Indexing and Abstracting as Tools for Information Retrieval in Digital Libraries

2018 ◽  
pp. 573-595
Author(s):  
Olaronke O. Fagbola
Keyword(s):  
Information Retrieval ◽  
Literature Review ◽  
Digital Libraries ◽  
Information Resource ◽  
Potential User ◽  
Retrieval Process ◽  
Road Signs ◽  
Retrieval Systems ◽  
Knowledge Organisation ◽  
Information Retrieval Systems

Indexing and abstracting are like Siamese twins in the information retrieval process. Indexing and abstracting are the two approaches to distilling information content into an abbreviated, but comprehensive representation of an information resource(s). They are knowledge organisation tools which usually provide detailed and accurate maps and road signs in the information superhighway. Digital libraries are characterised by an electronic stock of information which can be accessed via computers, and are extension and augmentations of physical libraries in digital forms. They are information retrieval systems (a device interposed between a potential user of information and the information itself) which provide opportunities to access and retrieve information that is often accessible for a variety of reasons. This chapter presents a literature review on indexing and abstracting, information retrieval process, digital libraries pointing out the importance of indexing and abstracting in the information retrieving process and then highlighting the roles played by indexing and abstracting as tools for information retrieval in digital libraries. The chapter posits that indexing and abstracting plays a significant role as information retrieval tools in digital libraries.

Indexing and Abstracting as Tools for Information Retrieval in Digital Libraries

2016 ◽  
pp. 156-178
Author(s):  
Olaronke O. Fagbola
Keyword(s):  
Information Retrieval ◽  
Literature Review ◽  
Digital Libraries ◽  
Information Resource ◽  
Potential User ◽  
Retrieval Process ◽  
Road Signs ◽  
Retrieval Systems ◽  
Knowledge Organisation ◽  
Information Retrieval Systems

Indexing and abstracting are like Siamese twins in the information retrieval process. Indexing and abstracting are the two approaches to distilling information content into an abbreviated, but comprehensive representation of an information resource(s). They are knowledge organisation tools which usually provide detailed and accurate maps and road signs in the information superhighway. Digital libraries are characterised by an electronic stock of information which can be accessed via computers, and are extension and augmentations of physical libraries in digital forms. They are information retrieval systems (a device interposed between a potential user of information and the information itself) which provide opportunities to access and retrieve information that is often accessible for a variety of reasons. This chapter presents a literature review on indexing and abstracting, information retrieval process, digital libraries pointing out the importance of indexing and abstracting in the information retrieving process and then highlighting the roles played by indexing and abstracting as tools for information retrieval in digital libraries. The chapter posits that indexing and abstracting plays a significant role as information retrieval tools in digital libraries.

Indexing and Abstracting as Tools for Information Retrieval in Digital Libraries

2018 ◽  
pp. 905-927
Author(s):  
Olaronke O. Fagbola
Keyword(s):  
Information Retrieval ◽  
Literature Review ◽  
Digital Libraries ◽  
Information Resource ◽  
Potential User ◽  
Retrieval Process ◽  
Road Signs ◽  
Retrieval Systems ◽  
Knowledge Organisation ◽  
Information Retrieval Systems

Indexing and abstracting are like Siamese twins in the information retrieval process. Indexing and abstracting are the two approaches to distilling information content into an abbreviated, but comprehensive representation of an information resource(s). They are knowledge organisation tools which usually provide detailed and accurate maps and road signs in the information superhighway. Digital libraries are characterised by an electronic stock of information which can be accessed via computers, and are extension and augmentations of physical libraries in digital forms. They are information retrieval systems (a device interposed between a potential user of information and the information itself) which provide opportunities to access and retrieve information that is often accessible for a variety of reasons. This chapter presents a literature review on indexing and abstracting, information retrieval process, digital libraries pointing out the importance of indexing and abstracting in the information retrieving process and then highlighting the roles played by indexing and abstracting as tools for information retrieval in digital libraries. The chapter posits that indexing and abstracting plays a significant role as information retrieval tools in digital libraries.

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.

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>

Evaluating the effectiveness of thesauri in digital information retrieval systems

2018 ◽  
Vol 36 (1) ◽  
pp. 55-70 ◽  
Author(s):  
Sanjeev K. Sunny ◽  
Mallikarjun Angadi
Keyword(s):  
Information Retrieval ◽  
Information Systems ◽  
Data Collection ◽  
Literature Review ◽  
Evaluation Studies ◽  
Digital Information ◽  
Content Type ◽  
Evaluation Measures ◽  
Retrieval Systems ◽  
Information Retrieval Systems

