset of the UN/CEFACT Core Component Library (CCL)

• A rich collection of business artefacts contextualized for a domain

• The business artefacts can be contextualized on different semantic model levels (e.g. library/process/message).

• A semantic model based on the principles laid down in UN Key Layouts, UN Trade Data Element Directory and UN/EDIFACT

• Based on UN/CEFACT principles of harmonization, standardization and simplification

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Page 4: UN/CEFACT Reference Data Models (Semantic Models) · UN/CEFACT Reference Data Models (Semantic Models) Anticipating and Following Technological Trends in eBusiness Data Exchanges

The UN/CEFACT evolution

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• From document centric to process driven artefacts

(contextualized business artefacts)

• Supports document centric & process driven workflows

• Standardized syntax-neutral data exchange structures,

based on a common “Master” data exchange structure (from which complete documents and/or snippets of documents can be

created in e.g. UN/CEFACT XML or UN/EDIFACT)

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Page 5: UN/CEFACT Reference Data Models (Semantic Models) · UN/CEFACT Reference Data Models (Semantic Models) Anticipating and Following Technological Trends in eBusiness Data Exchanges

Supply chain document centric artefacts Needed : 200

From document centric to process driven business artefacts

Supply Chain process driven artefactsNeeded : 123

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Page 6: UN/CEFACT Reference Data Models (Semantic Models) · UN/CEFACT Reference Data Models (Semantic Models) Anticipating and Following Technological Trends in eBusiness Data Exchanges

Benefits of UN/CEFACT semantic models

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• Syntax neutral

• Trusted semantic models

• Future-proof

• Easy to use and implement

• Easy to maintain

• Based on internationally accepted standardized & harmonized business entity library

• Global semantics covering the data requirements of all processes across international supply and transport contracts (BUY-SHIP-PAY domain)

• Integrated international code lists, using commonly used UNECE Recommended code lists, UN/EDIFACT code lists, ISO code lists etc.

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Page 7: UN/CEFACT Reference Data Models (Semantic Models) · UN/CEFACT Reference Data Models (Semantic Models) Anticipating and Following Technological Trends in eBusiness Data Exchanges

Benefits of UN/CEFACT semantic models

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• A common basis for implementing• from semantics to syntax (XML or EDIFACT)

• Based on a common “Master” for data exchange structure of the semantic model

• Supports information sharing• such as enabled by data pipelines

• Efficient reuse of data shared within the BUY-SHIP-PAY domain model

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Page 8: UN/CEFACT Reference Data Models (Semantic Models) · UN/CEFACT Reference Data Models (Semantic Models) Anticipating and Following Technological Trends in eBusiness Data Exchanges

Rationalization results...

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• 40% fewer artefacts needed from the UN/CEFACT library (CCL) to build the same number of business messages

• Much more understandable artefacts:• business short name aliases provided for each attribute

• double qualified, document centric artefacts no longer needed

• Much easier to use • Simplification by reusing and restricting

• Minimised redundancy

• Much easier to maintain

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Page 9: UN/CEFACT Reference Data Models (Semantic Models) · UN/CEFACT Reference Data Models (Semantic Models) Anticipating and Following Technological Trends in eBusiness Data Exchanges

The BUY-SHIP-PAY modelthe international Supply Chain Reference Model

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Covered by 2 semantic models sharing the same library: - Supply Chain (BUY and PAY) and Multimodal Transport (SHIP)

BUY SHIP PAY

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Page 10: UN/CEFACT Reference Data Models (Semantic Models) · UN/CEFACT Reference Data Models (Semantic Models) Anticipating and Following Technological Trends in eBusiness Data Exchanges

Building semantic models using a common library

Supply Chain(BUY PAY Context)

Semantic model

e.g. Invoice

e.g. Order

e.g. Quotation

BUY PAY Master (Master message structure)

BUY SHIP PAY Semantic model

UN/CEFACT Core Component Library (CCL)

Based onBased onBased on

Based on

Multimodal Transport(SHIP Context)Semantic model

e.g.Bill of Lading

e.g. Booking

e.g. BayPlan

SHIP Master

(Master message structure)

Based on

Based on

Based on Based on

Based on and subset of

BUY SHIP PAY MASTER(Master message structure)

