Automatic indexing attracted attention as early as the 1950s, particularly with the demand for faster and more comprehensive access to scientific and engineering literature. This attention in indexing began with text processing between 1957 and 1959 by H.P. Lunh through a series of papers that were published. Lunh proposed that a computer could handle keyword matching, sorting, and content analysis. This was the beginning of Automatic Indexing and the formula to pull keywords from text based on frequency analysis. It was later determined that frequency alone was not sufficient for good descriptors however this began the path to where we are now with Automatic Indexing. This was highlighted by the information explosion, which was predicted in the 1960s and came through the emergence of information technology and the World Wide Web. The prediction was prepared by Mooers where an outline was created with the expected role that computing would have for text processing and information retrieval. This prediction said that machines would be used for storage of documents in large collections and that we would use these machines to run searches. Mooers also predicted the online aspect and retrieval environment for indexing databases. This led Mooers to predict an Induction Inference Machine which would revolutionize indexing. This phenomenon required the development of an indexing system that can cope with the challenge of storing and organizing vast amount of data and can facilitate information access. New electronic hardware further advanced automated indexing since it overcame the barrier imposed by old paper archives, allowing the encoding of information at the molecular level. With this new electronic hardware there were tools developed for assisting users. These were used to manage files and were organized into different categories such as PDM Suites like Outlook or Lotus Note and Mind Mapping Tools such as MindManager and Freemind. These allow users to focus on storage and building a cognitive model. The automatic indexing is also partly driven by the emergence of the field called computational linguistics, which steered research that eventually produced techniques such as the application of computer analysis to the structure and meaning of languages. Automatic indexing is further spurred by research and development in the area of artificial intelligence and self-organizing system also referred to as thinking machine.
Automatic Indexing has many practical applications like for instance in the field of medicine. In research published in 2009, researchers talk about how automatic indexing can be used to create an information portal where users can find out reliable information about a drug. CISMeF is one such health portal that is designed to give information about drugs. The website uses MeSH thesaurus to index the scientific articles of the MEDLINE database and the Dublin Core Metadata. The system creates a meta term drug and uses that as search criteria to find all information about a specific drug. The website uses simple and advanced search. The simple search allows you to search by a brand name or by any code given by the drugs. Advanced search allows a more specific search by allowing you enter everything that describes the drug you are looking for.
Hlava, Marjorie M. (31 January 2005). "Automatic Indexing: A Matter of Degree". Bulletin of the American Society for Information Science and Technology. 29 (1): 12–15. doi:10.1002/bult.261. https://doi.org/10.1002%2Fbult.261
Hlava, Marjorie M. (31 January 2005). "Automatic Indexing: A Matter of Degree". Bulletin of the American Society for Information Science and Technology. 29 (1): 12–15. doi:10.1002/bult.261. https://doi.org/10.1002%2Fbult.261
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Hlava, Marjorie M. (31 January 2005). "Automatic Indexing: A Matter of Degree". Bulletin of the American Society for Information Science and Technology. 29 (1): 12–15. doi:10.1002/bult.261. https://doi.org/10.1002%2Fbult.261
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Sakji, Saoussen; Letord, Catherine; Dahamna, Badisse; Kergourlay, Ivan; Pereira, Suzanne; Joubert, Michel; Darmoni, Stéfan (2009). "Automatic indexing in a drug information portal". Studies in Health Technology and Informatics. 148: 112–122. ISSN 0926-9630. PMID 19745241. https://pubmed.ncbi.nlm.nih.gov/19745241/