Purpose The purpose of this study is to carry out a systematic literature review for evidence-based assessment of the effectiveness of thesaurus in digital information retrieval systems. It also aimed to identify the evaluation methods, evaluation measures and data collection tools which may be used in evaluating digital information retrieval systems. Design/methodology/approach A systematic literature review (SLR) of 344 publications from LISA and 238 from Scopus has been carried out to identify the evaluation studies for analysis, and 15 evaluation studies have been analyzed. Findings This study presents evidences for the effectiveness of thesaurus in digital information retrieval systems. Various methods for evaluating digital information systems have been identified. Also, a wide range of evaluation measures and data collection tools have been identified. Research limitations/implications The study was limited to the literature published in English language and indexed in LISA and Scopus. The evaluation methods, evaluation measures and data collection tools identified in this study may be used to design more cognizant evaluation studies for digital information retrieval systems. Practical implications The findings have significant implications for the administrators of any type of digital information retrieval systems in making more informed decisions toward implementation of thesaurus in resource description and access to digital collections. Originality/value This study extends our knowledge on the potentials of thesauri in digital information retrieval systems. It also provides cues for designing more cognizant evaluation studies for digital information systems.

scholarly journals Design and implementation of an effective web-based hybrid stemmer for Odia language

2020 ◽  
Vol 9 (1) ◽  
pp. 12
Author(s):  
Gouranga Charan Jena ◽  
Siddharth Swarup Rautaray
Keyword(s):  
Information Retrieval ◽  
Morphological Analysis ◽  
Retrieval System ◽  
Hybrid Approach ◽  
Information Retrieval System ◽  
Retrieval Process ◽  
Web Based ◽  
Retrieval Systems ◽  
Information Retrieval Systems ◽  
Domain Independent

<p><span>Stemmer is used for reducing inflectional or derived word to its stem. This technique involves removing the suffix or prefix affixed in a word. It can be used for information retrieval system to refine the overall execution of the retrieval process. This process is not equivalent to morphological analysis. This process only finds the stem of a word. This technique decreases the number of terms in information retrieval system. There are various techniques exists for stemming. In this paper, a new web-based stemmer has been proposed named as “Mula” for Odia Language. It uses the Hybrid approach (i.e. combination of brute force and suffix removal approach) for Odia language. The new born stemmer is both computationally faster and domain independent. The results are favourable and indicate that the proposed stemmer can be used effectively in Odia Information Retrieval systems. This stemmer also handles the problem of over-stemming and under-stemming in some extend.</span></p>

Information Retrieval System

2018 ◽  
Vol 9 (1) ◽  
pp. 1-10 ◽  
Author(s):  
Ram Kumar ◽  
S. C. Sharma
Keyword(s):  
Information Retrieval ◽  
Retrieval System ◽  
Information Retrieval System ◽  
Process Performance ◽  
Retrieval Process ◽  
Complete Understanding ◽  
Relevant Document ◽  
Retrieval Systems ◽  
Information Retrieval Systems ◽  
Performance Issues

Information Retrieval Systems (IRS) have dramatically changed the ways how people acquire information for their need. Information Retrieval (IR) enables user to find relevant document from collection of countless resources. This article presents an overview of IRS. Objectives of this article is to answer all the basic and specific questions related to IRS. In contrast to other review papers, the authors provide a complete understanding of IR in single paper. Starting from definition and importance it covers retrieval process, performance issues, and comparison among various approaches. This article also includes description of different models along with analysis of their merits and demerits. This article proposes a list of challenges, still unanswered by existing systems. Before offering a conclusion, the major applications of IR are also listed.

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 &amp; 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.

Efektivitas Sistem Temu Kembali Informasi Perpustakaan Digital Institut Seni Indonesia (ISI) Yogyakarta dalam Tinjauan Recall dan Precision

2021 ◽  
Vol 28 (1) ◽  
pp. 37-48
Author(s):  
Thoriq Tri Prabowo
Keyword(s):  
Information Retrieval ◽  
Interior Design ◽  
Digital Library ◽  
Digital Libraries ◽  
Retrieval System ◽  
Relevant Information ◽  
Information Retrieval System ◽  
Digital Information ◽  
Retrieval Systems ◽  
Information Retrieval Systems

Today's digital library is a necessity. A system that provides all-digital information and services requires that all aspects of it should be accessed effectively. In the context of information retrieval in digital libraries, the information retrieval systems are important instruments. The system becomes a link between relevant information and its users. Evaluation of the information retrieval system to determine its effectiveness is important to ensure that users receive good retrieval services. Recall and precision are approaches to measure the effectiveness of information retrieval systems that are widely used. This study aims to determine the effectiveness of the ISI Yogyakarta digital library retrieval system based on recall and precision approaches. This study will provide benefits for librarians in knowing the effectiveness of the information retrieval system and the extent of their accuracy in indexing. This research uses an experimental method with a quantitative approach. The researcher chose a sample of the searching keywords purposively and then tested them by searching on the portal http://digilib.isi.ac.id/. The data obtained were analyzed using the formula recall and precision. In this study the subjects tested were interior design subjects. The precision measurement of 10 keywords on the subject of interior design gets 92.37% results while the recall measurement gets 80.79% results. The result stated that precision is higher than recall, it showed that the information retrieval system of ISI Yogyakarta’s digital library is quite effective.

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