Automated information retrieval in science and technology

Science ◽  
1980 ◽  
Vol 208 (4439) ◽  
pp. 25-30 ◽  
Author(s):  
T. Doszkocs ◽  
B. Rapp ◽  
H. Schoolman
Keyword(s):  
Information Retrieval ◽  
Science And Technology

scholarly journals Monitoring Technoscientific Issues in the News

2020 ◽  
pp. 536-553
Author(s):  
Alberto Cammozzo ◽  
Emanuele Di Buccio ◽  
Federico Neresini
Keyword(s):  
Machine Learning ◽  
Information Retrieval ◽  
Science And Technology Studies ◽  
Science And Technology ◽  
Public Communication ◽  
Huge Amount ◽  
Dynamic Nature ◽  
Computer Scientists ◽  
Science In Society

AbstractResearch at the intersection between Science and Technology Studies (STS) and Public Communication of Science and Technology (PCST) investigates the role of science in society and how it is publicly perceived. An increasing attention has been paid to coverage of Science and Technology (S&T) issues in newspapers. Because of the availability of a huge amount of digitized news contents, the variety of the issues and their dynamic nature, new opportunities are offered to carry out STS and PCST investigations. The main contribution of this paper is a methodology and a system called TIPS that was co-shaped by sociologists and computer scientists in order to monitor the coverage of S&T issues in the news and to study how they are represented. The methodology relies on machine learning, information retrieval and data analytics approaches which aim at supporting expert users, e.g. sociologists, in the investigation of their research hypotheses.

Semantic matching of State Rubricator of Sci-tech Information and OECD headings

2021 ◽  
Author(s):  
Elena Dmitrieva ◽  
◽  
Elena Terekhova ◽  
Keyword(s):  
Information Retrieval ◽  
Science And Technology ◽  
Public Library ◽  
Classification Systems ◽  
Semantic Mapping ◽  
Semantic Matching ◽  
Heterogeneous Resources ◽  
Subject Domains

The study was completed to solve the problems of information compatibility and integration of subject subspaces into the single one and information retrieval from heterogeneous resources classified within different classifications of sci-tech information. Based on intellectual analysis and classification synonymity achieved through semantic mapping of hierarchy branches, the tables of SRSTI-OECD headings interreflection were designed. The mapping tables are supplemented with indices comprising Russian-English and English-Russian keywords and word combinations to classify OECD subject domains. The statistics of defined semantic matches distribution of classification numbers in SRSTI thematical classes is included. The SRSTI-OECD «adapter» (semantic links between the classifications and two-language subject indices) makes the component of the single network of interrelated classification systems being developed at the Russian National Public Library for Science and Technology

Schools of Modern Languages: The Bath University Postgraduate Diploma in Language Studies

Babel ◽  
1971 ◽  
Vol 17 (2) ◽  
pp. 21-25
Author(s):  
James Coveney
Keyword(s):  
Information Retrieval ◽  
International Economics ◽  
International Politics ◽  
Science And Technology ◽  
Language Studies ◽  
Postgraduate Diploma ◽  
Consecutive Interpreting

Summary of Syllabus Simultaneous and consecutive interpreting; documentary translation; conference precis-writing; information retrieval; international economics; international politics; aspects of science and technology.

Sheaf Representation of an Information System

2019 ◽  
Vol 6 (2) ◽  
pp. 73-83
Author(s):  
Pyla Vamsi Sagar ◽  
M. Phani Krishna Kishore
Keyword(s):  
Information System ◽  
Information Retrieval ◽  
Present Article ◽  
Set Theory ◽  
Rough Set ◽  
Rough Sets ◽  
Rough Set Theory ◽  
Science And Technology ◽  
Gold Mine ◽  
Sheaf Representation

Ever since Pawlak introduced the concepts of rough sets, it has attracted many researchers and scientists from various fields of science and technology. Particularly for algebraists as it presented a gold mine to explore the algebraic and topological connections with rough set theory. The present article deals with the connections between rough sets and sheaves. The authors studied sheaf representation of an information system in rough set framework and illustrated how it helps information retrieval.

