Summary
Over the past 10 years, there has been an a ground swell of knowledge systems. Knowledge systems stand on the shoulders of information systems...not only delivering information, but delivering that information in the context of the user's needs. The user experience for these systems has not kept pace with the rapid proliferation of technologies that support knowledge systems (artificial intelligence, machine learning, knowledge graphs). Let's take a survey of these the technology and landscape of knowledge systems, and discover strategies and best practices for implementing knowledge systems. You will: Gain an understanding of the different type and purposes of knowledge systems, and their characteristic advantages and disadvantages Discover the needs of users Methods to implement UX strategies for knowledge systems
Key Insights
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Knowledge systems are enterprise-level applications focused on storing and sharing knowledge on specific topics.
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They rely on subject matter experts and can combine data from various established sources.
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Graph databases provide a modern way to store and retrieve knowledge efficiently.
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The difference between data, information, and knowledge is crucial; data is raw, information has context, and knowledge drives action.
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User experience for knowledge systems differs significantly from traditional information systems, requiring different design approaches.
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Understanding user needs and the context of knowledge creation is essential for designing effective systems.
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There is a need for universal standards in knowledge representation to improve user trust and interaction.
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Visualization of knowledge systems must cater to both creators and consumers of knowledge.
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Adoption of graph-based systems is still evolving, requiring innovative approaches to user experience design.
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Collaboration between user experience and information architecture is vital for successful knowledge system implementation.
Notable Quotes
"Knowledge systems represent a repository of a body of knowledge, usually focused on a single topic or related group of topics."
"Data is the rawest form of content, usually primarily for storage and physical formatting, and is not primarily intended for human consumption."
"Information is data with context, intended more for human consumption than raw data."
"Knowledge is meant for human action, tailored to answer questions or provide context."
"The experience of creating knowledge is just as important as the presentation of knowledge."
"We need to break out of the 30 years of design that has been geared around relational databases."
"Knowledge comes in many forms and shapes; designing a product to meet various needs is challenging."
"Most knowledge systems use force-directed graphs to present knowledge, but these lack standard design elements."
"User experiences can be shaped by how knowledge systems are used, even if they cannot create new interfaces."
"As knowledge evolves, our practice to provide amazing user experiences must scale with it."
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