Full-text database in the context of Bibliographic database

In text retrieval, full-text search refers to techniques for searching a single computer-stored document or a collection in a full-text database. Full-text search is distinguished from searches based on metadata or on parts of the original texts represented in databases (such as titles, abstracts, selected sections, or bibliographical references).

In a full-text search, a search engine examines all of the words in every stored document as it tries to match search criteria (for example, text specified by a user). Full-text-searching techniques appeared in the 1960s, for example IBM STAIRS from 1969, and became common in online bibliographic databases in the 1990s. Many websites and application programs (such as word processing software) provide full-text-search capabilities. Some web search engines, such as the former AltaVista, employ full-text-search techniques, while others index only a portion of the web pages examined by their indexing systems.

InfoTrac is a family of full-text databases of content from academic journals and general magazines, of which the majority are targeted to the English-speaking North American market. As is typical of online proprietary databases, various forms of authentication are used to verify affiliation with subscribing academic, public, and school libraries. InfoTrac databases are published by Gale, a part of Cengage Learning.

InfoTrac was first publicly presented in January 1985 by Information Access Company (IAC) to library professionals at the American Library Association's annual conference in Washington, D.C. IAC began to roll out the system to subscribing libraries in the spring of 1985.