Evaluation of Information and Knowledge Retrieval Systems
Mohammad Hassan Azimi; shahnaz khademizadeh; Somayeh Avarand
Abstract
Purpose: The purpose of the present study is to investigate the compliance of the research information system of Shahid Chamran University of Ahvaz with the technical and information criteria of the web environment.Research method: descriptive-applied and combined with quantitative and qualitative methods. ...
Read More
Purpose: The purpose of the present study is to investigate the compliance of the research information system of Shahid Chamran University of Ahvaz with the technical and information criteria of the web environment.Research method: descriptive-applied and combined with quantitative and qualitative methods. In the systematic review section, the theme analysis method was used to extract the technical and information criteria of the web environment, and in this regard, the basic, organizing and comprehensive themes were extracted. In a quantitative part, descriptive statistics tests (frequency and percentage) have been used to check the compliance of Shahid Chamran University of Ahvaz research information system with the technical and information criteria of the web environment.Findings: results of the research in the field of compliance of the research information system of Shahid Chamran University with technical criteria showed 46 basic themes and 7 organizing themes and in field of information criteria, a research system including 51 basic themes and 7 organizing themes. Also, according to the examination and compliance of the research information system of Shahid Chamran University with technical standards in web environment, it has been determined that the contents in system are not properly organized and the support for different parts of system is not provided, and besides that, system guide in There are no different sections.Result: The research information system of Shahid Chamran University of Ahvaz is 47.05% compatible with the information criteria of the web environment and needs a serious revision in its technical and informational structure.
Information and Knowledge Management
samira esmaeili; Mohammad Hassan Azimi; Saeid Asadi
Abstract
The purpose of this study is analysis and visualization of articles published on clinical research data management. It is an applied study conducted with a scientometric approach. The statistical population of this study includes all publicatioons conducted on research data management in the medical ...
Read More
The purpose of this study is analysis and visualization of articles published on clinical research data management. It is an applied study conducted with a scientometric approach. The statistical population of this study includes all publicatioons conducted on research data management in the medical field indexed in the Clarivate Analytics and Scopus databases during 1990 to 2023. The data were collected through by saving the search results in Excel sheets, and the analysis was conducted using a combination of bibliometric tools, including ScientoPy, Ravar-matrix, VOSviewer, UCINET and Python software. The findings showed that the number of articles in Clarivate Analytics and Scopus has grown significantly over the period of 1990 to 2023. The United States, the United Kingdom, and Germany respectively rank first to third in production of research data management articles in the medical field. In general, the trend of publishing scientific products in the field of clinical research data management can be assessed as desirable. Identifying leading countries and researchers in the field of clinical research data management can assist policymaking and planning research related to this field.
Semantic Web and Ontology
Mohammad Hassan Azimi; Samira Esmaeili
Abstract
The purpose of the current research is to draw and analyze the intellectual structure and evolution of knowledge in the field of RDF with the method of co-occurrence analysis of words and clustering of concepts and events in this field. This is an applied research that was carried out with a scientometric ...
