Negin Shokrzadeh; Zoya Abam; Seyed Mahdi Taheri
Abstract
Objective: Today, meta-models are used to organize and manage metadata, therefore, the aim of this review was to examine the research related to the design techniques of meta-models.Methodology: This study was conducted based on a systematic review method. In this review, the Preferred Reporting Items ...
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Objective: Today, meta-models are used to organize and manage metadata, therefore, the aim of this review was to examine the research related to the design techniques of meta-models.Methodology: This study was conducted based on a systematic review method. In this review, the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) framework was employed to ensure a focused review and to present coherent findings. Relevant research was identified through databases and citation sources such as Web of Science, Scopus, Emerald, Taylor & Francis, and Science Direct, and by applying inclusion and exclusion criteria, 22 scholarly outputs were selected for the systematic review.Findings: The findings of the review indicated that metamodel refers to metadata about metadata, providing a higher-level framework that describes the structure, relationships, and contextual purpose of metadata elements in various systems. It essentially aids in the standardization, organization, and interpretation of metadata from multiple sources, facilitating and expediting the integrity, interoperability, and usability of data. Metamodel elements within systems serve as key components for information management and organization. These elements include characteristics related to the quality of metadata, like accuracy, completeness, and currency of the metadata. Meta-models aim to enhance the capabilities of data management and retrieval in complex and heterogeneous systems, incorporating flexible and practical features into their structures.Conclusion: Meta-metadata models,, play a crucial role in optimizing information management and retrieval processes, especially in complex and diverse environments. Implementing these approaches can lead to the development of effective and efficient systems across various fields.
Knowledge Management Systems and Technologies
Seyed Mahdi Taheri; Negin Shokrzadeh
Abstract
Scientific outputs that report on the findings of scientific research play a crucial role in enhancing knowledge, advancing science, and promoting research within academic communities. Therefore, The aim of this research project was to analyze the scientific outputs of Allameh Tabataba’i University ...
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Scientific outputs that report on the findings of scientific research play a crucial role in enhancing knowledge, advancing science, and promoting research within academic communities. Therefore, The aim of this research project was to analyze the scientific outputs of Allameh Tabataba’i University and to represent it in the form of scientific maps, which was conducted using scientometrics research methods. The statistical population of this research consisted of all research reports from Allameh Tabatabai University, totaling 69,420 scientific outputs. In this study, analytical tools from citation databases, reports from the university's research systems, and bibliometric tools were utilized to collect the necessary data. Data analysis was performed using descriptive statistics, social network analysis, and co-occurrence of keywords. UCINET and VOSviewer softwares were employed for analyzing centrality indicators and visualizing the networks. The findings revealed that out of 3,227 articles examined, 1,091 articles (18.6%) were published in the field of social sciences, 666 articles (11.4%) in the field of medicine, and 493 articles (8.4%) in the field of computer science. In terms of book publications, the Faculty of Persian Literature and Foreign Languages led with 1,170 books published. A review of over 28,000 domestic articles from the university showed that the keywords Iran, effectiveness, students, and quality evaluation were most commonly employed. Overall, it can be stated that mapping scientific outputs plays a significant role in enhancing the credibility and transparency of research results, advancing research development, and increasing the visibility of scientific outputs.
Semantic Web and Ontology
Seyyed Mahdi Taheri; Elham Hooshmand; Esmat Momeni; Negin Shokrzadeh Hashtroudi; Mehdi Alipour Hafezi
Abstract
IntroductionOrganizational ontologies are a type of ontology that focuses on identifying and documenting organizational entities. These tools provide a common conceptualization of organizational entities and are utilized for representing organizational knowledge, describing organizational structures, ...
