Dynamic faceted search: from haystack to highlight

In the digital age, the amount of scholarly articles is growing exponentially. In the Open Research Knowledge Graph's question-answering facility ASK, for example, more than 80 million research articles have already been indexed. Finding the most relevant information from vast collections of scholarly data can be daunting for researchers, students, and academics. To tackle this challenge, search engines and digital libraries often rely on advanced search techniques, one of the most effective being faceted search. Faceted search is an advanced search method that allows users to filter and refine search results based on multiple predefined attributes, known as facets.