Computer programming today is far too dependent on one particular natural language, namely English. Mathematics is not dependent on English, and programming should not be, either. In order to eliminate the dependence of programming on English, we have constructed a programming language in which the keywords are replaced by symbols available on standard keyboards. Each of these symbols is chosen...

The article focuses on the role of keywords, their statistical data for determining thematic dominance when working with large arrays texts. description is based materials a typological linguistic study texts military songs, period 1939-1945, in English and Russian. selection keywords was carried out basis semantic, lexical-syntactic, morphological analysis, taking into account frequency use. u...

or Introduction Details of a planning study for USAF computer security requirements are presented. An Advanced development and Engineering program to obtain an open-use, multilevel secure computing capability is described. Plans are also presented for the related developments of communications security products and the interim solution to present secure computing problems. Finally a Exploratory...

Private information retrieval (PIR) schemes enable a user to access one or more servers that hold copies of a database and privately retrieve parts of the n bits of data stored in the database. This means that the queries give each individual database no partial information (in the information theoretic or computational sense) on the identity of the item retrieved by the user. All known PIR sch...

Keyword advertising, or “sponsored links” that appear alongside online search results or other online content, has grown into a multibillion-dollar market. Providers of keyword advertising, such as Google and Yahoo, profit by auctioning keywords to advertisers. An issue of increasing importance for advertising providers is the “share structure” problem—that is, of the total available resources ...

In this paper we introduce a minimalist hypothesis for keywords extraction: keywords can be extracted from text documents by considering concepts underlying document terms. Furthermore, central concepts are individuated as the concepts that are more related to title concepts. Namely, we propose five metrics, that are diverse in essence, to compute the centrality of concepts in the document body...