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:
Chief Data Office Personnel
Why should you attend :
The semantic interoperability problem is so large that it can be difficult to know where to begin when seeking to mitigate it. CIOs generally estimate that integration costs eat up 30 to 60 percent of their IT budgets.
The good news is that the size of the problem means that we don't have to solve it completely in order to have substantial positive impact. Visa conducted an econometric study that suggested that modest improvements in semantic interoperability have the potential to measurably increase global GDP.
Areas Covered in the Session:
The current state of the art in data integration - what we have achieved, and remaining gaps
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, including BIAN, ISO 20022, and XBRL
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
Integrating the Semantic Metadata Metamodel into existing metamodels
Storing semantic metadata as embedded or standalone tags
Storing semantic metadata in RDF "triple stores"
Special considerations when applying the semantic metadata techniques to service-oriented architectures
Concrete syntaxes for modeling semantic metadata - textual vs. graphical
Importance and limitations of Linked Open Data for effective semantic metadata
Leveraging pre-existing business vocabularies and ontologies
Conventions for naming IT elements based on semantic structure: Utility and pitfalls
General considerations for applying the techniques to big data
Hand-on exercises modeling semantic metadata, with discussion of results
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, model-driven systems, semantic information modeling, semantic interoperability, service-oriented 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.
His most recent project involved setting up the service-oriented architecture and tooling framework for the Banking Industry Architecture Network (BIAN) standards organization, during his tenure as SAP's Lead Standards Architect for Model-Driven Systems.