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Iranian Journal of Information Processing and Management (22518223) 35(3)pp. 817-846
Theoretical foundations and philosophical basis of library classification systems have always been important for information science professionals. This research studies the philosophical foundations and logical basis of the classification systems and structure of human knowledge and studies the logical basis of library classifications Scheme. Challenges and problems of traditional ideas about knowledge organization and its hierarchical structure have been studied and rhizomatic thought has been proposed as an alternative model for the tree and hierarchical structure especially for the organization of digital and hypertext information on the web. In Western thought, the tree structure based on Aristotelian logic has been the dominant model of classification and due to its problems, the rhizomatic structure is suggested. Information structure in digital space such as rhizomes moves in many directions and creates a multiplicity of connections and relations. The growth and emergence of interdisciplinary studies can be seen as evidence. Traditional, tree-based and hierarchical discourse of information organization isn’t enabled to understand the nature and characteristics of the digital information space and so to organize it. Necessarily to a paradigm shift, rhizomatic thinking can be a good alternative to traditional information organizing thinking.
Iranian Journal of Information Processing and Management (22518223) 35(4)pp. 921-952
The purpose of this study was to analyze the quantitative and critical content of research conducted by Iranian researchers in digital libraries in terms of research method, research community, topics, authors and their organizational affiliation and results of previous researches. The research method is quantitative content analysis. According to the mentioned purpose, the authors’ information, titles, abstracts, keywords of articles and dissertations related to this field of researches were analyzed. The statistical population of the study consists of 208 Iranian research outputs (137 articles and 71 theses) in the field of digital libraries that were selected based on their internal validity criteria. And to extract the data needed for the research, the research was conducted with the aim of analyzing quantitative and critical content in the field of digital libraries. In terms of place of publication and research, in research articles, Iranian Journal of Information Processing & Management (12) frequency; in Extension Articles, Journal of Monthly Books (12) frequency; and in the theses, Islamic Azad University of Tehran - North Branch (12) frequency، gained the most statistics. In terms of topics used, the results showed that topics such as “evaluation of digital libraries”, “concepts of digital, virtual and electronic libraries”, “feasibility of creating digital libraries” and “digital libraries user interface” gained the most attention. The results of content analysis indicate that the issue of digital libraries in previous researches of recent years has been growing in recent years and new topics such as semantic web, mapping, semantic integration and organization in this area have attracted the attention of researchers. The research has also shown that first, the bulk of the research sought to introduce and promote the conceptual and exemplary nature of the digital library, the knowledge that is largely available in English. Second, much of the research is repetitive. Third, no research has been done on the development of the digital library in terms of concept or technology. In addition, the results of some previous methodological research show that the most prominent examples are research methods that are quite feasible. Overall, the study of the topics studied and their timing in the field of theory and practice of digital libraries in Iran led to the identification of research gaps in this field. Researchers are therefore encouraged to look at other aspects of digital libraries that have not been studied or devoted to less research.
Iranian Journal of Information Processing and Management (22518223) 32(3)pp. 605-630
This research aims to study the presence contexts of infodemiology and the introduction and expansion of its framework. Based on Eysenbach’s View, infodemiology can be defined as the science of distribution and determinants of information in an electronic medium, specifically the Internet, or in a population, with the ultimate aim to inform public health and public policy. In this review article, library method has been used to define and describe the term “infodemiology” and its dimensions. In this study after an introduction investigating the present setting, and defining the concept of infodemiology, the framework of this science and its measurements has been studied and finally the relationship between infodemiology and public health has been described. According to the results, digital media technologies resulted in paradigm shift in choosing the ways in which people search their health information. The researches in this domain have been resulted in credible and significant measurements to track health information supply and demand. Also, infodemiological researches cause specialists design and develop health information databanks based on given measurements. The studies show that there is the possibility of applying some measurements as alarm systems for proliferating infection diseases or presence of new diseases. These measurements are called “infodemiology measurements” which reflect supply-based infodemiology and demand-based infodemiology. According to these, data collecting in this field and using its measurements could be useful in policy-making.
