semantisets
Semantisets are structured collections of terms that cluster around a core concept to capture semantic relatedness. They are used as operational representations of meaning in linguistics, information retrieval, and natural language processing, providing a compact map of terms that express or relate to a given concept.
Formally, a semanset S for a target concept C is a finite set of terms t1, t2,
Semantisets are typically constructed through automatic methods, manual curation, or a combination of both. Automatic approaches
Examples are helpful for illustration. For the concept “dog,” a semanset might include dog, canine, puppy, hound,
Applications of semantisets include semantic search and query expansion, word sense disambiguation, ontology learning, and knowledge