Tools, Technologies, and Prototyping Flashcards
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Read the first 7 Tools, Technologies, and Prototyping flashcards as text
Which ontology language, developed by the W3C, is used to formally represent knowledge and relationships in a machine-readable way for the Semantic Web?
Answer: Web Ontology Language (OWL)
OWL (Web Ontology Language) provides rich semantics for defining classes, properties, and logical relationships in Semantic Web ontologies.
A content management system prototype is evaluated by having a developer build it and then discarding it once requirements are clarified. This approach is called:
Answer: Throwaway (or rapid) prototyping
Throwaway prototyping builds quick, exploratory prototypes to clarify requirements, then discards them before building the final system.
Which search technology uses inverted indexes and relevance scoring algorithms like TF-IDF or BM25 to power full-text search?
Answer: Apache Solr / Elasticsearch
Elasticsearch and Apache Solr are built on Lucene and use inverted indexes with TF-IDF/BM25 scoring for high-performance full-text search.
In information architecture, a 'faceted classification' system allows users to filter content by multiple independent attributes simultaneously. Which e-commerce scenario best exemplifies this?
Answer: Filtering products by brand, price range, color, and size simultaneously
Faceted classification enables simultaneous multi-dimensional filtering across independent facets like brand, price, color, and size.
Which UML diagram type is most useful during IA prototyping to map out the sequence of interactions between a user and a system over time?
Answer: Sequence diagram
Sequence diagrams show time-ordered message exchanges between actors and system components, making them ideal for modeling user-system interaction flows.
A company wants to implement a taxonomy that evolves based on user tagging behavior rather than being predefined by experts. This approach is called:
Answer: Folksonomy
A folksonomy is a user-generated, bottom-up classification system where content is tagged freely by end users rather than structured by experts.
When selecting a content management platform for a large enterprise IA project, which capability is MOST critical for supporting multi-channel content delivery?
Answer: Headless CMS architecture with API-first content delivery
A headless CMS decouples content from presentation via APIs, enabling delivery to any channel—web, mobile, IoT—from a single content repository.