100 Best Faceted Search Videos

Notes:

Faceted classification is a method of organizing and categorizing information in which each piece of information is assigned to multiple categories, or “facets,” based on various attributes or characteristics. The categories in a faceted classification system are typically arranged in a hierarchy, with more general categories at the top and more specific categories at the bottom.

In a faceted classification system, the categories are semantically cohesive, which means that they are related to each other in a meaningful way. For example, in a library catalog, the categories might include subject, author, publication date, and format. Each book in the catalog would be assigned to multiple categories within the faceted classification system, depending on its attributes.

Faceted classification systems are often used to improve the discoverability and organization of information, particularly when the information belongs to multiple categories or is difficult to classify using a single hierarchy. They are commonly used in library catalogs, online databases, and other information management systems.

Faceted classification can be used in dialog systems to help improve the natural language understanding and response generation capabilities of the system. In a dialog system, faceted classification can be used to identify and classify the various elements of a conversation, such as the topic, intent, and context. This information can then be used to generate more appropriate and relevant responses to user input.

For example, consider a chatbot that is designed to provide information about local events. The chatbot might use faceted classification to classify user input based on various facets such as the type of event (e.g., music, sports, theater), the location of the event, and the date of the event. The chatbot can then use this classification information to generate more accurate and targeted responses to user queries.

Faceted classification can also be used in dialog systems to improve the discoverability of information. For example, a chatbot might use faceted classification to categorize a large database of information, making it easier for users to find specific information by searching within particular categories or facets.

Resources:

Wikipedia:

See also:

100 Best Linked Data Videos | Faceted Classification | Faceted Classification & Natural Language 2016

[94x Nov 2017]