Data Integration and the Semantic Interoperability Barrier.pdf

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Overview:In an economy where a company's business network of suppliers,distributors, partners, and customers is an increasingly importantsource of competitive advantage, semantic interoperability - the abilityof human and automated agents to coordinate their functioning basedon a shared understanding of the data that flows among them - is amajor economic enabler. Consequently, semantic interoperabilityproblems drive up integration costs across industry.Areas Covered in the Session:l The current state of the art in data integration - what we haveachieved, and what remains to be tackledl The business impact of the lack of semantic interoperability ondata integration complexity and costsl Keeping it simple: Identifying the approaches that are mostachievable in the short to medium term and yet provide substantialbenefitl An in-depth look at new techniques for improving semanticinteroperability, leveraging international standards. This includesan examination of the power and limitations of the Semantic Web inattacking the semantic interoperability problem, with a particularfocus on the tradeoffs between OWL and SKOS, two key SemanticWeb languages used for building ontologies and vocabularies.l A detailed look at an innovative kind of metadata called semanticmetadata, which helps to make semantic vocabularies andontologies actionable by forming a crucial bridge between ITelements and elements of the vocabularies and ontologies. Thisdrill-down includes a close look at rigorous modeling techniquesused to incorporate semantic metadata into tools, and exploreshow semantic metadata leverages the ISO 11179 standardmetadata standard.l A detailed view of how the new techniques are being incorporatedinto key finance and business reporting standards to which thepresenter has been a major contributorl A walk through the available options - and the trade-offs amongthem - for avoiding unnecessary disruption to the traditional datamodeling process when applying the new techniquesl Special considerations when applying the techniques to serviceorientedarchitecturesl General considerations for applying the techniques to big data

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Webinar
Enterprise & Information Technology Architecture

Live Webinar on

Data Integration and the Semantic Interoperability Barrier: Business Impact and In-Depth View of Practical Solutions
Date: Time: Tuesday, December 10, 2013 10:00 AM PDT | 01:00 PM EDT Location:

REGISTER NOW Online
Instructor: David Frankel

Duration: 6 Hours

Overview:
In an economy where a company's business network of suppliers, distributors, partners, and customers is an increasingly important source of competitive advantage, semantic interoperability - the ability of human and automated agents to coordinate their functioning based on a shared understanding of the data that flows among them - is a major economic enabler. Consequently, semantic interoperability problems drive up integration costs across industry.

Who Will Benefit:
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Chief Data Officers Data Architects Data Integrators Business Architects Business Analysts Solutions Architects Application Developers

Areas Covered in the Session:
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The current state of the art in data integration - what we have achieved, and what remains to be tackled The business impact of the lack of semantic interoperability on data integration complexity and costs Keeping it simple: Identifying the approaches that are most achievable in the short to medium term and yet provide substantial benefit An in-depth look at new techniques for improving semantic interoperability, leveraging international standards. This includes an examination of the power and limitations of the Semantic Web in attacking the semantic interoperability problem, with a particular focus on the tradeoffs between OWL and SKOS, two key Semantic Web languages used for building ontologies and vocabularies. A detailed look at an innovative kind of metadata called semantic metadata, which helps to make semantic vocabularies and ontologies actionable by forming a crucial bridge between IT elements and elements of the vocabularies and ontologies. This drill-down includes a close look at rigorous modeling techniques used to incorporate semantic metadata into tools, and explores how semantic metadata leverages the ISO 11179 standard metadata standard. A detailed view of how the new techniques are being incorporated into key finance and business reporting standards to which the presenter has been a major contributor A walk through the available options - and the trade-offs among them - for avoiding unnecessary disruption to the traditional data modeling process when applying the new techniques Special considerations when applying the techniques to serviceoriented architectures General considerations for applying the techniques to big data

About Speaker David Frankel
Owner, The Rose Tree Group, Ltd David Frankel has over 30 years of experience as a programmer, architect, and technical strategist. He is recognized as a pioneer and international authority on the subject of model-driven systems and semantic information modeling. He has a wealth of experience driving companies and industry at large to successfully adopt strategic technologies. He has an outstanding ability to communicate in technical mentoring situations, publications, and presentations. He has published two books and dozens of trade press articles, and has presented at many industry conferences. He has a reputation for facilitating collaboration that, along with his strong technical expertise, has led him to co-author a number of important industry software standards, including UML®, ISO 20022, BIAN, and the XBRL Abstract Model. He served terms as an elected member of the Object Management Group’s Architecture Board and Board of Directors. The IT domains in which he has expertise include data integration, domain-specific languages, enterprise architecture, modeldriven systems, semantic information modeling, semantic interoperability, serviceoriented architecture, and software product lines. The business domains in which he has applied his technical expertise in recent years include financial services, ERP financials, and business reporting. ...more

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