ISR10 Scientific Report No. ISR-10 Information Storage and Retrieval Introduction chapter Joseph John Rocchio Harvard University Gerard Salton Use, reproduction, or publication, in whole or in part, is permitted for any purpose of the United States Government. 1-7 category terms in the input text. B. Request Processing Search requests in the experimental system are introduced into the computer in the natural language with no £ormat restrictions. The index language representations 0£ the search requests are identical in structure with those 0£ the re£erence documents and are derived by applying thesame trans£ormation rules to the request text.. It will be assumed, in[OCRerr]general, that a search request is to be interpreted as a description 0£ a si[OCRerr]le topic area, i.e. a request describing'topics r'A11 and 11B" will be assumed to be satis£ied by documents dealing with A and 3, or with A in relation to B, etc. A user interested in documents either about A or about B is, by assumption, required to submit two search requests. The implications 0£ this assumption are discussed in more detail in Chapter 3. C. Angalar Distance [OCRerr]tching A retrieval operation in the model system is per£ormed by matching the index vector representation 0£ the search request with the index vector representations 0£ all re£erence documents. The range 6£ the matching £unction is assumed to introduce at least a partial order on the re£erence collection. Since the length or absolute magnitude 0£ an index vector under the assumed index trans£orma'tion is a £irst order £unction[OCRerr]o£'the length (number 0£ words) 0£ the text which it[OCRerr]represents, rather than 0£ the content