Shell Processing Support Format for Land 3-D Surveys

Geophysics ◽  
1995 ◽  
Vol 60 (2) ◽  
pp. 596-596 ◽  
Author(s):  
Keyword(s):  
Magnetic Media ◽  
Ancillary Data ◽  
Technical Standards ◽  
Data Format ◽  
Wide Acceptance ◽  
Readable Form ◽  
Machine Readable ◽  
Machine Readable Form

The Shell SPS ancillary data format provides a means of encoding field ancillary data on magnetic media in both human readable and machine readable form. The format was defined by groups within Shell Internationale Petroleum Maatschappij in conjunction with comments from other users within the geophysical community. Since the format has gained wide acceptance, the SEG Technical Standards Committee requested that the format be made available publicly by endorsing it as an SEG standard. Shell very graciously agreed to provide this format to the geophysical industry.

scholarly journals Subject Access to a Data Base of Library Holdings

1974 ◽  
Vol 7 (4) ◽  
pp. 267
Author(s):  
Alice S. Clark
Keyword(s):  
Public Service ◽  
Public Libraries ◽  
Ohio State University ◽  
State University ◽  
Complete Collection ◽  
Remote Locations ◽  
Readable Form ◽  
The Ohio State University ◽  
Machine Readable ◽  
Machine Readable Form

As more academic and public libraries have some form of bibliographic description of their complete collection available in machine-readable form, public service librarians are devising ways to use the information for better retrieval. Research at the Ohio State University tested user response to paper and COM output from selected areas of the shelflist. Results indicated users at remote locations found such lists helpful, with some indication that paper printout was more popular than microfiche.

The relevance of terminologies for automatic abstracting

1982 ◽  
Vol 4 (4) ◽  
pp. 161-165
Author(s):  
Wolfgang Nedobity
Keyword(s):  
Scientific Literature ◽  
Relevant Information ◽  
Automatic Production ◽  
Readable Form ◽  
Automatic Abstracting ◽  
The One ◽  
Machine Readable ◽  
Machine Readable Form

The increased production and publication of professional and scientific literature makes it necessary that abstracts are pro duced in a quick, efficient and economical way. This can be achieved by the mechanization of abstracting. With the aid of computers, extracts can be produced of all kinds of texts which are available in machine-readable form. The main problem of this procedure is how to determine the key sentences of a text, i.e., the passages that contain the most relevant information. Various methods have been developed for this purpose; the one presented here is based on the fact that in order to convey relevant information, subject terminology is used. In many cases subject terminologies are now available in machine-reada ble form too and thus can be easily applied to the automatic production of abstracts.

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