scholarly journals Subject search in modern library information retrieval systems

2021 ◽  
Vol 1 (7) ◽  
pp. 87-96
Author(s):  
Yu. V. Smirnov
Keyword(s):  
State Standards ◽  
Systematic Search ◽  
The Internet ◽  
Search System ◽  
Modern Library ◽  
Retrieval Systems ◽  
Information Retrieval Systems ◽  
Popular Subject ◽  
Science And Research ◽  
Search Systems

The author reviews in brief the library catalogs as the origins of subject search in the modern search systems. He examines the concept of “subject search”, offers its definition (lacking in the state standards – GOSTs), specifies the types (subject search, search by keywords, systematic search) and characterizes them. The libraries use intensively all three types of subject search while the Internet-based search engines offer just one type, i.e. search by keywords. The universal search systems, like Google and Yandex, do not entail cataloguing, however the possibility of subject search by keywords is designed within html-code and tagging system. The author investigates into the application of systematic search on the Internet. He concludes that this search type emphasizes is intensively applied to the resources related to libraries or science and research (library e-catalogs, abstract databases, etc.). He suggests that in time tagging, the Internet popular subject search system, will tend to classifying and systematic search.

Spatio-Temporal Based Personalization for Mobile Search

2012 ◽  
pp. 386-409 ◽  
Author(s):  
Ourdia Bouidghaghen ◽  
Lynda Tamine
Keyword(s):  
Information Retrieval ◽  
Contextual Information ◽  
The Internet ◽  
Search Results ◽  
Search Result ◽  
Retrieval Systems ◽  
Information Retrieval Systems ◽  
Spatio Temporal ◽  
Mobile Context

The explosion of the information available on the Internet has made traditional information retrieval systems, characterized by one size fits all approaches, less effective. Indeed, users are overwhelmed by the information delivered by such systems in response to their queries, particularly when the latter are ambiguous. In order to tackle this problem, the state-of-the-art reveals that there is a growing interest towards contextual information retrieval (CIR) which relies on various sources of evidence issued from the user’s search background and environment, in order to improve the retrieval accuracy. This chapter focuses on mobile context, highlights challenges they present for IR, and gives an overview of CIR approaches applied in this environment. Then, the authors present an approach to personalize search results for mobile users by exploiting both cognitive and spatio-temporal contexts. The experimental evaluation undertaken in front of Yahoo search shows that the approach improves the quality of top search result lists and enhances search result precision.

scholarly journals Web-Based Information Search System Development Using a Semantic Network

2021 ◽  
pp. 347-352
Author(s):  
Joko Samodra ◽  
Primardiana Hermilia Wijayati ◽  
. Rosyidah ◽  
Andika Agung Sutrisno
Keyword(s):  
Information Retrieval ◽  
Vector Space ◽  
Semantic Network ◽  
Vector Space Model ◽  
Latent Semantic Indexing ◽  
Search System ◽  
Web Based ◽  
Space Model ◽  
Retrieval Systems ◽  
Information Retrieval Systems

Finding information from a large collection of documents is a complicated task; therefore, we need a method called an information retrieval system. Several models that have been used in information retrieval systems include the Vector Space Model (VSM), DICE Similarity, Latent Semantic Indexing (LSI), Generalized Vector Space Model (GVSM), and semantic-based information retrieval systems. The purpose of this study was to develop a semantic network-based search system that will find information based on keywords and the semantic relationship of keywords provided by users. This cannot be done by most search systems that only work based on keyword matching or similarities. The Waterfall development model was used, which divides the development stages into five steps, namely: (1) requirements analysis and definition; (2) system and software design; (3) implementation and unit testing; (4) integration and system testing; and (5) operation and maintenance. The developed system/application was tested by trying to find information based on various combinations of keywords provided by the user. The results showed that the system can find information that matches the keyword, and other relevant information based on the semantic relationships of these keywords. Keywords: information retrieval, search system, semantic network, web-based application

scholarly journals Cross Language Information Retrieval (CLIR): A Survey of Approaches for Exploring Web Across Languages

