Facetting: meaning, definitions and examples
๐
facetting
[ หfรฆs.ษช.tษชล ]
data organization
Facetting is a process in data organization that involves breaking down a complex dataset into smaller, more manageable parts or 'facets.' This is often used in information retrieval, such as library and database systems, where it helps users navigate through large amounts of data more efficiently. By categorizing data into facets, users can filter and find relevant information more quickly. Facetting improves user experience by simplifying the search process, allowing for more intuitive interaction with databases.
Synonyms
categorization, partitioning, segmentation
Examples of usage
- The online store used faceting for easier product searches.
- Facetting helps in narrowing down search results.
- We implemented faceting to enhance the data retrieval process.
Translations
Translations of the word "facetting" in other languages:
๐ต๐น fatiamento
๐ฎ๐ณ เคซเฅเคธเคเคฟเคเค
๐ฉ๐ช Fassadierung
๐ฎ๐ฉ penyajian
๐บ๐ฆ ัะฐัะตััะฒะฐะฝะฝั
๐ต๐ฑ fascetowanie
๐ฏ๐ต ใใกใปใใๅ
๐ซ๐ท facettage
๐ช๐ธ facetado
๐น๐ท fasonlama
๐ฐ๐ท ํจ์ฏํ
๐ธ๐ฆ ุงูุชูุณูู
๐จ๐ฟ fascetovรกnรญ
๐ธ๐ฐ fascetovanie
๐จ๐ณ ๅ้ข
๐ธ๐ฎ fascetiranje
๐ฎ๐ธ fasceting
๐ฐ๐ฟ ัะฐัะตััะตั
๐ฌ๐ช แคแแกแแขแแ แแแ
๐ฆ๐ฟ fษsillษลdirmษ
๐ฒ๐ฝ facetado
Etymology
The term 'facetting' seems to be derived from the word 'facet,' which originally comes from the French 'facette,' meaning 'small face,' especially in the context of a gemstone. The word has evolved over centuries, stemming from the Latin 'facies,' which translates to 'face' or 'appearance.' Historically, facets were used to describe both the physical faces of cut stones and the various dimensions or perspectives of a concept or object. In the context of data science and web development, 'facetting' emerged in the late 20th century as data became more abundant and complex, necessitating methods to help organize, filter, and display information efficiently. As digital libraries and online databases began to proliferate, the practice of facetting became vital to enhance user navigation and retrieval capabilities across diverse datasets.