Articles
Publication Date: 2025/03/21
Iranian Journal of Information Processing and Management (22518223)40(3)pp. 865-899
The aim of this study is to design an ontology for occupations within the field of Information Science and Knowledge Studies. This research is applied in nature and follows a descriptive research methodology. The study population includes all occupations related to information science and knowledge studies. To identify and compile a list of occupations in this field in Iran, various resources were reviewed, including the regulations of the National Employment Organization, the Iranian Job Bank book, and lists of occupations related to information science and knowledge studies from advanced countries. Following this, based on an analysis of the curriculum and the skills acquired by students in this field, a number of occupations were identified and incorporated into the final list. For the conceptual modeling of occupations within information science and knowledge studies, a domain analysis approach was utilized, and the content and face validity of the proposed model were confirmed by eight experts in professional studies within the country. Finally, the ontology for occupations in information science and knowledge studies was designed using version five of the Protégé software. This study employed the seven-step ontology development methodology proposed by Sandelowski, which includes determining the scope of the ontology, establishing the ontology hierarchy, identifying conceptual pairs, defining classes, describing attributes, specifying facets, and creating instances. The study identified various occupations and the skills required for each, resulting in an ontology comprising four main classes and 90 subclasses. The proposed ontology can significantly contribute to the classification of occupations and the creation of knowledge-based job databases. Furthermore, it can assist relevant institutions and organizations, such as the Iranian Library and Information Science Association, in defining job positions within the field. Academic groups and students can also use this ontology to support the teaching and learning of the skills needed for employment.
Publication Date: 2024/03/20
Iranian Journal of Information Processing and Management (22518223)39(3)pp. 865-885
Introduction and purpose: The portfolio theory is one of the theories in the financial field that was presented by Harry Markowitz. This theory states that investors should diversify their stock portfolio to reduce investment risk. This research has been conducted with the aim of investigating the applications of portfolio theory in information and knowledge retrieval. Method: The current research is applied in terms of purpose and qualitative research in terms of method. In the current study, the main concepts of modern portfolio theory were extracted using the method of content analysis and text analysis. In the next step, based on the method of evaluation and comparison, the functions of modern portfolio theory in information retrieval and the field of information science and epistemology were identified and determined. Finally, 12 experts in knowledge management, information and knowledge retrieval, indexing, cataloging, information systems, and librarians were selected as an expert panel. Then, during 7 sessions and by conducting interviews, using questionnaires, and holding individual and group meetings, the functions of modern portfolio theory were extracted. Findings: The results of the research showed that the modern theory of portfolio is effective in the process of information retrieval and can have an impact on 5 groups of creators, indexers, information system users, information systems,s and librarians and have a positive effect on improving the retrieval process. Conclusion: The results of the research showed that the portfolio theory has an impact on the influential groups in the recovery process and can play a role in improving the performance of the information recovery system. One of the most critical applications of portfolio theory is its use in ranking retrieved documents, increasing the connection between retrieved documents, reducing false fallout, increasing the percentage of information recovery, creating the possibility of semantic search, increasing comprehensiveness, and categorizing information based on subject areas. The current research can be the beginning of investigating other applications of the portfolio theory in information retrieval and makes it possible to carry out more detailed investigations in this field.
