Copyright © 1995-2007 Open Applications Group, Inc. All rights reserved 1 © Copyright 2009 Open...

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ht © 1995-2007 Open Applications Group, Inc. All rights reserved 1 © Copyright 2009 Open Applications Group © Copyright 2009 Open Applications Group Improving OAGIS with Ontologies http://www.openapplications.org David Connelly CEO, Open Applications Group, Inc.

Transcript of Copyright © 1995-2007 Open Applications Group, Inc. All rights reserved 1 © Copyright 2009 Open...

Page 1: Copyright © 1995-2007 Open Applications Group, Inc. All rights reserved 1 © Copyright 2009 Open Applications Group Improving OAGIS with Ontologies .

Copyright © 1995-2007 Open Applications Group, Inc. All rights reserved 1© Copyright 2009 Open Applications Group© Copyright 2009 Open Applications Group

Improving OAGIS with Ontologies

http://www.openapplications.org

David ConnellyCEO, Open Applications Group, Inc.

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Introduction

• I am not an expert in Ontology• I build standards• We can always improve standards• So my context is how to use Ontology

technology to do this• We have tried some research in past in

partnership with NIST• I will discuss some plans moving

forward

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OAGi is a not-for-profit, independent, open standards development organization.

It was formed to promote interoperability among business software applications and to create or endorse one or more standards for easier business software interoperability.

The primary technical standard produced by OAGi is OAGIS, the OAG Integration Standard.

Open Applications GroupWho we are

www.openpplications.org

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OAGIS is Process Definitions and

Payloads

• Scenario is process definition

• Business Object Documents (BODs) are messages within the Collaboration

• Freely downloadable at:

http://www.openapplications.org

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Definition 1 of Ontology

• A common vocabulary for describing the concepts that exist in an area of knowledge and the relationships that exist between them. An ontology allows for a more detailed specification of the relationships in a domain than is the case with a thesaurus or taxonomy. ...plc.fis.utoronto.ca/tgdemo/Glossary.asp

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Definition 2 of Ontology

• (computer science) a rigorous and exhaustive organization of some knowledge domain that is usually hierarchical and contains all the relevant ...

• the metaphysical study of the nature of being and existence wordnet.princeton.edu/perl/webwn

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Thoughts

• Goal of OAGIS• Focus on end-user• Focus on Solution Provider• Save Money• Improve agility• Definition of Ontology• How can this improve OAGIS

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Open Applications Group Goal

E2E = B2B + A2A + A2ETM

Everywhere to Everywhere Integration

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Problem Description

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Problem Description

Different

Different

Tags & Meanings

Tags & MeaningsDifferent

Different Positions

Positions

Different

Different

Information Content

Information Content

Different information elementsDifferent information elements

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Industry Collaborations

• UN/CEFACT – United Nations• ISO- International Standards Organization• MoU MG – Memorandum of Understanding Management Group• IEC TC57 WG14 – Electric Utility Standards• KIEC – Korean e-Commerce Consortium• NIST – National Institute of Standards & Technology• AIAG – Auto Supply Chain North America• Odette – Auto in Europe • ITA – Information Technology in Germany• STAR – Auto Retail North America• AAIA – Auto Aftermarket North America• RV Industry – North America• AIA – Aerospace North America• AECMA – Aerospace Europe• OSCRE – Facilities Management• VISION Industry• HR-XML – HR Content, world-wide• SP95 – Enterprise Controls• ARTS (Retail)• STEP – Engineering world-wide• IFX – Interactive Financial Exchange• SWIFT• TWIST• Comptia/EIDX – Electronics and Computer Industry• WS-I• OASIS• Tax-XML• UBL

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OAGIS Convergence Initiatives

• UN/CEFACT• MoU MG• Financial Harmonization• AIAG, STAR, Odette,

JAMA/JAPIA• ISA SP95• HR-XML• ACORD• CIDX• ARTs• STEP• Others possible

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Problem Description

• OAGIS– BOM– Item Master– ECO

• STEP– AP214– OMG PLM

Services– OAGIS PLCS

(later for Manufacturing)

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NIST B2B Testbed Activity Update

Serm KulvatunyouNenad IvezicJungyub Woo

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Problem Description

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Research Findings

• Three levels of similarity measures identified– Lexical similarity measure – Words and terms

similarity based on domain independent or specific knowledge

– Structural similarity measure – Words and terms similarity based on structural information (what a term contains and how)

– Logical similarity measure – Words and terms similarity based on associated formal models

• Approach to measure the quality of the similarity measure preliminary defined

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Research Activities

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Results

• Still in the Lab• Enterprise Interoperability Centre • European Test Bed is next step• Same people involved• We still have the problem in the real

world

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Activities with OAGIS

• Looking at a Next –Gen Effort

• Will Include UN/CEFACT Technologies

• Improve Supply Chain Interoperability

• Improve Cross-Supply Chain Interoperability

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UN/CEFACT Technologies

• Naming and Design Rules• CCTS• Data Types• Unified Context Methodology

(UCM)

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Unified Context Methodology

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Unified Context Methodology

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Final Thoughts

• We have been active for years• Still Active• Still Hopeful• Open to new ideas

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Questions?

www.oagi.org