Full Text Search

AKA: Free Text Search.
Context:
- It can range from a being a Keyword-based Search to being a Fuzzy String Search, being a Phrase Search, to being a Sentence Search.
- …
Example(s):
- Sphinx Search,
- Apache Solr.
- BaseX.
- Clusterpoint Database.
- Elasticsearch.
- KinoSearch.
- Lucene.
- mnoGoSearch.
- PostgreSQL.
- Searchdaimon.
- Google Search.
- …
Counter-Example(s):
- An Image Search such as:
  - Google Images,
  - Photo Pin,
  - PicSearch,
  - Bing Image Search,
  - Yahoo Image Search,
- A Reverse Image Search such as:
  - CTRLQ.
  - Image Raider.
  - TinEye.
- Google Translate.
See: Search Engine Optimization, Text Retrieval, Computer, Document, Full Text Database, Metadata, Search Engine, Bibliographic Databases, Word Processing, AltaVista, Search Algorithms.

References

(FL-UI, 2018) ⇒ "Tips for Searching Article Databases" (PDF), Funk Library, University of Illinois. Retrieved: 2018-03-18.
- QUOTE: Many bibliographic databases have some form of “controlled vocabulary”, also referred to as “standardized vocabulary” One term is selected as the ‘preferred’ word for describing and searching for words and concepts in citations; these words and concepts are referred to as “subject” terms or “descriptors.” Words selected for controlled vocabularies are decided by specialists in information science and/or academic disciplines related to the terms and concepts. “Keywords” are descriptive words that may be found in the title, subject headings (descriptors), contents note, abstract, or text of a record in an online catalog or bibliographic database. A “keyword search” is also known as free-text searching.

(Wikipedia, 2017) ⇒ https://en.wikipedia.org/wiki/Full-text_search Retrieved:2017-8-3.
- 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 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 AltaVista, employ full-text-search techniques, while others index only a portion of the web pages examined by their indexing systems. ^[1]

↑ In practice, it may be difficult to determine how a given search engine works. The search algorithms actually employed by web-search services are seldom fully disclosed out of fear that web entrepreneurs will use search engine optimization techniques to improve their prominence in retrieval lists.

(Reitz, 2013) ⇒ Reitz, J. M. (2013). ODLIS — Online Dictionary for Library and Information Science. Westport, CN: Libraries Unlimited. Updated January 10, 2013.
- QUOTE: Free-text search - A search of a bibliographic database in which natural language words and phrases appearing in the text of the documents indexed, or in their bibliographic descriptions, are used as search terms, rather than terms selected from a list of controlled vocabulary (authorized subject headings or descriptors).

(Fidel, 1991) ⇒ Fidel, R. (1991). Controlled Vocabulary or Free-Text Searching (PDF). Journal of the American Society for Information Science, 42(7), 501.
- ABSTRACT: Searching with descriptors from controlled vocabularies complements free‐text searching with textwords. The case study method provided data about the manner in which the two types of search keys interact through: (1) observation of 47 professional searchers performing their job‐related searches; and (2) analysis of verbal and search protocols, denoting reasons for the selection of each search key and for each search modification. Results show that searchers used thesauri and indexing when it was of satisfactory quality and available to them, and that these and other database‐related reasons were the most influential in search‐key selection. Further, having to perform a multidatabase search induced the use of textwords without consulting a thesaurus. There is a need for high quality thesauri which are easily available and for mechanisms, such as switching languages, to aid in multidatabase searches.