آموزش مهندسی ایران (16072316) (48)pp. 1-23
This research intends to analyze Iranian Engineering Scientific Outputs during 1990-2008 in the Dialog Database. Dialog is a collection of more than 900 databases that covers also the ISI Science Citation index as SciSearch since 1990. This research has been done by scintometrics method and citation analysis. The number of documents indexed by Iranian writers in Science Citation Index has been 8396. Growth of Scientific outputs in the field of engineering during this period is 24 percent. Kaveh is the most productive author with 82 documents and ASTM is the highest cited author with 120 citations. The highest volume of documents indexed in the dialog related to Chemical Engineering and Electrical Engineering subject categories respectively. Iranian Journal of Chemistry & Chemical Engineering with 348 documents has released the highest number of productions. Among universities and research institutes, Sharif University of Technology has the highest scientific outputs in this area. Articles have the highest percentage of documents published in ISI journal by 97/24 percent and English with 99/8 percent is the main language of the published documents. The highest rate of participation of Iranian writers for publishing documents is with U. S. and Canada respectively.
Journal of Librarianship and Information Science (09610006) 56(1)pp. 178-197
This study has developed a combined indicator to evaluate the performance of different search engines. Documentary analysis, survey, and evaluative methods are employed in the present study. The research was conducted in two stages. First, a combined indicator was designed to measure search engines. To this end, 72 criteria for measuring the performance of search engines were identified, out of which 22 criteria were selected. Accordingly, 10 criteria were selected in six general classes through a survey of subject matter experts. Validation of our proposed combined indicator was obtained by Delphi method and using the opinions of experts in the fields of information science and information system. Second, web search engines were evaluated based on the proposed combined indicator. The statistical population of this part of the research consisted of two categories: (1) general web search engines, and (2) general subjects. The sample size of the first category contained four search engines Yahoo, Google, DuckDuckGo, and Bing, and the second category involved 40 search terms under 10 general categories. The results showed that the combined indicator had six general criteria: (1) relevance, (2) ranking, (3) novelty ratio, (4) coverage ratio, (5) ratio of unrelated documents, and (6) proportion of duplication hits. According to this indicator, Google is at the top, followed by Bing. This study proposes a new indicator for evaluating search engine performance, which can measure the efficiency of search engines. Therefore, its use to measure the performance of search engines is recommended to researchers and search engine developers. © The Author(s) 2022.
Journal of Information Science (01655515)
Recent developments in the information ecosystem and the changes of the knowledge organisations have resulted in a growing tendency towards a new generation of libraries. This study intends to reflect the characteristics, necessities and challenges of smart libraries using the documentary research method. In total, 78 research articles from the top 17 databases were reviewed. A total of 128 concepts were identified in different aspects, such as technology (n = 53), services (n = 36), people (n = 19), management (n = 7), space and place (n = 9), governance (n = 2), and moral and legal matters (n = 2). The characteristics, necessities, reasons, challenges and obstacles of smart libraries are multidimensional, complex and varied. Smart libraries employ various technologies to facilitate the interaction between people and resources and between people and libraries, while also enabling intelligent administration. This work assists researchers, designers and librarians in how to develop and improve smart libraries. © The Author(s) 2024.
Public Library Quarterly (01616846) 43(5)pp. 577-602
The general subject trends and emphasized points of Community Librarianship (CL) researches are not clear. According to reviewed papers, CL encompasses a wide range of social issues. This dispersion and diversity require presenting a comprehensive map of the thematic trends. The present study showed the concept of “social capital” is the underlying base for the literature of CL, which is the outcome of dialogue and interactive space of libraries. Also, historically, the related publications can be classified into five categories: 1) promoting the democratic culture and training informed and participating citizens 2) improving e-government; 3) library as a place for creating social capital; 4) sharing consumer health information; and 5) natural crises and disasters. The results of this study can show and reflect the “common good” of public libraries, that can effectively provide insight for librarians, attract policymakers’ support, and maintain the position and future of these libraries. © 2024 The Author(s). Published with license by Taylor & Francis Group, LLC.
