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.

Applications of Thesaurus in Digital Libraries

2017 ◽  
Vol 37 (5) ◽  
pp. 313
Author(s):  
Sanjeev K Sunny ◽  
Mallikarjun Angadi
Keyword(s):  
Decision Making ◽  
Information Retrieval ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Digital Library ◽  
Digital Libraries ◽  
Information Science ◽  
Library And Information Science ◽  
Retrieval Systems ◽  
Information Retrieval Systems

<p>The purpose of this paper is to report the findings of a systematic literature review carried out to investigate the applications and potential roles of thesaurus in digital libraries. It also describes the process of systematic literature review (SLR) followed to carry out this study. 321 unique publications from Library and Information Science Abstracts (LISA) and Scopus had been subjected to SLR, and 29 papers have been analysed. Various possible applications of thesaurus in digital libraries have been identified and described. Also different approaches followed by researchers in choice of the thesaurus have been identified. Search and browse functionalities offered by thesaurus to the users of digital libraries are described. The discussion presented in this paper can play as cues for the digital library administrators in decision making towards implementing thesaurus for enhanced information retrieval. This study would allow researchers of information retrieval systems, including that of digital libraries, to proceed from more informed standpoints. Also, the discussion can be used to evaluate and improve education in library and information science.</p>

Applications of Thesaurus in Digital Libraries

2017 ◽  
Vol 37 (5) ◽  
pp. 313
Author(s):  
Sanjeev K Sunny ◽  
Mallikarjun Angadi
Keyword(s):  
Decision Making ◽  
Information Retrieval ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Digital Library ◽  
Digital Libraries ◽  
Information Science ◽  
Library And Information Science ◽  
Retrieval Systems ◽  
Information Retrieval Systems

<p>The purpose of this paper is to report the findings of a systematic literature review carried out to investigate the applications and potential roles of thesaurus in digital libraries. It also describes the process of systematic literature review (SLR) followed to carry out this study. 321 unique publications from Library and Information Science Abstracts (LISA) and Scopus had been subjected to SLR, and 29 papers have been analysed. Various possible applications of thesaurus in digital libraries have been identified and described. Also different approaches followed by researchers in choice of the thesaurus have been identified. Search and browse functionalities offered by thesaurus to the users of digital libraries are described. The discussion presented in this paper can play as cues for the digital library administrators in decision making towards implementing thesaurus for enhanced information retrieval. This study would allow researchers of information retrieval systems, including that of digital libraries, to proceed from more informed standpoints. Also, the discussion can be used to evaluate and improve education in library and information science.</p>

scholarly journals Brain–computer interface in the context of information retrieval systems in a library

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Magdalena Wójcik
Keyword(s):  
Information Retrieval ◽  
Information Science ◽  
Brain Computer Interface ◽  
Computer Interface ◽  
Library And Information Science ◽  
Content Type ◽  
Retrieval Systems ◽  
Information Retrieval Systems ◽  
The Subject ◽  
State Of Research

PurposeThe subject of this paper is the idea of Brain–Computer Interface (BCI). The main goal is to assess the potential impact of BCI on the design, use and evaluation of information retrieval systems operating in libraries.Design/methodology/approachThe method of literature review was used to establish the state of research. The search according to accepted queries was carried out in the Scopus database and complementary in Google Scholar. To determine the state of research on BCI on the basis of library and information science, a specialist LISTA abstract database was also searched. The most current papers published in the years 2015–2019 in the English language or having at least an abstract in this language were taken into account.FindingsThe analysis showed that BCI issues are extremely popular in subject literature from various fields, mainly computer science, but practically does not occur in the context of using this technology in information retrieval systems.Research limitations/implicationsDue to the fact that BCI solutions are not yet implemented in libraries and are rarely the subject of scientific considerations in the field of library and information science, this article is mainly based on literature from other disciplines. The goal was to consider how much BCI solutions can affect library information retrieval systems. The considerations presented in this article are theoretical in nature due to the lack of empirical materials on which to base. The author's assumption was to initiate a discussion about BCI on the basis of library and information science, not to propose final solutions.Practical implicationsThe results can be widely used in practice as a framework for the implementation of BCI in libraries.Social implicationsThe article can help to facilitate the debate on the role of implementing new technologies in libraries.Originality/valueThe problem of BCI is very rarely addressed in the subject literature in the field of library and information science.

Future of information retrieval systems and the role of library and information science experts in their development

2022 ◽  
pp. 096100062110675
Author(s):  
Abolfazl Asadnia ◽  
Mehrdad CheshmehSohrabi ◽  
Ahmad Shabani ◽  
Asefeh Asemi ◽  
Mohsen Taheri Demneh
Keyword(s):  
Information Retrieval ◽  
Information Science ◽  
Interaction Analysis ◽  
Systematic Research ◽  
Library And Information Science ◽  
Single Star ◽  
Retrieval Systems ◽  
The Future ◽  
Information Retrieval Systems

Many organizations and businesses are using futurology to keep pace with the ever-increasing changes in the world, as the businesses and organizations need to be updated to achieve organizational and business growth and development. A review of the previous studies has shown that no systematic research has been already conducted on the future of information retrieval systems and the role of library and information science experts in the future of such systems. Therefore, a qualitative study was conducted by reviewing resources, consulting experts, doing interaction analysis, and writing scenarios. The results demonstrated 13 key factors affecting the future of information retrieval systems in the form of two driving forces of social determinism and technological determinism, and four scenarios of Canopus star, Ursa major, Ursa minor, and single star. The results also showed the dominance of technology and social demand and its very important role in the future of information retrieval systems.

