• Information delivery history and innovation
• Business and public-sector drivers and success factors for information innovations
• Defining information as a service and information architecture
• Information as an asset and as a business
• The impact of big data
• Evolving information business models
• A look at real world information services in government and business

2. Understanding your information culture.
    Observations from the field.

• An ethnographic view of the enterprise: business as a culture
  
• Information needs within a business culture: Who uses what?
  - The chief: Business intelligence for strategic advantage
  - The elders: Information to run daily operations
  - The hunter/gatherer: Information about new business opportunities
  - The explorer: Enterprise-wide discovery for innovation
  - The villager: Information to accomplish day-to-day tasks
  - The storyteller: From information publishing to digital folklore
• Understanding information values and quality
• Developing a client-centric information strategy
  - Real world case study and interactive workshop

• Making sense of information architectures
  
• Enterprise Architecture, SOA and information services
  
• Service patterns: data federation, data consolidation, data cleansing,
  and master data management
• The challenges of customer data integration and product data management
• The structured – unstructured information continuum – its implications
  - Enterprise content management systems
  - Information and content analytics
  - Big data
  - Business Intelligence (BI) from structured and unstructured data
  - Search: from keywords to complex queries
• Discovery and inferencing

• The emerging role of semantics for enterprises
• Systems of systems (SOS) - the drive to reuse legacy systems
• Growing need for semantic interoperability
• What is semantics and its relationship to knowledge
• Enterprise ontologies and why they are so important to information services
• Positioning taxonomies and metamodels
• Semantics and knowledge management

• The problem of cultural information diversity
• The need for a common “cultural reference model”
  
• Strategies to integrate heritage information

Days 2 & 3 - Implementing Enterprise Information Services: Semantic Strategies for Enabling Information Architectures

1. Responding to real-world Information Services
    Semantics: Enabling Enterprise Information Architectures.

• The semantic continuum - from implicit to the semantic web
• Enterprise information integration (EII) of disparate legacy systems
  - The need to significantly augment shrink-wrapped data services solutions
• Increasing volumes of structured and unstructured data
  - Intelligent crawling, search, retrieval, and analysis
  - Deep business intelligence (BI) analytics
  - Semantic-based text mining via natural language processing
• Intelligent simulation systems
  

• The purpose of ontologies and semantics
• Semantic enterprise processes
• Ontology building blocks
• Axioms, rules, and reasoning
• Levels of ontology
• Ontology modeling languages
• IDEF5 language schemas and examples

3. Real world business value.
     Semantic interoperability in action.
   In this walk-through session, team members will gain an overview perspective of the key steps involved 
      in initiating an information integration project including lessons learned from various implementations.

• Problem: the fragmented enterprise
• Solution: Single integrated system

• Semantic analysis process leading to the ontology
• Five sources of domain concepts and relations
• Seven steps for understanding your domain semantics
• Five-step process for an effective semantic model
• Issues in advanced semantic architecture design

• Managing an IA project
• Roles in the IA Team
• Develop refine, verify and validate enterprise model
• Deploy an enterprise model to integrate information
• Create physical data services and map to the enterprise model
• Map relationship functions and deploy
• Enterprise model visualization and search
  

• Adding "meaning" to business process models
• Business process modeling overview, process standards, and language standards
• SOA standards come in to play; composing web services into business processes
• Business process metadata and semantics
• Linking process knowledge with enterprise knowledge through ontologies

• Challenges of unifying EI for application and user access and exploitation
• Business intelligence vs. business knowledge
• Revisiting structured vs. unstructured information architectures
• The evolving role of hybrid architectures
• State of the research in EI integration, access and correlation
• Agile presentation layers for unified information
• Designing information architectures for evolution in an age of technology revolution

• Goals and dimensions of reference models
  - Role of semantics in developing reference models
• Industry reference models
• Public sector reference models
• Benefits of developing a business ontology

• The role of various standards organizations
• The building blocks of expressive power - making sense of languages
• Ontology languages - OWL, DAML + OIL, RDF XML, RDF, and XML
• Reasoners - inferring consequences from a set of facts or axioms

• Business case within your culture
• Business value of semantics
• Semantically integrating services as business value
• Business case analysis method