Journal of Librarianship and Information Science (09610006) 55(1)pp. 177-190
Many organizations and businesses are using futurology to keep pace with the ever-increasing changes in the world, as the businesses and organizations need to be updated to achieve organizational and business growth and development. A review of the previous studies has shown that no systematic research has been already conducted on the future of information retrieval systems and the role of library and information science experts in the future of such systems. Therefore, a qualitative study was conducted by reviewing resources, consulting experts, doing interaction analysis, and writing scenarios. The results demonstrated 13 key factors affecting the future of information retrieval systems in the form of two driving forces of social determinism and technological determinism, and four scenarios of Canopus star, Ursa major, Ursa minor, and single star. The results also showed the dominance of technology and social demand and its very important role in the future of information retrieval systems. © The Author(s) 2022.
Information Research (13681613) 28(1)pp. 78-105
Introduction. Given the importance of the issue of the widespread impact of scientific and technical publications in today's world, and the diversity and multiplicity of indicators for measuring these publications, it is a necessity to classify these indicators from different angles and through different tools and methods. Method. This study used documentary analysis and Delphi technique methods. The members of the Delphi panel were twenty-one experts in metric fields in information science who answered the research questionnaires several times until reaching a consensus. Analysis. Kendall’s coefficient of concordance and a one-sample t-test were used to measure the agreement of the panel members as raters on the questionnaire items. Results. A total of thirty-four sub-categories of indicators of assessment were identified which were categorised according to their similarities and differences into eight main categories as follows: measurement method, measurement unit, measurement content, measurement purpose, measurement development, measurement resource, measurability, and measurement environment. Conclusion. Classification of the indicators of evaluation for scientific and technical publications and related factors can lead to improved understanding, critique, modelling and development of indicators. The findings of this study can be considered a basis for further research and help develop evaluative theoretical foundations in scientific and technical publications and related factors. © 2023, University of Boras. All rights reserved.
Journal of Psycholinguistic Research (15736555) 52(2)pp. 607-630
This study adopted descriptive and explorative methods to analyze 2162 published documents, in general, and 1903 articles, in particular, in System from 1973 to 2020 based on the Scopus database. Data preprocessing and analysis were performed using data mining, text mining, and bibliometric techniques through Excel, VOSviewer, and RapidMiner software. To analyze the article titles and identify their themes, N-Grams was considered among the text mining techniques. From the data mining techniques, clustering was applied to explore the clusters of languages, educational technologies, technological spaces for foreign languages, etc. Bibliometric techniques such as co-authorship networks and citation analysis were in turn used to analyze the tops and trends of research in System. The results are classified into 5 categories including: (1) journal status; (2) publication trend; (3) articles with and without abstract/keyword; (4) highly-cited and uncited articles; (5) core and poor topics and keywords. The core topics are English as a Foreign Language, motivation, and second language acquisition. Among the languages, English, Chinese, and Japanese are at the top, and Italian, Danish, Persian, and Taiwanese are less discussed. Based on the findings, System has moved in line with its goals and scope, which are the applications of educational technology and applied linguistics to solve the problems of foreign language teaching and learning. © 2022, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.
Information Development (17416469) 38(4)pp. 522-534
This experimental study used a checklist to evaluate the performance of seven search engines consisting of four Image General Search Engines (IGSEs) (namely, Google, Yahoo DuckDuckGo and Bing), and three Image Specialized Search Engines (ISSEs) (namely, Flicker, PicSearch, and GettyImages) in image retrieval. The findings indicated that the recall average of Image General Search Engines and Image Specialized Search Engines was found to be 76.32% and 24/51% with the precision average of 82/08% and 32/21%, respectively. As the results showed, Yahoo, Google and DuckDuckGo ranked at the top in image retrieval with no significant difference. However, a remarkable superiority with almost 50% difference was observed between the general and specialized image search engines. It was also found that an intense competition existed between Google, Yahoo and DuckDuckGo in image retrieval. The overall results can provide valuable insights for new search engine designers and users in choosing the appropriate search engines for image retrieval. Moreover, the results obtained through the applied equations could be used in assessing and evaluating other search tools, including search engines. © The Author(s) 2021.