Laboratory Simulation of Lunar Luminescence

1962 ◽  
Vol 14 ◽  
pp. 441-444 ◽  
Author(s):  
J. E. Geake ◽  
H. Lipson ◽  
M. D. Lumb
Keyword(s):  
Science And Technology ◽  
Laboratory Simulation ◽  
The Moon ◽  
Physics Department ◽  
Luminescent Spectrum

Work has recently begun in the Physics Department of the Manchester College of Science and Technology on an attempt to simulate lunar luminescence in the laboratory. This programme is running parallel with that of our colleagues in the Manchester University Astronomy Department, who are making observations of the luminescent spectrum of the Moon itself. Our instruments are as yet only partly completed, but we will describe briefly what they are to consist of, in the hope that we may benefit from the comments of others in the same field, and arrange to co-ordinate our work with theirs.

Demonstration of the Use of Tape-Recorded Information from a High Vacuum Electron Microscope

1969 ◽  
Vol 27 ◽  
pp. 218-219
Author(s):  
Richard E. Hartman ◽  
Roberta S. Hartman ◽  
Peter L. Ramos
Keyword(s):  
Information Retrieval ◽  
Electron Microscope ◽  
Magnetic Tape ◽  
High Vacuum ◽  
Data Retrieval ◽  
Electronic Information ◽  
Electronic Data ◽  
Subsequent Processing ◽  
Continuous Record

We have long felt that some form of electronic information retrieval would be more desirable than conventional photographic methods in a high vacuum electron microscope for various reasons. The most obvious of these is the fact that with electronic data retrieval the major source of gas load is removed from the instrument. An equally important reason is that if any subsequent analysis of the data is to be made, a continuous record on magnetic tape gives a much larger quantity of data and gives it in a form far more satisfactory for subsequent processing.

Stain contamination and embedding in electron microscopy

1986 ◽  
Vol 44 ◽  
pp. 50-53
Author(s):  
Hilton H. Mollenhauer
Keyword(s):  
Electron Microscopy ◽  
Information Retrieval ◽  
Epoxy Resins ◽  
Image Contrast ◽  
Sample Preservation ◽  
Factors Associated ◽  
Amount Of Information ◽  
Electron Microscopical ◽  
Contrast Information

Many factors (e.g., resolution of microscope, type of tissue, and preparation of sample) affect electron microscopical images and alter the amount of information that can be retrieved from a specimen. Of interest in this report are those factors associated with the evaluation of epoxy embedded tissues. In this context, informational retrieval is dependant, in part, on the ability to “see” sample detail (e.g., contrast) and, in part, on tue quality of sample preservation. Two aspects of this problem will be discussed: 1) epoxy resins and their effect on image contrast, information retrieval, and sample preservation; and 2) the interaction between some stains commonly used for enhancing contrast and information retrieval.

Information and Dose in the Scanning Transmission Ion Microscope

1980 ◽  
Vol 38 ◽  
pp. 232-233
Author(s):  
Fox T. R. ◽  
R. Levi-Setti
Keyword(s):  
Information Retrieval ◽  
Electron Microscope ◽  
Elastic Scattering ◽  
Energy Loss ◽  
Cross Sections ◽  
Previous Analysis ◽  
Single Scattering ◽  
Screening Length ◽  
Relative Damage ◽  
Scanning Transmission

At an earlier meeting [1], we discussed information retrieval in the scanning transmission ion microscope (STIM) compared with the electron microscope at the same energy. We treated elastic scattering contrast, using total elastic cross sections; relative damage was estimated from energy loss data. This treatment is valid for “thin” specimens, where the incident particles suffer only single scattering. Since proton cross sections exceed electron cross sections, a given specimen (e.g., 1 μg/cm2 of carbon at 25 keV) may be thin for electrons but “thick” for protons. Therefore, we now extend our previous analysis to include multiple scattering. Our proton results are based on the calculations of Sigmund and Winterbon [2], for 25 keV protons on carbon, using a Thomas-Fermi screened potential with a screening length of 0.0226 nm. The electron results are from Crewe and Groves [3] at 30 keV.

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