The Scientific Information Exchange General Model at Digital Library Context: Internet of Things

Introduction: This paper aims to develop a Scientific Information Exchange General Model at Digital Library in Context of Internet of things, which would enable automated and efficient library services. To accomplish its objective, the main classes (Concepts), sub-classes, attributes are identified in order to introduce an appropriate model. Methodology: The approach of this study is basic, exploratory, and developmental and is run through a mixed method consisting of documentary, Delphi, and data modeling methods. The study population in the documentary section includes the study of information resources retrieved in related subjects. The study population in the Delphi section is consist of 15 experts in “Internet of Things” and “digital library” domains. The Data gathering procedure is by applying a semi-structured interview. Appropriate software is applied for the analysis. Results: The findings showed that the 9 main classes of “End user”, “librarian”, “Microcomputer”, “Digital library server”, “Automated information services”, “Physical resources”, “Virtual resources”, “Information resources on the digital library server (virtual object)”, and “Security” in general model of scientific information exchange are very contributive. In general, 27 sub-classes and 38 attributes are identified for the main classes for this purpose. In this model, how the classes communicate and interact with one another is illustrated to justify this theme. Conclusion: Here it is deduced that focusing on data protection at two levels of user and server in the main class of security is very important. Focusing on information resources metadata in the entity class, and device to device communication in this model is of essence as well. This proposed model is contributive in information networking in Internet of things-based library systems in providing better services to users. Research value: This model has potential in offering a basic proposal as a startup for automated library services

The Scientific Information Exchange General Model at Digital Library Context: Internet of Things

Introduction: This paper aims to develop a Scientific Information Exchange General Model at Digital Library in Context of Internet of things, which would enable automated and efficient library services. To accomplish its objective, the main classes (Concepts), sub-classes, attributes are identified in order to introduce an appropriate model. Methodology: The approach of this study is basic, exploratory, and developmental and is run through a mixed method consisting of documentary, Delphi, and data modeling methods. The study population in the documentary section includes the study of information resources retrieved in related subjects. The study population in the Delphi section is consist of 15 experts in “Internet of Things” and “digital library” domains. The Data gathering procedure is by applying a semi-structured interview. Appropriate software is applied for the analysis. Results: The findings showed that the 9 main classes of “End user”, “librarian”, “Microcomputer”, “Digital library server”, “Automated information services”, “Physical resources”, “Virtual resources”, “Information resources on the digital library server (virtual object)”, and “Security” in general model of scientific information exchange are very contributive. In general, 27 sub-classes and 38 attributes are identified for the main classes for this purpose. In this model, how the classes communicate and interact with one another is illustrated to justify this theme. Conclusion: Here it is deduced that focusing on data protection at two levels of user and server in the main class of security is very important. Focusing on information resources metadata in the entity class, and device to device communication in this model is of essence as well. This proposed model is contributive in information networking in Internet of things-based library systems in providing better services to users. Research value: This model has potential in offering a basic proposal as a startup for automated library services

The evolution of the commercialization of Knowledge with New Approach of Referenced Publication Years Spectroscopy (RPYS)

The purpose of this study was to identify the most important historical works written in the field of commercialization of knowledge using Referenced Publication Years Spectroscopy (RPYS). Initial data were obtained from the Web of Science (WoS) database to investigate the historical roots of published works in the field of commercialization of knowledge. Then, the main roots of this filed, the amount of received citations, and influential works were identified using RPYS software. Next, with the help of the yearcr software, the extent of the effects of the works outside of the range of peaks were also introduced. The period under investigation is the publication in the years 1900-2015. by searching published works in the time period of 1900-2015, 1550 records related to commercialization of knowledge were retrieved. To exactly investigate the effects of this field, the timeframe was divided into five periods (four 25-year periods and one 15-year period) to allow peaks with a small number of citations in the early years. The total number of citations up to the time of the present research was 39817, which resulted in the emergence of five peaks in the years 1934, 1962, 1973, 1998, and 2003