Archives Of Iranian Medicine (10292977) 25(4)pp. 224-234
Background: Detecting the main actors and important topics of Iranian cancer research is essential for Iranian policymakers, clinicians, and researchers. This study was conducted to demonstrate the trends and tops in Iranian cancer research from 1960 to 2018. Methods: A total of 22,370 Iranian cancer articles in Web of Science (WoS), PubMed, and Scopus, from 1960 through 2018, were extracted and preprocessed based on data mining techniques and analyzed using the collaboration network analysis, keywords analysis, and bibliometrics methods. Results: The results reveal that, Tehran University of Medical Sciences (11.46%) among organizations, Asian Pacific Journal of Cancer Prevention (5%) among journals, Malekzadeh R (1.09%) among authors, and Breast cancer (10.37%) among topics ranked the first. The trend of Iranian cancer research represents three periods: 1) germinating period, from 1970 to 2000, 2) developing period, from 2002 to 2014, and 3) flourishing period, from 2014 to 2018. It is expected that this trend will continue. The results indicate an average 12.8% increase in the logarithm of the count of articles published by Iranian cancer researchers each year. The findings are contextualized with Price's publications trends principal for determining global and Iranian cancer research publication trends. Conclusion: The number of research papers published by Iranian researchers on cancer is increasing. In order to maintain the publication growth in this field, greater participation by other Iranian institutions is suggested. Although the quantity and quality of papers are increasing in some topics, certain topics and types of cancers should be still further studied and the Iranian policymakers should be encouraged to invest more in these topics. © 2022 Academy of Medical Sciences of I.R. Iran. All rights reserved.
Iranian Journal of Information Processing Management (22518231) 37(2)pp. 587-616
The purpose of this research is to develop and evaluate a scientific information exchange model at digital library on Internet of things. In order to attain the objective, the model's components are extracted first. This study is a developmental study using mixed method consisting of documentary, focus group, data modeling, and quantitative evaluation methods. The study population in the documentary section includes the study of information resources retrieved in related subjects. The study population in the focus group section consists of 9 experts in “Internet of things” and “digital library”. Data gathering procedure was done by applying a checklist, and Edraw Max, Protégé, evaluation tab of Protégé software is applied for the analysis. Based on the findings of the documentary method (examining 10 core models and ontologies in the field of Internet of Things, physical and virtual objects), 44 key concepts, 108 sub-concepts, and 62 attributes constitute the primary core elements of scientific information exchange model at digital library in the context of internet of things. The findings showed that the 9 main classes, namely “end-user”, “librarian”, “microcomputer”, “digital library server”, “automated information services”, “physical resources”, “virtual resources”, “information resources on the digital library server”, 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, the way the classes communicate and interact with one another is illustrated to justify this theme. The evaluation of the model showed that the hierarchical structure of the concepts is not dense and some types of property and property restriction have not been considered. To make use of Internet of Things in libraries, the modeling of all the essential elements and properties of the internet of things in libraries must be incorporated into a model that constitutes the logical structure of the digital library scientific information exchange database system. This model can serve as a database map for database professionals and designers. © 2021 Iranian Research Institute for Scientific Information and Documentation. All rights reserved.