Read More
The purpose of the current research is to draw and analyze the intellectual structure and evolution of knowledge in the field of RDF with the method of co-occurrence analysis of words and clustering of concepts and events in this field. This is an applied research that was carried out with a scientometric approach. The statistical population of this research includes all the researches conducted in the field of RDF in the Web of Science database from 1998-2021. Also, the data collection tool in this research is note-taking and the data analysis tool is co-occurrence analysis of words and network analysis using Vosviewer, Netdrow, SPSS and Bibexecl software. The findings of the research showed that the keywords RDF, Semantic web, Ontology, linked data and SPARQL are the most frequent words and the keywords RDF* semantic web, RDF* Academic Ontology and RDF* SPARQL are the most frequent word pairs. Also, the co-occurrence analysis of words network includes six clusters named "data model scalability", "RDF representation of bibliographic entities and relations", "ontology alignment", "semantic web and linked data", "data management and publishing" and "data mining". In addition, the network density is equal to 0.068, which is not in a favorable condition. The clusters of "data model scalability", "ontology alignment", "data management and publishing" and "data mining" have not yet reached sufficient maturity and require a lot of follow-up and research in these fields. The results showed that the scientific productions of the RDF field, despite its upward publication trend, have more subject dispersion and are more oriented towards the semantic web, and the analysis of the co-occurrence network of words in this field also has a greater subject dispersion, which indicates the interest of researchers to various topics in this area.1.IntroductionThe abundance of publications in the field of Resource Description Framework (RDF) presents a challenge for researchers seeking a comprehensive understanding of the domain. RDF, a graph-based data model crucial to the Semantic Web, enables machine-readable data representation and interoperability across systems. The growing volume of RDF-related literature highlights the need for a structured analysis to identify key concepts, trends, and thematic evolution in this interdisciplinary field. Therefore, creating a scientific map of articles in the RDF field using the thesaurus method and presenting a strategic diagram will enhance awareness of published research status, illustrate topic relationships, identify influential topics, mature, emerging, and underdeveloped topics, thematic gaps, and establish sound scientific policies in the field. This study aims to map the intellectual structure and track the knowledge evolution in the RDF domain using scientometric approaches.Research Question(s)What has been the trend in scientific publications within the field of RDF from 1998 to 2021 in the Web of Science database?How the frequency distribution of the most is commonly used keywords in RDF-related articles from 1900 to 2021?What does the co-word network in the RDF domain look like during the period 1900 to 2021?How are the co-word clusters in the RDF domain structured, and what are the thematic topics within each cluster from 1900 to 2021?To what extent have the co-word clusters in the RDF domain matured over the period from 1900 to 20212.Literature ReviewPrevious studies have utilized co-word analysis in various domains such as digital libraries, military trauma, COVID-19, and knowledge management to reveal thematic structures and developmental trajectories. However, there is a gap in applying this approach specifically within the RDF domain. Studies by Alipour-Hafezi et al. (2017), Rezaeizadeh & KaramAli (2018), and Jin & Li (2019) demonstrate the effectiveness of scientometric techniques in visualizing knowledge structures, identifying research gaps, and tracing emergent topics. This study builds upon these methodological foundations to comprehensively explore the RDF field.3.MethodologyThis applied research employs a scientometric methodology grounded in co-word analysis. The dataset includes 1,271 scholarly articles published between 1998 and 2021 and indexed in the Web of Science database. Tools such as VOSviewer, Netdraw, SPSS, BibExcel, and UCINET were used to conduct word co-occurrence analysis, hierarchical clustering, and strategic diagramming. The analytical process involved keyword standardization, matrix generation, network visualization, and calculation of centrality and density indices for identified clusters.4.ResultsThe research findings reveal that keywords such as RDF, Semantic Web, Ontology, Linked Data, and SPARQL are the most frequent, while word pairs like RDF* Semantic Web, RDF* Academic Ontology, and RDF* SPARQL are common. The co-occurrence analysis of the word network reveals six clusters named "data model scalability", "RDF representation of bibliographic entities and relations", "ontology alignment", "semantic web and linked data", "data management and publishing", and "data mining". The network density is 0.068, indicating a less favorable condition. Clusters like "data model scalability", "ontology alignment", "data management and publishing", and "data mining" are not yet mature and require further research.5.DiscussionThe findings suggest that while the RDF domain has seen an increase in publication volume, it still faces thematic fragmentation and limited interdisciplinary integration. High centrality in certain clusters indicates dominance, but low-density values suggest underdeveloped interrelations among concepts. This highlights the need for broader collaboration and diversification of research topics within RDF. The prevalence of semantic web topics reflects current research interests, while emerging areas like data scalability and ontology alignment require more attention.6.ConclusionThis study offers a detailed intellectual mapping of the RDF field, highlighting dominant themes and emerging areas for further exploration. The low network density and dispersed thematic structure emphasize the need for increased interdisciplinary collaboration. Policymakers and researchers are encouraged to support studies in underdeveloped RDF subdomains to promote comprehensive scientific growth. The strategic insights provided by this analysis can guide future research priorities and contribute to the development of a cohesive knowledge structure within the RDF domain.
