The Importance of Information Architecture (IA)
Information Architecture is the art and science of labeling and organizing information, so that it is findable, manageable and useful. … Read More
AI’s Secret Ingredient – Information Architecture!
In a previous blog post I wrote about how Information Architecture is an enabler for Big Data Analytics. This … Read More
Information Architecture from Big Data Analytics to Content Visualization
The use of Information Architecture (IA) covers the spectrum from Big Data Analytics to Content Visualization. In my previous post … Read More
Information Architecture and Big Data Analytics
Information Architecture is an enabler for Big Data Analytics. You may be asking, why would I say this, or how … Read More
Information Architecture and the Value of Content Modeling
Content modeling is a powerful tool for fostering communication and alignment between User Experience (UX) design, editorial, and technical resources … Read More
The Connection Between IA and KM
When developing knowledge management systems (KMS) there exist the need to deliver the right knowledge to the right people at … Read More
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In print:
Essential Topics in Information Architecture Information Architecture (IA) details important areas of interest in the principles and practice of implementing information architecture.
Knowledge Management in Law Firms is a collection of insights on managing knowledge in a law firm, from Knowledge Management professionals around the globe. KM in Law Firms is produced in association with the International Bar Association.
Knowledge Management Matters brings together the expertise of the world's thought leaders of KM, who share tips, tactics, and techniques.
Knowledge Management in Practice gives detailed information on applying knowledge management (KM) practices, procedures and techniques to solve real world problems.
UML for Developing Knowledge Management Systems provides knowledge engineers the framework in which to identify types of knowledge and where this knowledge exists in an organization.
It also shows ways in which to use a standard recognized notation to capture, or model, knowledge to be used in a knowledge management system (KMS).
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