Iranian Journal of Information Processing Management (22518231) 36(2)pp. 297-328
The purpose of this study is to explore the thematic trend analysis of Iranian articles in Library and Information Science based on Topic modeling (LDA) and linear regression model. The population of this study consists of 709 articles indexed in Scopus during 2008-2009. In order to achieve the research objectives, the data were analyzed using text mining algorithms, especially LDA thematic modeling algorithms using R software. The results showed that among the extracted topics, there are topics that have high research popularity and are considered as hot topics. These topics include library services on social media, research models, social capital, medical databases, data mining, scientific production trends, interdisciplinary studies, cyberspace algorithms, knowledge management, social media studies, research approaches, and future studies. Also, topics that are less popular and are considered as cold topics include areas such as electronic resources, information management system, search engines, book loan services, distance services, e-learning, e-government, journal evaluation indicators, evaluation of web resources, and digital libraries. The results indicated that Library and Information Science research in Iran has developed in line with the growth of technologies and global topics and has established the relationship between Library and Information Science subject area and new fields of data mining, artificial intelligence, semantic retrieval, ontologies, information architecture, digital publishing, social networks, and databases. © 2021 Iranian Research Institute for Scientific Information and Documentation. All rights reserved.
Iranian Journal of Information Processing Management (22518231) 36(3)pp. 861-892
In contemporary world where information is all about human beings, what matters most is the accurate retrieval of information. Information retrieval has always been a human concern, which is why it is constantly undergoing many changes. One of the issues that information retrieval experts have always been thinking about is designing an efficient information retrieval system. Therefore, by identifying the key factors affecting the future of information retrieval, we can be more successful in designing such a system and have a greater share in the future of information retrieval. In the present study resource review and cross-impact analysis methods, and MicMac software was used to analyze interactions and identify key factors. The results of the present study lead to the identification of 13 key factors: 1. conversion of traditional libraries to digital, 2. development and upgrading of search engines, 3. new content formats, 4. intelligence of data collection methods, 5. convergence media, 6. increasing content production, 7. new generation of the Web, 8. automating information retrieval processes, 9. emergence of hybrid resources, 10. big data, 11. cloud processing, 12. increasing Internet resources, and 13. use of artificial intelligence and natural language processing in effective information retrieval on the future of information retrieval. Therefore, in the era of the fifth industrial revolution, it is necessary for information science specialists to be equipped with technological tool more than before. © 2021 Iranian Research Institute for Scientific Information and Documentation. All rights reserved.
International Journal Of Information Science And Management (20088310) 18(2)pp. 229-243
In this paper, the opinions of bioinformatics experts were sought to examine the knowledge semantic maps. The research question was whether the mapping of bioinformatics field articles could contribute to the reflection of knowledge map in this field; can knowledge within articles be demonstrated through a knowledge map? The research type was applied and analytical. Data collection was performed in two ways. First, the data were collected from scientific databases by using semantic search software and drawing knowledge maps by the software. Second, Delphi technique was used in two stages in order to obtain the opinion of experts regarding these knowledge semantic maps and co-concepts in bioinformatics field. In this method, first, the co-concepts map of the articles exported by Yewno and the knowledge semantics map were presented to the experts to get their viewpoints. By implementing the Delphi approach, the opinions of experts in examining the application of knowledge semantic maps resulted in the phonological analysis of articles in this field. The analysis results demonstrated that the knowledge map of bioinformatics studies dynamically developed over time. The continuous conduction flow of scientific studies in this field brought continuous changes to the knowledge of this field. © 2020. All Rights Reserved.
Webology (discontinued) (1735188X) 17(1)pp. 171-190
The present study aims to represent the infoecology of bioinformatics, with an emphasis on the topic of relationships between studies in order to provide a scientific framework for infoecological investigations in this field. It was conducted using the co-occurrence analysis of the topic keywords of studies available on the Web of Science (WoS) Database from Clarivate Analytics and using the social network analysis. The infoecology of the studies' topic relationships indicated that the topics of the studies were inter-related as information elements, also known as infocenoses, in the form of seven basic clusters in the infotope of the WoS. According to the centrality indexes, topics such as proteomics, microarray, MicroRNA, genomics, gene expression, computational biology, database, and data mining had the largest topic relationships. Moreover, as emerging information elements, LNCRNA, big data, differentially expressed genes, Osteosarcoma, next-generation sequencing, protein-RNA-SEQ, protein interaction network, high-throughput sequencing metagenomics, and ITRAQ were found to create new topic relationships. © 2020, Masoome Kiani, Asefeh Asemi, Mozafar CheshmehSohrabi and Ahmad Shabani.