Identification of Effective Factors on the Use of Query Suggestions through Fuzzy Delphi Method

Purpose: Query suggestions are contributive in formulating queries and improving search results on the Web. This tool is used in most search and retrieval systems like the search engines, databases, personal search tools and so on. The factors affecting the use of query suggestions by the users from the perspective of experts are identified. Methodology: First, a number of factors are identified through the documentary methodology, and next the significance of each factor is determined through the fuzzy Delphi method here. Findings: A total of 48 factor is extracted from the available literature view and is classified into 13 categories of demographic characteristics, search experience, domain knowledge and expertise, linguistic features, user\u27s query, creativity creation, psychological and cognitional, source of creation of query suggestions, contextual factors, semantic features of query suggestions, structural characteristics of query suggestions, increasing the user\u27s performance and ease of use. To assess the importance of these factors eight factors are eliminated and 40 factors are identified as the final factors affecting the use of query suggestions through Fuzzy Delphi method. Research limitations/implications:The results of this research can be used to present a structural-interpretation model in which the most important factor is identified through the view of the experts. Originality/Value: The results obtained in this study will assist researchers and designers of search tools to apply the knowledge gained from effective factors in providing algorithms for query suggestions in their search tools. The factors extracted in this study are fundamental and basic which researchers can use when examining the performance and status of the query suggestion of each search tool

The Scientific Information Exchange General Model at Digital Library Context: Internet of Things

Introduction: This paper aims to develop a Scientific Information Exchange General Model at Digital Library in Context of Internet of things, which would enable automated and efficient library services. To accomplish its objective, the main classes (Concepts), sub-classes, attributes are identified in order to introduce an appropriate model. Methodology: The approach of this study is basic, exploratory, and developmental and is run through a mixed method consisting of documentary, Delphi, and data modeling methods. The study population in the documentary section includes the study of information resources retrieved in related subjects. The study population in the Delphi section is consist of 15 experts in “Internet of Things” and “digital library” domains. The Data gathering procedure is by applying a semi-structured interview. Appropriate software is applied for the analysis. Results: The findings showed that the 9 main classes of “End user”, “librarian”, “Microcomputer”, “Digital library server”, “Automated information services”, “Physical resources”, “Virtual resources”, “Information resources on the digital library server (virtual object)”, and “Security” in general model of scientific information exchange are very contributive. In general, 27 sub-classes and 38 attributes are identified for the main classes for this purpose. In this model, how the classes communicate and interact with one another is illustrated to justify this theme. Conclusion: Here it is deduced that focusing on data protection at two levels of user and server in the main class of security is very important. Focusing on information resources metadata in the entity class, and device to device communication in this model is of essence as well. This proposed model is contributive in information networking in Internet of things-based library systems in providing better services to users. Research value: This model has potential in offering a basic proposal as a startup for automated library services

The evolution of the commercialization of Knowledge with New Approach of Referenced Publication Years Spectroscopy (RPYS)

The purpose of this study was to identify the most important historical works written in the field of commercialization of knowledge using Referenced Publication Years Spectroscopy (RPYS). Initial data were obtained from the Web of Science (WoS) database to investigate the historical roots of published works in the field of commercialization of knowledge. Then, the main roots of this filed, the amount of received citations, and influential works were identified using RPYS software. Next, with the help of the yearcr software, the extent of the effects of the works outside of the range of peaks were also introduced. The period under investigation is the publication in the years 1900-2015. by searching published works in the time period of 1900-2015, 1550 records related to commercialization of knowledge were retrieved. To exactly investigate the effects of this field, the timeframe was divided into five periods (four 25-year periods and one 15-year period) to allow peaks with a small number of citations in the early years. The total number of citations up to the time of the present research was 39817, which resulted in the emergence of five peaks in the years 1934, 1962, 1973, 1998, and 2003