Research Paper
Evaluation of Information and Knowledge Retrieval Systems
Seyedeh Najmeh Halakoyan; Hassan Behzadi; Sholeh Arastoopoor
Abstract
Purpose: The present study aimed to investigate the impact of cognitive distortions on the information retrieval process. Methodology: This research is a survey study in terms of methodology. The statistical population consisted of postgraduate students, and a stratified random sampling method was used ...
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Purpose: The present study aimed to investigate the impact of cognitive distortions on the information retrieval process. Methodology: This research is a survey study in terms of methodology. The statistical population consisted of postgraduate students, and a stratified random sampling method was used to select 100 participants as the study sample. Data were collected using three researcher-made questionnaires. To confirm validity, the opinions of experts in the field of information retrieval were utilized, and confirmatory factor analysis was employed to validate the structural validity. Findings: The findings of the study revealed that users do not experience specific cognitive distortions during information retrieval. However, the extent of cognitive distortions employed by users varies before initiating the search and retrieval process, with the “magnification” distortion being more prevalent than others. During the search process, the application of cognitive distortions also varied among users, with the “magnification” distortion being the most frequently used. After the search and retrieval process, the extent of cognitive distortions differed as well, with the “overgeneralization” distortion being more prominent compared to others. Conclusions: The presence of certain cognitive distortions at various stages of information retrieval highlights the need for information retrieval system designers to pay attention to this area. The higher prevalence of cognitive distortions in the pre-search phase also indicates that information professionals should closely work with users and provide them with the necessary informational guidance.
Research Paper
Knowledge Management Systems and Technologies
جواد مقتدر کارگران
Abstract
Purpose:In the era of digital transformation, knowledge management is a vital organizational resource for enhancing decision-making, organizational agility, and intellectual capital. This study aims to design a localized framework for applying Generative Artificial Intelligence (GenAI) in knowledge management ...
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Purpose:In the era of digital transformation, knowledge management is a vital organizational resource for enhancing decision-making, organizational agility, and intellectual capital. This study aims to design a localized framework for applying Generative Artificial Intelligence (GenAI) in knowledge management within Iranian government organizations.Method:The research is applied–developmental, conducted through a qualitative approach using the Grounded Theory method. Data were collected via semi-structured interviews with 15 experts in knowledge management, information technology, and digital transformation from governmental agencies. Data analysis followed three coding stages—open, axial, and selective—using MAXQDA software.Findings:The analysis identified five core categories: (1) technological infrastructure, (2) generative knowledge quality management, (3) learning organizational culture, (4) data governance and AI ethics, and (5) feedback and continuous improvement systems. These categories form the proposed conceptual framework for GenAI-based knowledge management in government organizations.Conclusion:The proposed framework can help policymakers redesign knowledge management systems in public sector organizations by leveraging GenAI capabilities. Implementing this framework may enhance decision-making quality, increase organizational agility, and strengthen transparency.
Research Paper
Information and Knowledge Management
mahboubeh ghorbani
Abstract
In light of rapid technological advancements and growing user expectations, information organization has become one of the most challenging areas in the field of librarianship. This study aims to analyze best practices and successful global experiences in information organization, with the goal of offering ...
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In light of rapid technological advancements and growing user expectations, information organization has become one of the most challenging areas in the field of librarianship. This study aims to analyze best practices and successful global experiences in information organization, with the goal of offering practical strategies to enhance cataloging in Iranian libraries.This is an applied research employing a qualitative approach and thematic analysis method. Data were collected through documentary studies and content analysis of reports and implementation projects from leading international libraries and institutions in the field of information organization. The findings reveal five key categories of innovative practices: the development of metadata standards, the establishment of open data services, the implementation of linked data, the use of intelligent technologies, and user participation in metadata creation. The overarching theme identified is “transformation in information organization and accessibility in the digital environment”, reflecting a shift toward intelligent, automated, and user-centered systems. The results of this study can assist Iranian libraries in transitioning from traditional models to the adoption of emerging technologies and improving cataloging service quality. Proposed solutions include replacing traditional software with RDF-based systems, designing intelligent cataloging systems using machine learning, creating open APIs, developing crowdsourcing platforms, establishing publisher deposit systems, and launching a national “WikiLibrary” project. Additionally, developing a national knowledge graph, implementing structured markup, and localizing ISBD are recommended to enhance the interoperability, accuracy, and standardization of bibliographic data.
Research Paper
Semantic Web and Ontology
Razieh Farshid; Saeid Asadi; Davood Haseli; Azadeh Fakhrzadeh
Abstract
Due to the increase in digital images and easy access to digital cameras, imageprocessing and retrieval has become one of the most important research fields. Theaim of this article is to examine the research trend in ontology-driven image retrieval.The statistical population of this study is all research ...
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Due to the increase in digital images and easy access to digital cameras, imageprocessing and retrieval has become one of the most important research fields. Theaim of this article is to examine the research trend in ontology-driven image retrieval.The statistical population of this study is all research that has been indexed in theScopus database by the end of 2024, which is 716 works. Excel, Gephi, BibelExcel andSPSS software were used to analyze the data, and VOSViewer, Excel, and SPSSsoftware were used to draw the graphs. The results showed that the keyword ‘imageretrieval’ is in the first place with a frequency of 572. A co-occurrence analysis led tothe formation of six clusters and the hierarchical diagram of four thematic clusters wasformed. It was concluded that scientific maps are a suitable method for displaying. theincreasing growth of scientific activities and organizing the intellectual and scientificstructure that constitutes a thematic domain.
Research Paper
Information and Knowledge Management
ٖGolnessa Galyani-Moghaddam; Hosein Tavakoli; Reza Maleki
Abstract
In this study, the feasibility of establishing knowledge management with an Asian productivity approach in Islamic Publicity Organization was discussed. The main purpose of this study is to determine the possibility of establishing knowledge management in Islamic Publicity Organization with the approach ...
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In this study, the feasibility of establishing knowledge management with an Asian productivity approach in Islamic Publicity Organization was discussed. The main purpose of this study is to determine the possibility of establishing knowledge management in Islamic Publicity Organization with the approach of the Asian Productivity Organization (APO). The research method is descriptive survey and applied research. A standard questionnaire was used to collect information related to the assessment of the status of knowledge management implementation. Given that the aforementioned questionnaire has been standardized by the Asian Productivity Organization, its validity and reliability have been confirmed and there is no need to re-evaluate its validity and reliability. The questionnaire includes seven criteria. In the stage of collecting information about the background and theoretical foundations of the research, library studies have been used. The instrument used in this study is the Asian Productivity Organization Knowledge Management Readiness Questionnaire. The statistical population of this study includes all experts and specialists of Islamic Publicity Organization. The sample size in this study was determined using the counting method, which is done by 131 persons. According to the results of the questionnaires, the score of the Islamic Publicity Organization is the sum of the scores of seven indicators of leadership (15.51%), process (15.51%), people (14.54%), technology(17.57%), knowledge processes (15.27%), learning and innovation (15.27%) and knowledge management results (14.34%), 107.49 was obtained which shows this score The level of readiness of the Islamic Publicity Organization in the field of knowledge management is at the beginning level.