Iranian Journal of Information Processing Management (22518231) 35(2)pp. 553-574
With the proliferation of the Internet and the rapid growth of electronic articles, text classification has become one of the key and important tools for data organization and management. In text classification a set of basic knowledge is provided to the system by learning. Then, new input documents enter to one of the subject groups. In health literature due to wide variety of topics, preparing such a set of early education is a very time consuming and costly task. The purpose of this article is to present a hybrid model of learning (supervised and unsupervised) for the subject classification of health scientific products that performs the classification operation without the need for an initial labeled set. To extract the thematic model of health science texts from 2009 to 2019 at PubMed database, data mining and text mining were performed using machine learning. Based on Latent Dirichlet Allocation model, the data were analyzed and then the Support Vector Machine was used to classify the texts. In the findings of this study, the model was introduced in three main steps. In data preprocessing, the unnecessary words were eliminated from the data set and the accuracy of the proposed model increased. In the second step, the themes in the texts were extracted using the Latent Dirichlet Allocation method, and as a basic training set in step 3, the data were backed up by the Support Vector Machine algorithm and the classifier learning was performed with the help of these topics. Finally, with the help of the classification, the subject of each document was identified. The results showed that the proposed model can build a better classification by combining unsupervised clustering properties and prior knowledge of the samples. Clustering on labeled samples with a specific similarity criterion merges related texts with prior knowledge, and the learning algorithm teaches classification by supervisory method. Combining classification and clustering can increase the accuracy of classification of health texts. © 2020 Iranian Research Institute for Scientific Information and Documentation. All rights reserved.
Library Philosophy and Practice (discontinued) (15220222) 2019
The purpose of this conceptual research is to determine the process of science formation and evolution. The method adopted in this study is based on documentary analysis. The research community included texts and researches related to the field of "Science", "Research" and "Technology". The scientific documents were selected using a purposive sampling method for analysis. In this paper the three concepts of: science scope, science band and science cycle are extracted from the findings of the reviewed materials for the first time ending in the following findings. Here the science scope consists of nine elements, the science band constitutes the space for science formation and evolution and the science cycle consists of a science network with seven categories and a science path with two procedures. The theme here is so vast that these findings may not completely meet the response to the question addressed, therefore more serious attempts should be made in this context. © 2019 Library Philosophy and Practice.
Webology (discontinued) (1735188X) 16(1)pp. 77-85
The structural and content features of the Ask search engine together with its assessment based on the three types of keyword, phrase and question queries run on information retrieval performance are identified in this article. This is an applied research run by adopting the survey and documentation methods. Two checklists were used to collect data: one for identifying the structural and content features and the other for recording the recall and precision ratios. The obtained data is then recorded to calculate the recall and precision. In total, 48 structural and 16 content features are identified. The findings indicate an average of 44.95 percent recall and of 31.54 percent precision in this search engine. This fact reveals that the Ask search engine performance is not appropriate. The obtained results emphasize the fact that the performance of information retrieval through question search method outperforms keyword search and phrase search methods. © 2019, Mozaffar CheshmehSohrabi and Neda Abbasi Dashtaki.
Iranian Journal of Information Processing Management (22518231) 35(1)pp. 141-172
The purpose of this study is identifying the influential factors in creating query suggestions. The query suggestion has become one of the most fundamental features of web search engines that help user formulate the query and meet the information needs by providing possible keywords. In this research, in order to identify the effective factors in creating the query suggestions a systematic review has been used. For this purpose, keywords of English and Persian language related to query suggestions have been searched in foreign scientific databases such as Science Direct, Emerald, Scopus, Online Willy, IEEE and internal databases of Magiran, Scientific Information Database of Jihad, and Cilivica to find articles related with the effective contextual factors in creating query suggestions. In order to systematic review, the method of Wright et al. was used that include seven steps: determination of research question, determination of protocol, literature search, data extraction, quality appraisal, data analysis and result. After searching for Persian and English keywords and matching them with entry and exit criteria, 36 articles were selected to extract effective factors. The findings of the systematic review in the field of the query suggestion show that five factors of location, time, user search sessions (including the user’s current search session and user search history), hybrid factors, and other contexts were effective in creating query suggestions. Identification of the influential factors in creating query suggestions helps researchers and those who are interested in this domain to use appropriate contexts in accordance with the characteristics and conditions of the search tools and help the user to retrieve more relevant information. © 2019 Iranian Research Institute for Scientific Information and Documentation. All rights reserved.
