A search technique that provides words which are similar in concept to a query word. A concept search will return documents that relate to the same concept as the query word, regardless of whether the query word exists in the search results documents. Concept searches can be implemented as a simple thesaurus match, or by using sophisticated statistical analysis methods. Effectiveness of concept search in an e-discovery project depends greatly on the type of algorithm used and its implementation.
An industry-specific term generally used to describe Keyword Expansion techniques, which allow search methods to return Documents beyond those that would be returned by a simple Keyword or Boolean Search. Methods range from simple techniques such as Stemming, Thesaurus Expansion, and Ontology search, through statistical Algorithms such as Latent Semantic Indexing.
Maps relationships between each word and every other word in large sets of documents and then associates words based on the context in which they are used. Two techniques can be used to perform concept searches: the use of a manually constructed thesaurus which relates certain words to others or semantic indexing, a fully automated method to show associations among words based, in part, on statistical analysis of the occurrence of proximity of certain words to others. 1
Also called “thesaurus” or “related” searching; sometimes called “synonym searching.” Searches that provide other words similar or close in meaning to the primary word. 2