The nature of information

1979 ◽  
Vol 1 (1) ◽  
pp. 13-17 ◽  
Author(s):  
J. Farradane
Keyword(s):  
Information Retrieval ◽  
Mental State ◽  
Information Science ◽  
Social Reactions ◽  
Retrieval Systems ◽  
Information Retrieval Systems ◽  
Nature Of Information ◽  
Definition Of ◽  
Definition Of Information

Starting from the definition of 'information' as a physical surrogate of knowledge (i.e. a spoken or written record), its relation to the originator, and its transformations on com munication to a recipient, and the recipient's mental state and possibly physical (social) reactions to it, are discussed. The transformations of 'information' in information retrieval systems are also considered. It is argued that this is the essen tial basis for developing a true information science.

scholarly journals Modelos colaborativos de indexação social e sua aplicabilidade em bibliotecas digitais │ Collaborative models of social indexation and its applicability in digital libraries

2015 ◽  
Vol 11 (1) ◽  
Author(s):  
Raimunda Fernanda dos Santos ◽  
Renato Fernandes Corrêa
Keyword(s):  
Information Retrieval ◽  
Literature Review ◽  
Digital Libraries ◽  
Research Methodology ◽  
Information Science ◽  
Scientific Literature ◽  
Digital Environment ◽  
Collaborative Models ◽  
Retrieval Systems ◽  
Information Retrieval Systems

RESUMO Este trabalho discute os modelos colaborativos de indexação social e sua aplicabilidade em bibliotecas digitais. Objetiva identificar na literatura científica de ciência da informação os principais estudos cujo foco está relacionado à construção de modelos que propõem a integração da folksonomia em metadados de sistemas de recuperação da informação. Discorre sobre aspectos relativos à folksonomia a partir da perspectiva do processo de descrição dos documentos em ambiente digital, identificando tipos de modelos colaborativos cujas regras podem ser aperfeiçoadas ou diretamente aplicadas para a indexação colaborativa de objetos informacionais em bibliotecas digitais. A metodologia da pesquisa é bibliográfica e exploratória, pautada pela revisão de literatura sobre a folksonomia, modelos colaborativos de indexação social, metadados e bibliotecas digitais. Conclui-se que há a necessidade de criar metodologias para o uso de metadados gerados pelos usuários, com o objetivo de melhorar a representação da informação em bibliotecas digitais.Palavras-chave: Modelos Colaborativos; Indexação social; Folksonomia; Bibliotecas Digitais.ABSTRACT This article discusses collaborative models of social indexing and their applicability in digital libraries. The objective is to identify in the scientific literature of information science the major studies whose focus is related to the construction of models that propose the integration of folksonomy in metadata for information retrieval systems. It discusses aspects of the folksonomy from the perspective of document description processes in a digital environment, identifying types of collaborative models whose rules can be improved or directly applied to the collaborative indexing of informational objects in digital libraries. The research methodology is bibliographical and exploratory, based on literature review on folksonomy, collaborative models of social indexing, metadata and digital libraries. It concludes that there is a need to create methodologies for use of user-generated metadata, aiming to improve information representation in digital libraries.Keywords: Collaborative Models; Social Indexing; Folksonomy; Digital Libraries.

Structural Text Mining

2005 ◽  
pp. 2658-2661
Author(s):  
Vladimir A. Kulyukin ◽  
John A. Nicholson
Keyword(s):  
Information Retrieval ◽  
Natural Language Processing ◽  
Text Mining ◽  
Language Processing ◽  
World Wide ◽  
Knowledge Bases ◽  
Domain Specific ◽  
Retrieval Systems ◽  
The World ◽  
Information Retrieval Systems

The advent of the World Wide Web has resulted in the creation of millions of documents containing unstructured, structured and semi-structured data. Consequently, research on structural text mining has come to the forefront of both information retrieval and natural language processing (Cardie, 1997; Freitag, 1998; Hammer, Garcia-Molina, Cho, Aranha, & Crespo, 1997; Hearst, 1992; Hsu & Chang, 1999; Jacquemin & Bush, 2000; Kushmerick, Weld, & Doorenbos, 1997). Knowledge of how information is organized and structured in texts can be of significant assistance to information systems that use documents as their knowledge bases (Appelt, 1999). In particular, such knowledge is of use to information retrieval systems (Salton & McGill, 1983) that retrieve documents in response to user queries and to systems that use texts to construct domain-specific ontologies or thesauri (Ruge, 1997).

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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