Library Philosophy and Practice (discontinued) (15220222) 2019
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's 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's 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 structuralinterpretation 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. © 2019 Library Philosophy and Practice.
Iranian Journal of Information Processing Management (22518231) 34(4)pp. 1755-1786
The purpose of this conceptual research was to explain the capabilities, semantic platform and view point of Schema.org to processing and organization of web content objects (data entities) by analytical approach. To collect data documentary analysis was used. The research community included texts and researches related to the field of "structured data" and "Schema.org". A total of 43 sources, as well as the official website of the "Schema.org" were selected using a purposive sampling method for analysis. The results of the survey showed that Schema.org is a common vocabulary that is used to describe and markup web content objects and create structured data for better processing and organization. It has a certain structure and semantic platform. Its structure is like an ontology for naming the types and properties of content objects, the relationships between types and properties, and the capabilities of describing these properties and relationships. Its semantic platform is adapted by semantic markups such as microformat, microdata, RDFa 1.1, and JSON-LD. The results of the research showed that there are three major approaches to the processing and organizing of content objects in the Schema.org: The ontological, context-oriented, and nesting approaches. Overall research results showed existence of different approaches to Schema. org represents a comprehensive view of the Web content objects while paying attention to improving interoperability with search engines. Also, the production of structured data with such schemata is an important contribution to the realization of semantic web or web of data. © 2019 Iranian Research Institute for Scientific Information and Documentation. All rights reserved.
Library Philosophy and Practice (discontinued) (15220222) 2019
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. © 2019 Library Philosophy and Practice.
Electronic Library (02640473) 36(2)pp. 258-269
Purpose: According to the studies conducted in Iran, the breast cancer is the most frequent type of cancer among women. This study aimed to explore the state of health information supply and demand on breast cancer among Iranian medical researchers and Iranian Web users from 2011 to 2015. Design/methodology/approach: A mixed method research is conducted in this study. In qualitative part, a focus group interview is applied to the users to identify their selected keywords searched for breast cancer in Google. The collected data are analyzed using Open Code software. In quantitative part, data are synthesized using the R software in two parts. First, users’ internet information-seeking behavior (ISB) is analyzed using the Google Trends outputs from 2011 to 2015. Second, the scientific publication behavior of Iranian breast cancer specialists are surveyed using PubMed during the period of the study. Findings: The results show that the search volume index of preferred keywords on breast cancer has increased from 4,119 in 2011 to 4,772 in 2015. Also, the findings reveal that Iranian scholars had 873 scientific papers on breast cancer in PubMed from 2011 to 2015. There was a significant and positive relationship between Iranian ISB in the Google Trends and SPB of Iranian scholars on breast cancer in PubMed. Research limitations/implications: This study investigates only the state of health information supply and demand in PubMed and Google Trends and not additional databases often used for medical studies and treatment. Originality/value: This study provides a road map for health policymakers in Iran to direct the breast cancer studies. © 2018, Emerald Publishing Limited.
