1. Ontology modeling quick guide Experiences on Taxonomy and Ontology development work heimo hanninen Tieto, [email_address]
2. Why do we need better concepts for organizing information? 2011-02-09 [email_address]
3. Information is Constantly in Motion – - a need for better management 30% of people’s time is spent searching for relevant information Only one-third of CFOs believe that the information is easy to use, tailored, cost-effective or integrated 17% of IT budgets for storage hardware and storage management software and people More than 60% of CEOs believe their business needs to access and understand information faster to make swift decisions 30–50% of design time is copy management 85% of information is unstructured 37% growth of disk storage in 2005 40% of IT budgets may be spent on integration Source: IBM [email_address] Documents Transactions Customers Partners Employees Organizations Financials Products E-mails Databases Media Web content Reports
4. Corporate information in silos – a need for connecting layer 2011-05-11 [email_address] Partners R&D Production ICT Sales & Marketing HR
5. What is ontology in IT system scope? Enterprise Architect Dmitry Bogachev – Topic Maps 2007 -metadata
6. IM Layers (a’la Heimo) 2011-05-03 project technology service staff solution customer Business Ontology/Domain model : -Business entities -With associations and -Properties -Across domains Taxonomy : -Categorize -Hierarchical -Domain specific Information : -with metadata -identified -content and data Direct link Indirect link Value chain : -Processes document
11. Finding critical information assets and mapping them to business objects 1. Biz Process Walk through 2. Describe biz entities, properties and relations in common biz language 3. Identify sources. Understand local glossaries 4. Create mapping from local to global glossary Business ontology Heimo Hänninen [email_address] R&D Logistics Manufac- turing Marketing Sales Distri- bution Customer Support Product Design PDM, ERP CMS BI Sales & Marketing Partner’s data CRM
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Notes de l'éditeur
Brain will not get bigger – amount of information will
The data integration. It is where we spend most of our time,
Development of Ontology driven system is like any other dev, except perhaps one thing: focus is on subject centric computing. = system development with sem tech approach
Top down – bottom up
Biz case requires a large understanding or business needs, application landscape, integration challenges, data sources and interfaces Lack of risk taking in times when you should innovate and generate new type of business?