Evaluation of Information and Knowledge Retrieval Systems
Mohammad Hassan Azimi; Hadi Alhaei
Abstract
1. IntroductionThe explosive growth of information and lack of structuring of information and the problems of information retrieval caused the emergence of the third generation of the web. The third generation of the web, which was called the semantic web, sought the connection between humans and computers ...
Read More
1. IntroductionThe explosive growth of information and lack of structuring of information and the problems of information retrieval caused the emergence of the third generation of the web. The third generation of the web, which was called the semantic web, sought the connection between humans and computers and tried to make information understandable to machines. The Semantic Web, an extended version of the current Web, provides a standard structure for representing and reasoning with data. The semantic web is about sharing data and facts, not sharing the text of a page. The Semantic Web helps build the technology stack to support the "Web of Data" rather than the "Web of Document". The ultimate goal of the Web of Data is to enable computers to perform meaningful tasks and to develop systems that can support reliable network interactions (Patel & Sarika, 2021). Semantic web technologies can be used in various fields such as data integration, skill-finding, online think tanks, serving multimedia collections, and so on. Semantic web technologies can be used in various fields such as data integration, skill finding, online think tank, serving multimedia collections, and such things.It seems that the use of the semantic web in KM software will certainly be effective in providing useful information. In KM, various software appeared, which in the context of KM, play an important role in the field of registration, distribution and sharing, application and use of information and knowledge, automation of processes, reduction of costs of acquisition, creation, organization, and application of a large amount of information and knowledge without time and place restrictions for people in organizations and companies, and causes changes in the methods of production, transfer and use of knowledge in them and prevent the entry and exit of unrelated and repetitive information and knowledge and improper processing of information and knowledge. Therefore, the aim of the current research is to investigate the implementation of semantic web technology in KM software.2. Literature Review Over the past few decades, many technologies related to the Semantic Web have appeared or been developed. The World Wide Web Consortium (W3C), which works intensively on semantic standards, has endorsed the Resource Definition Framework (RDF) and the OWL Web Ontology Language (OWL), which provide a solid foundation for building semantic enterprise applications and Moving the Semantic Web from the research level partially led to its becoming the industry standard needed to build next-generation applications (Tjoa et al., 2005).The Semantic Web is an extension of the current Web that improves machine-human interaction by giving information clear meaning. The idea of the Semantic Web is to hand over most of the tasks and decision-making to machines. This is made possible by adding knowledge to web content through machine-understandable language and creating intelligent software agents that can process this information. The Semantic Web, on the other hand, consists of structured information and explicit metadata, paving the way for rapid access to information and semantic search capabilities (Hassanzadeh & Keyvanpour, 2012). The semantic web was first introduced in 1988 by Tim Bernersley, known as the father of the web. But its definition was officially presented including seven-layer architecture in 2001. These seven layers include (URL), XML, (RDF), (Ontology), (Proof Layer), (Logic Layer) and (Trust Layer) (Gerber, Barnard & Van der Merwe, 2007).The structure of the semantic web is a way of organizing data in a descriptive technology, RDF, which specifies data sources and their relationships, and identifies or names the resource's URAs, and OWL describes specifications. and data classes with a common language. Sparquel is a query language that searches RDF data. Another part of the Semantic Web is making sure that different databases use the same vocabulary to describe everything (Azimi & Rafieinasab, 2022).3. MethodologyThe current research is applied, using a survey method and a descriptive approach. The statistical population of the current research is three KM software, which includes Dana KM software, Nedak comprehensive KM system, and MTA share software, which were investigated and analyzed. The data collection tool was also a checklist using a yes/no scale. After collecting the data and in order to confirm that the criteria of the Semantic Web, the checklist (questionnaire) was provided to the experts, and using their opinion, the presence or absence of the application of the Semantic Web capabilities in the KM software was confirmed. Finally, the obtained data were analyzed in Excel software.4. ResultsTherefore, the present study shows that the architecture of semantic technology in all six layers (URL, XML, RDF, ontology, metadata, and logic) in all three software (Dana KM software, Nedak's comprehensive KM system, and MTA share software) is used and at a favorable level. But the semantic tools for searching and retrieving information in all three layers (ontology, RDF, metadata) in these types of software have not been used much and have not been paid attention to.5. ConclusionThe results show that it is necessary to pay more attention to the application of semantic technology architecture in the comprehensive KM system software of Nadak and MTA share and to use them in all the mentioned layers. It is also necessary to use semantic tools for searching and retrieving information in any software called Dana KM, Nedak Comprehensive KM System in all layers (ontology, RDF, and metadata). In the field of application of web technology architecture, Dana's KM software is at a favorable level compared to the other two software.