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IntroductionOrganizational ontologies are a type of ontology that focuses on identifying and documenting organizational entities. These tools provide a common conceptualization of organizational entities and are utilized for representing organizational knowledge, describing organizational structures, identifying entities, and revealing the features and relationships of entities. They also, support the dissemination of organizational data, generated reports, organizational history, human resources, and the roles of each of these through a linked data approach. Therefore, the purpose of this research was to design the business ontology of Ehya Sepahan Company based on semantic web data models.Research Question(s)In the present research, the following questions have been addressed:- What are the internal and external entities of the Ehya Sepahan Company and their attributes?- To what extent do the entities and attributes of the Ehya Sepahan Company align with the Schema.org data model?- How is the organizational ontology of the Ehya Sepahan Company structured based on the organizational ontology of the World Wide Web Consortium?Literature ReviewResearch related to ontology design can be divided into two main categories:2.1. Studies that examine the application of ontologiesThe first category includes studies that examine the application of ontologies or the design of ontologies in specific contexts. Research by Sharif (2008), Bavakhani (2015), Hassanzadeh, Kahani, and Pourmasoumi (2016), Mardpour and Dehghan-Tafti (2017), Akbari and Rajabi-Bahjat (2018), Fuchs-Kittowski and Faust (2008), Cavaliere et al. (2019), and Outa et al. (2020) fall into this category. In this context, Bavakhani (2015) explored the interrelationship between ontologies and knowledge management. Cavalier et al. (2019) designed an ontology design model for analyzing video content captured by drones in their study. The findings of the studies in this group indicate that in contemporary organizations, there is a necessity to utilize ontologies in processes related to existing knowledge. 2.2. Studies that specifically address the design of organizational ontologiesThe second category includes studies that specifically address the design of organizational ontologies for various organizations. Research by Delavari (2018), Rajabi and Alineghizadeh Ardestani (2019), Gualtieri and Rafolu (2005), Santos et al. (2013), and Elnagar et al. (2022) are included in this group. Rajabi and Alineghizadeh Ardestani (2019) presented a data-driven approach to develop an architectural model using organizational ontology. Elnagar et al. (2022) offered a framework for the automatic production of ontologies from an organizational perspective in their research.MethodologyThis study was developmental-applied research in nature and qualitative research in terms of approach, conducted using qualitative content analysis and design methods. The statistical population includes all entities of the Ehya Sepahan Company (data entities, human resources, organizational positions), as well as the classes and attributes present in the organizational ontology.The research was conducted in several sections; initially, by examining the organizational ontology, the classes and attributes needed for modeling the entities and attributes present in the Ehya Sepahan Company were identified. Subsequently, through reviewing organizational documents, the organizational structure, job descriptions, and various departments of the company, the organizational entities and the characteristics of each were identified. With the identification of the entities and main concepts of the company, the necessary classes and attributes were determined. Since the aim of this study was to design a company ontology based on a semantic web data model, alongside the main classes and attributes of its organizational ontology, standard metadata classes and attributes from the Schema.org data model were used. In this research, Observation and documentary methods and a checklist are utilized for gathering the required data.ResultsThe findings of this research revealed that the entities of Ehya Sepahan Company are divided into internal and external entities. In total, 9 main entities and 3 external entities were identified for the company’s ontology. Various attributes were provided for each of these 12 entities. A total of 152 attributes were identified for the 12 entities of the company, and these attributes were assigned to different entities. For the internal entities, 147 attributes were used, while for the external entities, 21 attributes were utilized.The findings revealed that most of the attributes considered for company entities are presented in the schema.org standard. So, all the mentioned attributes for Organization, Person, Website, and Product entities in schema.org are consistent with the attributes needed to describe the company entities. the investigation of organizational ontology showed that this ontology has 9 entities and all these entities were used to design the ontology of Ehya Sepahan company. Likewise, the results showed that there is a good alignment between the attributes of the organizational ontology and the schema.org metadata standard. DiscussionBased on the finding it could be said that the entities of the company each possess unique characteristics. Accordingly, specific attributes were considered in the organizational ontology based on the features of each of these entities to provide an accurate and appropriate description of the company and its entities. For a large number of attributes considered for the company’s entities, suitable attributes are provided in schema.org. All the attributes mentioned for organizational entities, such as person, website, and product, align with the necessary attributes needed to describe the company’s entities in schema.org. The reason for this suitable alignment between entities and the attributes of the organizational ontology and schema.org is the comprehensive perspective of schema.org as a semantic web data model for describing various types of data entities.ConclusionIn general, it can be stated that organizational ontologies are one of the efficient tools for accurate description and knowledge discovery of data entities of organizations that can be used to facilitate and speed up processes and decisions in the organization.
