Taxonomies and ontologies are the backbones of information retrieval. They help in classifying, organizing, and retrieving information. The IAB Tech Lab’s Content Taxonomy API allows for managing taxonomies and ontologies efficiently. It also helps in identifying the relevance of a given piece of text for a specific topic. Keep reading Apply Taxonomies And Ontologies Efficiently With This API, we will talk about this.
Taxonomies and ontologies
A set of keywords, plus some developmental rules for representing news content, however simple these rules may be (for example, using plural instead of singular, or nouns instead of verbs), constitute a documentary language.
The keywords chosen to represent news (or any kind of document) are called indexing terms in professional jargon because they can be used to create indexes, printed or digitized, that facilitate access to information. They are also called descriptors because they effectively describe things (books, videos, photographs, news, etc.)
Why would we want to use keywords or descriptors in the context of the web? In the more traditional field of libraries and academic databases it is clear (it is, isn’t it?); but on a website and in a communication medium perhaps not so much.
In the case of a media outlet, it is assumed that we want to find news on the same topic using certain keywords (or a combination of keywords) whenever we want to retrieve that information.
For example, it may be that, in the future, let’s say in a few months or a few years, a journalist needs to find the news that is being published these days on any topic. Using the same keywords or descriptors to characterize the same topics will help find those news items accurately and without noise.
In addition, to the extent that the media have become cybermedia, we also need keywords so that the different navigation systems of the website provide the best possible access to news on the same topic.
Lastly, the keywords or descriptors will serve to improve the accuracy of the information retrieval operations in the media’s digital newspaper library.
Check Text Classification IAB Taxonomy
The Content Taxonomy has evolved over time to provide publishers with a consistent and easy way to organize their website content. For example, to differentiate “sports” vs. “news” vs. “wellness” material. IAB Tech Lab’s Content Taxonomy specification provides additional utility for minimizing the risk that content categorization signals could generate sensitive data points about some things. Some examples are race, politics, religion, or other personal characteristics that could result in discrimination.
What are the most common uses cases of this API? This API is beneficial for businesses who have a vast volume of data that has to be sorted by category. As a result, you will be able to collect text by categorizing it. Furthermore, it is great for marketing organizations who wish to extract and categorize data online. Also useful for categorizing phrases or slogans, IAB standards provide precise classification.
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