Mohammad Hassan Azimi; Shahnaz Khademizadeh; Masoumeh Heydarzadeh
Abstract
The purpose of this study was to Survey of the success key factors application in the implementation of knowledge management in Water and Power Organization of Khuzestan.This research is applied in terms of purpose and a quantitative by using a descriptive survey method. The data collection tool is a ...
Read More
The purpose of this study was to Survey of the success key factors application in the implementation of knowledge management in Water and Power Organization of Khuzestan.This research is applied in terms of purpose and a quantitative by using a descriptive survey method. The data collection tool is a questionnaire whose reliability was calculated by Cronbach's alpha test of 0.87. In the present study, one-sample test, Kolmogorov-Smirnov test has been used. The data of this study were analyzed using SPSS software version 26. The results indicate that the mean of organizational structure (2.89) in knowledge management implemented in the Khuzestan Water and Power Organization is lower than average. Regarding the status of organizational culture (3.20) in knowledge management implemented in Khuzestan Water and power Organization, the results showed that the mean acquisition is higher than average. The results show that the mean status of information technology (3.23) in knowledge management implemented in Khuzestan Water and power Organization is higher than average While the results indicate that the mean status of human resources (2.75) in knowledge management implemented in the Khuzestan Water and power Organization is lower than average. Finally, the results indicate that the leadership status (3.75) in the knowledge management implemented in the Khuzestan Water and power Organization is higher than average. Among the success key factors for the implemented knowledge management; The organizational structure and human resources are not at the desired level and it is necessary to provide the ground for improving the status of these factors by planning in this regard.
Mohammad Hassan Azimi
Volume 2, Issue 3 , July 2015, , Pages 117-135
Abstract
purpose: This study examined the status of service delivery in the collection Shahid Chamran University libraries, including school libraries and the central library. Methodology: The methodology used in this study was a survey using a questionnaire based on the standards of academic libraries. Results: ...
Read More
purpose: This study examined the status of service delivery in the collection Shahid Chamran University libraries, including school libraries and the central library. Methodology: The methodology used in this study was a survey using a questionnaire based on the standards of academic libraries. Results: The results showed that, overall, the services that libraries subsidies are limited, existing standards as well as away. Conclusion: The study revealed a significant gap libraries with relevant standards in this area are examined. It can be concluded that based on the findings, the study population, the services provided by libraries, mainly traditional and modern developments is less than flavor. Especially those services that are user-oriented spirit and their presence in the library can be the manifestation of progress in services, such as interlibrary loan and information services, or in the library of the study does not provide, or that are incomplete and non-efficient. In total, these libraries, the situation is unfortunately a progressive conditions and there are many. The results of this study, like all studies reviewed show in her background of non-compliance with the demands and expectations of users and offers services defined.
