Introduction to Library and Information Science/Annotation of Smith, Linda C. "Artificial Intelligence and Information Retrieval."
Artificial intelligence has two main applications in information retrieval: organization of application methods, and the design of classification methods. There is no shared terminology between the fields, making it difficult for the two areas to collaborate initially. The author predicts that as artificial intelligence and information retrieval continue to expand there will still need to be an increase in the cognitive ability of the users to discern what has been retrieved from the original search. The other concern for users was the anticipation that in order to use the system, a user would need to be experts to get the desired results. At the time of the article, there was a growing interest in the ability of these retrieval systems to answer questions and retrieve facts, both items we see have come to fruition today in modern search engines used every day. Artificial intelligence was seen to have both short term and long term effects on information retrieval. In the short term, it would modify the results of a current search during a query to meet the user’s current needs. In the long term, it would modify the document representations to improve responses. This article was a follow up to the author’s initial research in 1980. Little had changed in that time as far as attitudes and outlook for the feasibility of using artificial intelligence techniques as practical applications in library science and information retrieval. With hindsight on my side, it is interesting to see that common search engines use the kind of aided searches to find related topics that the author thought only the experts would be able to complete.
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