Developing intelligent information retrieval systems - issues in database organization, distributed processing, and interface design

2002 ◽  
Author(s):  
S. Narayanan ◽  
S.E. Walchli ◽  
N. Reddy ◽  
A.L. Wood ◽  
B.K. Reynolds
Keyword(s):  
Information Retrieval ◽  
Interface Design ◽  
Distributed Processing ◽  
Retrieval Systems ◽  
Intelligent Information Retrieval ◽  
Information Retrieval Systems ◽  
Database Organization ◽  
Intelligent Information

scholarly journals RESEARCH OF APPROACHES TO THE RECOGNITION OF SEMANTIC IMAGES OF SCIENTIFIC PUBLICATIONS BASED ON NEURAL NETWORKS

2021 ◽  
Vol 2 ◽  
pp. 38-43
Author(s):  
Iuliia Bruttan ◽  
Igor Antonov ◽  
Dmitry Andreev ◽  
Victor Nikolaev ◽  
Tatyana Klets
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Information Retrieval ◽  
Scientific Publication ◽  
Scientific Publications ◽  
Network Training ◽  
Retrieval Systems ◽  
Intelligent Information Retrieval ◽  
Information Retrieval Systems ◽  
Intelligent Information

The paper is devoted to the problems of orientation and navigation in the world of verbal presentation of scientific knowledge. The solution of these problems is currently hampered by the lack of intelligent information retrieval systems that allow comparing descriptions of various scientific works at the level of coincidence of semantic situations, rather than keywords. The article discusses methods for the formation and recognition of semantic images of scientific publications belonging to specific subject areas. The method for constructing a semantic image of a scientific text developed by Iuliia Bruttan allows to form an image of the text of a scientific publication, which can be used as input data for a neural network. Training of this neural network will automate the processes of pattern recognition and classification of scientific publications according to specified criteria. The approaches to the recognition of semantic images of scientific publications based on neural networks considered in the paper can be used to organize the semantic search for scientific publications, as well as in the design of intelligent information retrieval systems.

scholarly journals ASSESSING REPOSITORY TECHNOLOGY: WHERE DO WE GO FROM HERE?

1992 ◽  
Vol 02 (03) ◽  
pp. 467-481
Author(s):  
DAVID EICHMANN
Keyword(s):  
Information Retrieval ◽  
User Interface ◽  
Software Reuse ◽  
Interface Design ◽  
User Interface Design ◽  
General Context ◽  
Retrieval Systems ◽  
Sample Information ◽  
Information Retrieval Systems

Three sample information retrieval systems, archie, autoLib, and WAIS, are compared as to their expressiveness and usefulness — first, in the general context of information retrieval, and then as prospective software reuse repositories. While the representational capabilities of these systems are limited, they provide a useful foundation for future repository efforts, particularly from the perspective of repository distribution and coherent user interface design.

scholarly journals Designing Information Retrieval Systems for Children's Use

2020 ◽  
Author(s):  
Kimberly Hirsh
Keyword(s):  
Information Retrieval ◽  
Child Development ◽  
Literature Review ◽  
Interface Design ◽  
Information Behaviors ◽  
Unique Information ◽  
Retrieval Systems ◽  
Information Retrieval Systems ◽  
Children First ◽  
Design For Children

A rich body of literature investigates children’s information behaviors and how information retrieval systems can best be designed to address their unique cognitive capabilities (Gossen & Nürnberger, 2013). This literature review explores this literature, focusing on the interaction between child development and interface design for children. First, it introduces stages of child development and children’s unique information behaviors and the challenges these present for information retrieval. Then, it describes evaluations of several existing IR interfaces for children. Finally, it reviews systems created to address specific IR challenges that children face.

Relevance Predictability in Information Retrieval Systems

1967 ◽  
Vol 06 (02) ◽  
pp. 45-51 ◽  
Author(s):  
A. Kent ◽  
J. Belzer ◽  
M. Kuhfeerst ◽  
E. D. Dym ◽  
D. L. Shirey ◽  
...  
Keyword(s):  
Information Retrieval ◽  
Experimental Conditions ◽  
Treatment Groups ◽  
Retrieval Systems ◽  
Significant Difference ◽  
Information Retrieval Systems ◽  
High Predictability ◽  
Intermediate Response ◽  
Quantitative Indicators ◽  
Level Of Processing

An experiment is described which attempts to derive quantitative indicators regarding the potential relevance predictability of the intermediate stimuli used to represent documents in information retrieval systems. In effect, since the decision to peruse an entire document is often predicated upon the examination of one »level of processing« of the document (e.g., the citation and/or abstract), it became interesting to analyze the properties of what constitutes »relevance«. However, prior to such an analysis, an even more elementary step had to be made, namely, to determine what portions of a document should be examined.An evaluation of the ability of intermediate response products (IRPs), functioning as cues to the information content of full documents, to predict the relevance determination that would be subsequently made on these documents by motivated users of information retrieval systems, was made under controlled experimental conditions. The hypothesis that there might be other intermediate response products (selected extracts from the document, i.e., first paragraph, last paragraph, and the combination of first and last paragraph), that would be as representative of the full document as the traditional IRPs (citation and abstract) was tested systematically. The results showed that:1. there is no significant difference among the several IRP treatment groups on the number of cue evaluations of relevancy which match the subsequent user relevancy decision on the document;2. first and last paragraph combinations have consistently predicted relevancy to a higher degree than the other IRPs;3. abstracts were undistinguished as predictors; and4. the apparent high predictability rating for citations was not substantive.Some of these results are quite different than would be expected from previous work with unmotivated subjects.

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