Based on

Based on

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Based onBased on

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Page 11: UN/CEFACT Reference Data Models (Semantic Models) · UN/CEFACT Reference Data Models (Semantic Models) Anticipating and Following Technological Trends in eBusiness Data Exchanges

Example: UN/CEFACT Cross Industry Invoice

SEMANTIC MODEL Supply Chain (BUY PAY)

(subset of CCL)

Supply Chain (BUY PAY) Master message structure

Invoice message model

SyntaxXML Invoice schema

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BUY SHIP PAYSemantic model

BUY SHIP PAYMaster message structure

BUY PAYSyntax-neutral businessdata exchange structure

CEN TC 434Invoice

Part of

Part of

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Page 12: UN/CEFACT Reference Data Models (Semantic Models) · UN/CEFACT Reference Data Models (Semantic Models) Anticipating and Following Technological Trends in eBusiness Data Exchanges

BUY SHIP PAY master message structure

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B

mas

ter

mes

sage

st

ruct

ure

BUY SHIP PAY Semantic model

Library CCL

Based on

Based on

BUY SHIP PAY MASTER(Master message structure)

See next slide

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Page 13: UN/CEFACT Reference Data Models (Semantic Models) · UN/CEFACT Reference Data Models (Semantic Models) Anticipating and Following Technological Trends in eBusiness Data Exchanges

Contextualized library (BUY SHIP PAY semantic model)

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CO

MP

LETE

LIB

RA

RY

UN

/CEF

AC

T C

CL

Based on

restrictions

BUY SHIP PAY Semantic model

Library subset/restrictions

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Page 14: UN/CEFACT Reference Data Models (Semantic Models) · UN/CEFACT Reference Data Models (Semantic Models) Anticipating and Following Technological Trends in eBusiness Data Exchanges

Contextualized library (created semantic models)

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Supply Chain Semantic model

Library subset/restrictions

Multimodal Transport Semantic model

Library subset/restrictions

BU

Y SH

IP P

AY

Sem

anti

c m

od

elBased on

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Page 15: UN/CEFACT Reference Data Models (Semantic Models) · UN/CEFACT Reference Data Models (Semantic Models) Anticipating and Following Technological Trends in eBusiness Data Exchanges

Contextualized artefacts (of the semantic models)

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Supply Chain Semantic model

Trade Price subset/restriction

Multimodal TransportSemantic model

Trade Price subset/restriction

SEM

AN

TIC

MO

DEL

TR

AD

E P

RIC

EBased on

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Page 16: UN/CEFACT Reference Data Models (Semantic Models) · UN/CEFACT Reference Data Models (Semantic Models) Anticipating and Following Technological Trends in eBusiness Data Exchanges

Contextualized master message structures (of the semantic models)

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Using Multimodal Transport semantic model

Multmodal TransportSHIP

master message structure

SHIP MasterBUY PAY Master

BUY PAY Master

Using Supply Chain semantic model

Supply Chain BUY PAY

master message structure

sub

set/

rest

rict

ion

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Page 17: UN/CEFACT Reference Data Models (Semantic Models) · UN/CEFACT Reference Data Models (Semantic Models) Anticipating and Following Technological Trends in eBusiness Data Exchanges

Quotation

Invoice

1:1

1:1

1:1

1:1

1:1

1:1Order

1:1

1:1

1:1

1:1

1:1

1:1

0:1

1:1

Remittance Advice

1:1

1:1

1:1

1:1

Contextualized messages structures

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Supply Chain BUY PAY

master message structure

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Bill of Lading/IFTMCS

Container BayPlan/BAPLIE

Pipeline Data Exchange Structure (CORE/SELIS)

C

Operational Manifest/IFCSUM

1:1

1:1

1:1

1:1

1:1

1:*

1:1

1:1

1:1

1:1

1:1

1:1

1:1

1:* 1:*

Contextualized messages structures – Multimodal Transport

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Page 19: UN/CEFACT Reference Data Models (Semantic Models) · UN/CEFACT Reference Data Models (Semantic Models) Anticipating and Following Technological Trends in eBusiness Data Exchanges

Contextualized artefacts (on message level)