Iranian Journal of Information Processing Management (22518231) 33(4)pp. 1793-1822
Ontology is a useful tool for organizing resources and on the other hand is a useful tool for the knowledge representation. With the development of semantic web technologies, building and creating ontologies to expedite the process is necessary. The aim of the study is to explain the situation of methodologies, designing scientometrics conceptual model, and steps of ontology construction as ScientometricsOnt. The method of the study is applied research. The research population of the study is book, article, glossary, thesaurus, dissertation, and research projects of the field of scientometrics in Persian language. To collect terms internal databases are used and related resources are searched. For creating scientometrics conceptual model and explaining relationships and individuals domain analysis approach is used. The reliability and validity of scientometrics conceptual model have been approved by experts in the field of scientometrics. The tool for building ontology is Protégé 5 software. The used methodology was OAsys method Bermejo (2007) with some changes. The results revealed that Ontology of scientometrics was formed in eleven major class which has 20 relationships and 100 individuals. This ontology can be a very useful tool for better knowledge representation in this field. Also, Scientometrics ontology can be a basis for extending and developing terms and future concepts in the field. © 2018 Iranian Research Institute for Scientific Information and Documentation. All rights reserved.
Webology (discontinued) (1735188X) 14(1)pp. 21-31
Based on Eysenbach's view, infodemiology can be defined as the science of distribution and determinants of information in an electronic medium, specifically the Internet, or in a population, with the ultimate aim to inform public health and public policy. The current study aimed to investigate the state of health information supply and demand on stomach cancer among Iranian medical researchers and Iranian web users during 2011 to 2015. A mixed method research was conducted in this study. In qualitative part, a focus group interview was applied to the users to identify their selected keywords searched for stomach cancer on Google. The collected data were analyzed using Open Code software. In quantitative part, data were synthesized using R software in two parts. First, users' Internet information seeking behavior (ISB) was analyzed using Google Trends outputs during 2011 to 2015. Second, the scientific publication behavior (SPB) of Iranian stomach cancer specialists was surveyed using PubMed during the period of the study. Eight keywords extracted by focus group interview were entered in the "Google Trends" main page. The results showed that the search volume index of preferred keywords on stomach cancer have increased from 475 in 2011 to 879 in 2015. Also, the findings revealed that Iranian scholars had 194 scientific papers on stomach cancer in PubMed during 2011 to 2015. There was a significant and positive relationship between Iranian ISB in the Google Trends and SPB of Iranian scholars on stomach cancer in PubMed. From infodemiological viewpoint, it has been elucidated that the alignment of ISB and SPB in medical studies can illustrate the purposefulness of these investigations. © 2017, Shohreh SeyyedHosseini, Asefeh Asemi, Ahmad Shabani and Mozafar CheshmehSohrabi.
Library Philosophy and Practice (discontinued) (15220222) 2017
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.
Iranian Journal of Information Processing Management (22518231) 27(4)pp. 961-984
The present study investigated the analysis of search engines and meta search engines adoption process by University of Isfahan users during 2009-2010 based on the Rogers' diffusion of innovation theory. The main aim of the research was to study the rate of adoption and recognizing the potentials and effective tools in search engines and meta search engines adoption among University of Isfahan users. The research method was descriptive survey study. The cases of the study were all of the post graduate students of the University of Isfahan. 351 students were selected as the sample and categorized by a stratified random sampling method. Questionnaire was used for collecting data. The collected data was analyzed using SPSS 16 in both descriptive and analytic statistic. For descriptive statistic frequency, percentage and mean were used, while for analytic statistic t-test and Kruskal-Wallis non parametric test (H-test) were used. The finding of t-test and Kruscal-Wallis indicated that the mean of search engines and meta search engines adoption did not show statistical differences gender, level of education and the faculty. Special search engines adoption process was different in terms of gender but not in terms of the level of education and the faculty. Other results of the research indicated that among general search engines, Google had the most adoption rate. In addition, among the special search engines, Google Scholar and among the meta search engines Mamma had the most adopting rate. Findings also showed that friends played an important role on how students adopted general search engines while professors had important role on how students adopted special search engines and meta search engines. Moreover, results showed that the place where students got the most acquaintance with search engines and meta search engines was in the university. The finding showed that the curve of adoption rate was not normal and it was not also in S-shape. Morover, among simple and advanced pages of Google, a specific bias toward simple search pages could be seen in users. This part of the study confirmed Rogers' theory. Other results of the study indicated that renouncement of innovation was not only in decision phase. This part of the investigation was in conflict with Rogers' theory.
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