2-day In-person Seminar on Practical Solutions for Improving Semantic Interoperability: Toward Better Data Integration and Service Oriented Architectures at Los Angeles

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.

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. 

This seminar teaches techniques for improving semantic interoperability that are starting to make their way into industry. It places an emphasis on the approaches that are relatively simple to implement and yet provide real business value. It also places those first steps on a path whose next steps are also incremental yet valuable.

This Live Seminar is a more detailed, more technically-oriented version of the Webinar entitled "Data Integration and the Semantic Interoperability Barrier: Business Impact and Overview of Practical Solutions." It also includes considerably more detail than the Virtual Webinar entitled "Data Integration and the Semantic Interoperability Barrier: Business Impact and Overview of Practical Solutions" and affords some opportunity to practice the techniques via organized exercises. 

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 Meta model into existing meta models
• 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

Who Will Benefit:

• Chief data office personnel  
• Data architects
• Data integrators
• Enterprise architects
• Business architects
• Business analysts
• Solutions architects
•  Application developers

About Speaker -

  David S 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.