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Supply ChainSemantic model

Despatch Advice Message

Supply ChainSemantic model Order Message

Page 20: UN/CEFACT Reference Data Models (Semantic Models) · UN/CEFACT Reference Data Models (Semantic Models) Anticipating and Following Technological Trends in eBusiness Data Exchanges

Contextualized schemas (smaller library & data types)

Invoice: version based on semantic model

Invoice: document centric version

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Page 21: UN/CEFACT Reference Data Models (Semantic Models) · UN/CEFACT Reference Data Models (Semantic Models) Anticipating and Following Technological Trends in eBusiness Data Exchanges

Contextualized artefacts (schema example)

Order Despatch Advice

Same business artefact is more detailed in the despatch advice

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Page 22: UN/CEFACT Reference Data Models (Semantic Models) · UN/CEFACT Reference Data Models (Semantic Models) Anticipating and Following Technological Trends in eBusiness Data Exchanges

Publishing of UN/CEFACT semantic models

✓Semantic models published in PDF✓Semantic models published in MS Excel✓Semantic models published in HTML✓Semantic models publication in machine-to-machine format, in

development

➢Concept of UN/CEFACT semantic models already available in tool(s) (e.g GEFEG FX)

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FormatsBusiness Artefacts

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Page 23: UN/CEFACT Reference Data Models (Semantic Models) · UN/CEFACT Reference Data Models (Semantic Models) Anticipating and Following Technological Trends in eBusiness Data Exchanges

PDF

Semantic Links

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Common TermShort name

Business Term

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Page 24: UN/CEFACT Reference Data Models (Semantic Models) · UN/CEFACT Reference Data Models (Semantic Models) Anticipating and Following Technological Trends in eBusiness Data Exchanges

Excel

Semantic Links

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Common TermShort name

Business Term

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Page 25: UN/CEFACT Reference Data Models (Semantic Models) · UN/CEFACT Reference Data Models (Semantic Models) Anticipating and Following Technological Trends in eBusiness Data Exchanges

HTML

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Short name

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Page 26: UN/CEFACT Reference Data Models (Semantic Models) · UN/CEFACT Reference Data Models (Semantic Models) Anticipating and Following Technological Trends in eBusiness Data Exchanges

Supply Chain profile messages in public review

1. Catalogue

2. Despatch Advice

3. Invoice

4. Order5. Order Change6. Order Response

7. Quotation Proposal8. Quotation Proposal Request9. Quotation Request10. Quotation Request Response

11. Remittance Advice

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Page 27: UN/CEFACT Reference Data Models (Semantic Models) · UN/CEFACT Reference Data Models (Semantic Models) Anticipating and Following Technological Trends in eBusiness Data Exchanges

Multimodal Logistics profile messages in advanced development

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• eCMR electronic international road consignment note• Logistics pipeline data exchange structure

Multimodal Logistics profile messages planned for future development

• Multimodal transport contract messages• Container handling messages• Bayplan and verified Gross Mass messages• IMO FAL messages• Consignment tracking messages

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Page 28: UN/CEFACT Reference Data Models (Semantic Models) · UN/CEFACT Reference Data Models (Semantic Models) Anticipating and Following Technological Trends in eBusiness Data Exchanges

Reusing UN/CEFACT semantic models➢Facilitates profiling for standardisation organisations.

eCommunities and individual organisations✓ Create UN/CEFACT conformant semantic models

o using published UN/CEFACT semantic modelso subsetting business message by restricting artefacts

✓ Create UN/CEFACT conformant XML schemas o using published UN/CEFACT schemaso Reflecting only the subset of the UN/CEFACT semantic model

✓ Creating profile packageso Semantic models using different publishing formatso UN/CEFACT XML schema

➢Concept of UN/CEFACT semantic models already available in tool(s) (e.g GEFEG FX)

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Page 29: UN/CEFACT Reference Data Models (Semantic Models) · UN/CEFACT Reference Data Models (Semantic Models) Anticipating and Following Technological Trends in eBusiness Data Exchanges

For further information:

Supply Chain Management Reference Data Model (SCRDM)

- Project Lead : Rolf Wessel

: email: [email protected]

- Lead Editor : Gerhard Heemskerk

email: [email protected]

Multimodal Transport Data Reference Model (MMT RDM)

- Lead Editor : Sue Probertemail : [email protected]

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