International Journal of Information Science and Management (IJISM)
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Open Access Journals in the Member States of the Association of Southeast Asian Nations
Get PDFThis study portrays the status of Open Access Journals in the ten countries joining the Association of Southeast Asian Nations. Integrating the data from the ASEAN Citation Index, Directory of Open Access Journals, and Scopus, each captured from wider to narrower angels, this work could take a better full-length portrait of such journals including some relevant information in the region.In the first index, the nine countries registered 587 journals, over 50% not listed in the second index. In the second index, the six member states published 1,623 journals of which 39% adopted Creative Common BY. For about two decades they have shown publication and registration growth rates over double than the world has. Indonesia could dominate in all but the third index. In Scopus, the journals in the region averaged below the global averages of all bibliometric indicators but Scholarly Output. Despite this, three countries were above the global average in eight indicators. Over 40% of the 98 journals were ranked in Quartile 2.Such a marked contrast between the number of journals indexed in the second index and that in the third one could lead to the better intra- and inter- collaborations to give the scientific productivity higher visibility and impact
Middle East Countries’ Contribution to Global Engineering Research: A Bibliometric Analysis
Get PDFThis study aims to examine the research output in engineering by the Middle East countries. The data on engineering research by Middle East countries were collected from Web of Science. Collected data were analyzed with various tools such as Average Annual Growth Rate (AAGR), Compound Annual Growth Rate (CAGR), Activity Index (AI), and Relative Specialization Index (RSI). The level of regional and international cooperation in the Middle East countries was also identified. Findings showed Iran has the highest overall performance in total documents, total citations, h-index, and highly cited papers, but most of the publications by Yemen were international cooperation. Iran, Kuwait, Oman, Saudi Arabia, UAE, and Yemen in the field of petroleum engineering; Bahrain and Qatar in industrial engineering; Turkey in geological engineering; Syria in agricultural engineering; Lebanon in medical engineering; Israel in cell & tissue engineering; Iraq in civil engineering; Egypt in Chemical Engineering; and Jordan in Software Engineering have the highest RSI in their countries. Results show that Iran had the best performance in most of the indicators (quantitative indices) and Saudi Arabia has good performance in qualitative indices among Middle East countrie
An Infopreneurship Model for Iranian Online Information Businesses
Get PDFInfopreneurship is the art of entrepreneurship using information and helps infopreneurs to struggle and stand in an arena called fair (bazaar) and make benefits with once they succeed. Hence, this research was conducted with the aim of providing a model for online Infopreneurship in Iran. The present research is an applied one in terms of its purpose, and carried out through quantitative approach and analytical survey method. The statistical population of this study included1835 directors and experts of websites and online businesses across Iran. Sampling was done randomly in through stratified simply class and 320 people were selected using Krejcie and Morgan table. The data collection instrument was a researcher-made questionnaire. Data were analyzed using one-group T-test, Pearson correlation coefficient, analysis of variance and factor analysis.The findings of this study showed that structural, behavioral, field, strategic, and consequential factors are correlated with the correlation coefficient of 0.74, 0.73, 0.75, 0.68 and 0.18 with the variables of Infopreneurship, and were significant at p <0.05. The high middle or high level online business companies include these factors. Eventually, a model of Infopreneurship was represented in relation to online businesses in Iran.Based on the suggested model, it can be concluded that the more the online information businesses in Iran enjoy the identified factors, the more the amount of infopruneurship and its consequences will be, and that such a model can be used as a comprehensive road map for individuals, organizations and online information businesses interested in infopruneurship in Ira
Comparing the Citations Counts and Altmetrics of the Top Medical Science Journals in Scopus
Get PDFEarly altmetric investigations have focused on measuring the correlations between citation and altmetrics to partially validate the new metrics articles (Thelwall, Haustein, Larivière, & Sugimoto, 2013; Priem, & Hemminger, 2010; Costas, Zahedi, & Wouters, 2014). The main aim of this research is to study the relationship between citation count indicator and almetrics or the new metrics in social -web of medical sciences journals. Present research is an applied research and the method used for doing it, is descriptive from correlation type which test relationship between citation count indicators and almetrics or the new metrics in social web. 111 medical sciences journals which have the highest SJR in Scopus databases were selected as research population from Scimago Journal Ranking (SJR) 2013-2014. Altmetrics—alternative metrics usually based on data from the social web which could be seen as a particularly promising approach in efforts to find appropriate measures for assessing Medical Science Journals were extracted through altmetrics.com. Research results show that there is significant correlation between Medical science journals altmetrics tools like F1000, Mention, Facebook, and News and their citation Numbers. There is no significant correlation between Medical science journals altmetrics tools like Reddit, Blog posts, Google plus, Tweets and their citation numbers. Structural equation modeling also shows the same results
Quality Evaluation of Academic Thesis Abstracts Based on ANSI / NISO Z39.14 (R2015) Standard: A Case Study
Get PDFAbstracts are regarded as valuable tools in assessing the relevance of documents during information retrieval. The determination of abstract compliance based on international standards is one of the methods which can be used for generating qualified information, reducing costs and establishing aligned coordination with international standards. Further, ANSI/NISO Z39.14 standard is one of the international standards presented by NISO committee which its final amendment was published in March 2015 and proposed some principles in terms of content and structural elements of different sources like theses. For this purpose, the present study aimed to evaluate the abstracts of Persian theses in different educational levels with ANSI/NISO Z39.14 standard at Shahid Beheshti University of Medical Sciences (SBMU) during 2010-2014. 386 Persian abstracts were selected from among the abstracts in master’s theses, PhD dissertations, Medical Doctorate(MD) and specialized medicine theses at different schools. The standard texts of ANSI/NISO Z39.14 (R2015) were used as the instrument including 15 structural and 5 content elements. Results indicated that there was a significant difference between the consistency of structural and content elements of the standards among the abstracts of the selected theses at different educational levels in different schools. The results suggest that an instructional and a coherent model should be developed, based on international and latest edition standards such as ANSI/NISOZ39.14 guideline for abstracts which are necessary to be followed by all centers in order to improve the style of writing abstracts