2020 ◽  
Vol 10 (1) ◽  
pp. 326-332
Keyword(s):  
Information Retrieval ◽  
The Internet ◽  
Native Languages ◽  
Retrieval Systems ◽  
Private Organizations ◽  
Almost Everywhere ◽  
Cross Language Information Retrieval ◽  
Information Retrieval Systems ◽  
Cross Language ◽  
Monolingual Information Retrieval

In the era of globalization, internet being accessible and affordable has gained huge popularity and is widely being used almost everywhere by Government, private organizations, companies, banks, etc. as well as by individuals. It has empowered its users to contribute to the creation of information on web enabling them to use their native languages which consequently has drastically increased the volume of web-accessible documents available in languages other than English. This exponential growth of information on the internet has also induced several challenges before the information retrieval systems. Most of the present monolingual information retrieval systems can retrieve documents in the language of query only, missing the information in other languages that may be more relevant to the user. The need of information retrieval systems to become multilingual has given rise to the research in Cross Language Information Retrieval (CLIR) which can cross the language barriers and retrieve more relevant results from documents in different languages. This article is a review of motivation, issues, work and challenges related to various CLIR approaches. Starting with the most fundamental approaches of translation, it is attempted to study and present a review of more advanced approaches for enhancing the retrieval results in CLIR proposed by various researchers working in this domain.

scholarly journals The Use of Psycholinguistic Patterns in Interactive Systems of Active Information Retrieval

2018 ◽  
Vol 7 (4.38) ◽  
pp. 422
Author(s):  
Valery Evgenevich Sachkov ◽  
Dmitry Aleksandrovich Akimov ◽  
Sergey Aleksandrovich Pavelyev
Keyword(s):  
Information Retrieval ◽  
Information Exchange ◽  
Semantic Information ◽  
Interactive Systems ◽  
The Internet ◽  
Search System ◽  
Active Search ◽  
Search Systems ◽  
Short Messages

The article explores the possibility of using psycholinguistic patterns in a dialogue with the Internet visitors. The scheme of the semantic kernel is shown for the purpose-setting installation of the search system and the methodology for constructing patterns, taking into account the psycholinguistic features of constructing a dialogue for obtaining the required information. The model of building psycholinguistic patterns for revealing the semantic information in dialogues is given. Patterns are based on associative links of words and word combinations. Such associative connections allow expanding the list of related words and revealing key information in the best way from short messages. The use of such a method in interactive active search systems makes it possible to improve information exchange and achieve a higher level of identifying the purpose of the dialogue.   

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.

Performance of eight information retrieval systems in the Spanish web

2005 ◽  
Vol 14 (5) ◽  
pp. 335-346
Author(s):  
Por Carlos Benito Amat ◽  
Por Carlos Benito Amat
Keyword(s):  
Information Retrieval ◽  
Retrieval Systems ◽  
Information Retrieval Systems

A Dialectical Approach to Search Engine Evaluation

Libri ◽  
2020 ◽  
Vol 70 (3) ◽  
pp. 227-237
Author(s):  
Mahdi Zeynali-Tazehkandi ◽  
Mohsen Nowkarizi
Keyword(s):  
Information Retrieval ◽  
Information Science ◽  
Library And Information Science ◽  
Related Literature ◽  
Philosophical Foundations ◽  
Dialectical Approach ◽  
Retrieval Systems ◽  
The World ◽  
Information Retrieval Systems ◽  
Oriented Approach

AbstractEvaluation of information retrieval systems is a fundamental topic in Library and Information Science. The aim of this paper is to connect the system-oriented and the user-oriented approaches to relevant philosophical schools. By reviewing the related literature, it was found that the evaluation of information retrieval systems is successful if it benefits from both system-oriented and user-oriented approaches (composite). The system-oriented approach is rooted in Parmenides’ philosophy of stability (immovable) which Plato accepts and attributes to the world of forms; the user-oriented approach is rooted in Heraclitus’ flux philosophy (motion) which Plato defers and attributes to the tangible world. Thus, using Plato’s theory is a comprehensive approach for recognizing the concept of relevance. The theoretical and philosophical foundations determine the type of research methods and techniques. Therefore, Plato’s dialectical method is an appropriate composite method for evaluating information retrieval systems.

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