Knowledge Organization System (KOS) refers to a structured framework for organizing, managing, and retrieving information within a specific domain or across multiple domains. Essential for improving information findability, enhancing semantic interoperability, and supporting effective knowledge management in digital environments.
In AI, the generation of incorrect or nonsensical information by a model, particularly in natural language processing. Important for understanding and mitigating errors in AI systems.
A simplified, informal language used to describe the logic and steps of an algorithm or program, without syntax of actual programming languages. Useful for planning and communicating algorithms and program structures before implementation in digital product development.
The process of linking language to its real-world context in AI systems, ensuring accurate understanding and interpretation. Crucial for improving the relevance and accuracy of AI-generated responses.
The use of natural language processing to identify and extract subjective information from text, determining the sentiment expressed. Crucial for understanding public opinion and customer feedback.
Interactive Voice Response (IVR) is an automated telephony system that interacts with callers, gathers information, and routes calls to the appropriate recipient. It improves customer service and automates information retrieval.
The visual images, symbols, or modes of representation collectively associated with a subject, often used in design to communicate ideas quickly and effectively. Important for creating cohesive and meaningful visual systems.
Obstacles to effective communication that arise from differences in understanding the meanings of words and symbols used by the communicators. Crucial for designing clear and effective communication systems and avoiding misunderstandings.
Retrieval-Augmented Generation (RAG) is an AI approach that combines retrieval of relevant documents with generative models to produce accurate and contextually relevant responses. Essential for improving the accuracy and reliability of AI-generated content.
Model-Based Systems Engineering (MBSE) is a methodology that uses visual modeling to support system requirements, design, analysis, and validation activities throughout the development lifecycle. Essential for managing complex systems, improving communication among stakeholders, and enhancing the overall quality and efficiency of systems engineering processes.
Generative Pre-trained Transformer (GPT) is a type of AI model that uses deep learning to generate human-like text based on given input. This technology is essential for automating content creation and enhancing interactive experiences.
Voice User Interface (VUI) is a system that allows users to interact with a device or software using voice commands. Essential for creating hands-free, intuitive user experiences.
A search method that seeks to improve search accuracy by understanding the contextual meaning of terms in a query rather than just matching keywords. Important for understanding modern search algorithms and optimizing content accordingly.
Interference in the communication process caused by ambiguity in the meaning of words and phrases, leading to misunderstandings. Crucial for designing clear communication channels and reducing misunderstandings in user interactions.
A dark pattern where users are tricked into confirming a subscription through misleading language or design. It's crucial to avoid misleading users and ensure clear communication about subscription terms and conditions.
Perceivable, Operable, Understandable, and Robust (POUR) are the four main principles of web accessibility. These principles are essential for creating inclusive digital experiences that can be accessed and used by people with a wide range of abilities and disabilities.
Fundamental guidelines that inform and shape the design process, ensuring consistency, usability, and effectiveness in product creation. Essential for creating coherent, user-centered designs that align with organizational goals and user needs.
An interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data. Essential for driving data-informed decision making, predicting trends, and uncovering valuable insights in digital product design and development.
A dark pattern where the user is guilt-tripped into opting into something by using language designed to shame them if they decline. Designers must avoid this manipulative tactic and respect user decisions without using guilt or shame.
The underlying goal or motivation behind a user's search query, crucial for understanding and optimizing content to meet user needs and improve SEO. Essential for creating content that aligns with user needs and improving search engine rankings.
The process of anticipating, detecting, and resolving errors in software or systems to ensure smooth operation. Important for creating reliable and user-friendly software applications.
A programming paradigm aimed at improving the clarity, quality, and development time of software by using structured control flow constructs. Essential for writing clear, maintainable, and efficient code in digital product development.
Search Engine Optimization (SEO) is the process of improving a website's visibility and ranking in organic search engine results. Essential for attracting more traffic and enhancing the online presence of a website.
Model-View-Controller (MVC) is an architectural pattern that separates an application into three main logical components: the Model (data), the View (user interface), and the Controller (processes that handle input). Essential for creating modular, maintainable, and scalable software applications by promoting separation of concerns.
Key Performance Indicators (KPIs) are quantifiable measures used to evaluate the success of an organization, employee, or project in meeting objectives for performance. Essential for tracking progress, making informed decisions, and aligning efforts with strategic goals across various business functions, including product design and development.