Persian Text Classification Enhancement by Latent Semantic Space
Get PDFHeterogeneous data in all groups are growing on the web nowadays. Because of the variety of data types in the web search results, it is common to classify the results in order to find the preferred data. Many machine learning methods are used to classify textual data. The main challenges in data classification are the cost of classifier and performance of classification. A traditional model in IR and text data representation is the vector space model. In this representation cost of computations are dependent upon the dimension of the vector. Another problem is to select effective features and prune unwanted terms. Latent semantic indexing is used to transform VSM to orthogonal semantic space with term relation consideration. Experimental results showed that LSI semantic space can achieve better performance in computation time and classification accuracy. This result showed that semantic topic space has less noise so the accuracy will increase. Less vector dimension also reduces the computational complexity
Word Sense Disambiguation Focusing on POS Tag Disambiguation in Persian:
Get PDFThe present study deals with ambiguity at word level focusing on homographs. In different languages, homographs may cause ambiguity in text processing. In Persian, the number of homographs is high due to its orthographic structure as well as its complex derivational and inflectional morphology. In this study, a broad list of homographs was extracted from some Persian corpora first. The list indicates that the number of homographs in Persian corpora is high and homographs with high frequency are those that occur as a result of the identical orthographic representation of some inflectional and derivational morphemes. Based on the list, the most frequent homographs are nouns and adjectives ending in <ی> /i/. POS tag disambiguation of such homographs would make word sense disambiguation easier and lead to better text processing. In this study, a list of noun and adjective homographs ending in <ی> is extracted in order to decide their correct POS tag. The result was studied to extract context-sensitive rules for allocating the right POS tag to the homograph in syntactic structures. The accuracy of rules was checked, and the result showed that the accuracy of most rules is high which proves most rules are true
A Correlation Study of Co-opinion and Co-citation Similarity Measures
Get PDFCo-citation forms a relational document network. Co-citation-based measures are found to be effective in retrieving relevant documents. However, they are far from ideal and need further enhancements. Co-opinion concept was proposed and tested in previous research and found to be effective in retrieving relevant documents. The present study endeavors to explore the correlation between opinion (dis)similarity measures and the traditional co-citation-based ones including Citation Proximity Index (CPI), co-citedness and co-citation context similarity. The results show significant, though weak to medium, correlations between the variables. The correlations are direct for co-opinion measure, while being inverse for the opinion distance. Accordingly, the two groups of measures are revealed to represent some similar aspects of the document relation. Moreover, the weakness of the correlations implies that there are different dimensions represented by the two group
CivilOnto: An Ontology Based on Persian Articles Published in Civil Engineering Domain
Get PDFThe present research aims to represent the terms and concepts of civil engineering and thus design its domain structure in the form of ontology. This is an applied research and the qualitative content analysis method with summative approach is used. The research population is 12309 published articles in the scientific journals (1983 to 2016), indexed in the full-text Persian articles database at Regional Information Center for Science and Technology (RICeST). Data collection was done via SQL queries from the RICeST database. The content analysis was used to create a conceptual model of the civil engineering domain and to explain the relationships and instances. To create the conceptual model, there were consulted with 10 Subject experts in civil engineering area. The process of ontology creation has been done through METHONTOLOGY methodology and protégé ontology management software (Beta 5 edition). The made-artifact of this research has 283 concepts, along with 62 object properties, 79 data type properties, 10 annotative properties, and 976 instances. In total, in the present research, 151 semantic properties were identified between the concepts. The results of this research can serve as a guide for the RICeST experts in order to identify the users’ needs and facilitate the users’ interaction with RICeST databases. This can also provide the users with access to more relevant resources. This ontology can also be served as a layer of semantic web in these databases
Identifying Information Retrieval Research Trends Using Author Co-citation Network
Get PDFAbstractThe aim of this study was mapping, visualizing and determining subject trends in the field of information retrieval using author co-citation network based on articles indexed in Scopus from 2005- 2018. This scientometric study was performed using co-citation analysis. Research population includes all articles indexed in Scopus in the field of information retrieval from 2005 to 2018. Therefore, 35018 papers were retrieved in this field. VOSviewer was used to analyze the author co-citation. The study indicated that a total of 604757 authors were co-cited, 212328 journals were cited. Also highly cited articles and sources were determined. Amongst countries, United States, China, United Kingdom, Germany and Canada ranked one to five, respectively. Computer science was a pioneer with regard to interdisciplinary area in IR. It is noteworthy that visualization of author co-citation in field of IR determined ten clusters, namely knowledge and information science, computer science, electronics, information retrieval, information seeking behavior, psychology, multimedia information retrieval, software engineering, ophthalmology and surgery