International Business Machines Corp.
The document file of this WALNUT information retrieval system contains the equivalent of 3,000 books. A punched-card inquiry system locates the desired filmstrip for viewing or photographic reproduction.
International Business Machines Corp.
This image converter of the WALNUT system optically reduces and transfers microfilm to filmstrips for storage. Each strip contains 99 document images. As a document image is transferred from microfilm to filmstrip, the image converter simultaneously assigns image file addresses and punches these addresses into punched cards controlling the conversion process.
The key to information retrieval lies in efficient abstracting. It has been customary to let people do this task in the past because there was no other way of getting it done. Unfortunately, man does not do a completely objective job of either preparing or using the abstract, and the result is a two-ended guessing game that wastes time and loses facts in the process. A machine abstracting system, devised by H. Peter Luhn of IBM, picks the words that appear most often and uses them as keys to reduce articles to usable, concise abstracts. A satisfactory solution seems near and will be a big step toward a completely computerized IR system.
For several years there has been a running battle between the computer IR enthusiast and the die-hard “librarian” type who claims that information retrieval is not amenable to anything but the human touch. It is true that adapting the computer to the task of information retrieval did not prove as simple as was hoped. But detractors are in much the same fix as the man with a shovel trying to build a dike against an angry rising sea, who scoffs at the scoop-shovel operator having trouble starting his engine. The wise thing to do is drop the shovel and help the machine. There will be a marriage of both types of retrieval, but Verner Clapp, president of the Washington, D.C., Council on Library Resources, stated at an IR symposium that computers offer the best chance of keeping up with the flood of information.
One sophisticated approach to IR uses symbolic logic, the forte of the digital computer. In a typical reductio ad logic, the following request for information:
An article in English concerning aircraft or spacecraft, written neither before 1937 or after 1957; should deal with laboratory tests leading to conclusions on an adhesive used to bond metal to rubber or plastic; the adhesive must not become brittle with age, must not absorb plasticizer from the rubber adherent, and must have a peel-strength of 20 lbs/in; it must have at least one of these properties—no appreciable solution in fuel and no absorption of solvent.
becomes the logical statement:
KKaVbcPdeCfg, and KAhiKKKNjNklSmn.
Armed with this symbolic abbreviation, the computer can dig quickly into its memory file and come up with the sought-for article or articles.