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Purpose: The purpose of this study is to develop a domain independent, cost-effective, time-saving and semi-automated ontology generation framework that could extract taxonomic concepts from unstructured text corpus. In the human disease domain, ontologies are found to be extremely useful for managing the diversity of technical expressions in favour of information retrieval objectives. The boundaries of these domains are expanding so fast that it is essential to continuously develop new ontologies or upgrade available ones. Design/methodology/approach: This paper proposes a semi-automated approach that extracts entities/relations via text mining of scientific publications. Text mining-based ontology (TmbOnt)-named code is generated to assist a user in capturing, processing and establishing ontology elements. This code takes a pile of unstructured text files as input and projects them into high-valued entities or relations as output. As a semi-automated approach, a user supervises the process, filters meaningful predecessor/successor phrases and finalizes the demanded ontology-taxonomy. To verify the practical capabilities of the scheme, a case study was performed to drive glaucoma ontology-taxonomy. For this purpose, text files containing 10,000 records were collected from PubMed. Findings: The proposed approach processed over 3.8 million tokenized terms of those records and yielded the resultant glaucoma ontology-taxonomy. Compared with two famous disease ontologies, TmbOnt-driven taxonomy demonstrated a 60%–100% coverage ratio against famous medical thesauruses and ontology taxonomies, such as Human Disease Ontology, Medical Subject Headings and National Cancer Institute Thesaurus, with an average of 70% additional terms recommended for ontology development. Originality/value: According to the literature, the proposed scheme demonstrated novel capability in expanding the ontology-taxonomy structure with a semi-automated text mining approach, aiming for future fully-automated approaches. [ABSTRACT FROM AUTHOR]

Purpose This study aims to apply some concepts of actuarial statistics to the authorship of Iranian ISI papers in the field of chemistry based on Price’s model. The study determines scientific birth rate, death rate, infant mortality rate, natural increase rate and life expectancy.Design/methodology/approach Price maintained that authors in each given period in any field fall into four categories including newcomers, transients, continuants and terminators. He suggested that actuarial statistics could be applied to authorship to calculate death rate and birth rate in scientific fields. A total 25,573 papers written by 59,661 Iranian chemistry authors between 1973 and 2012 were downloaded from Web of Science (WoS) and were subjected to statistical analysis.Findings The average birth rate was 66.7 per cent, the average death rate was 19.4 per cent, infant mortality rate was 51.2 per cent, average natural increase was 47.3 per cent, the average life expectancy was 1.98 years and the longest scientific age was 22 years. The results show that although a large number of people start their scientific activity, the number of those who terminate their activity in the same year as they start (infant mortality rate) is also large and little continuity exists in the publishing activities of Iranian chemists.Research limitations/implications The findings have implications for the planning of human resources in science. They could help maintain a stable scientific labor force and decide for instance whether a larger number of scientists should be trained and hired, or the barriers should be removed so the existing scientists can work for more years. The limitation is that the study is restricted to ISI articles, although they are not the only kind of scientific output.Originality/value This is the first study of its kind on Iranian scientific output. It shows that the overall labor force in the field of chemistry in Iran was not satisfactory, as the majority of authors in each period are transients. There is a need for better planning for the labor force. [ABSTRACT FROM AUTHOR]

Purpose – The present paper aims to compare the awareness and ability of medical students in using the electronic resources of the Integrated Digital Library (IDL) portal of Iran. Design/methodology/approach – The current research involves a comparative applied survey. The survey was conducted through a structured questionnaire circulated among 300 medical students sampled from three major Iranian universities. A stratified random sampling method was used. Descriptive statistics (mean, standard deviation, average and so on) have been used to analyze the data using the Microsoft Excel software. Findings – The awareness and utilization level of students in the three universities were lower than the average and those who are not aware of the existence of the IDL portal used general search engines to meet their information needs. The respondents admitted that their lack of awareness about the IDL was their most significant problem. Among the investigated universities, students of Tehran University of Medical Science (TUMS) used the End Note, Elsevier, Thomson, Scopus and Proquest databases most. All the students expressed the effect of the IDL on the academic activities as much as 64 percent in Iran University of Medical Science (IUMS), 72 percent in Tehran University of Medical Science (TUMS) and 66 percent in Shahid Beheshti Medical University (SBMU). The mean scores for utilization of searching strategies were 2.43, 2.89 and 2.87, respectively, for IUMS, TUMS and SBMU. Originality/value – A few attempts have been made to investigate the awareness, use and research ability of students in universities but this is the first of its kind to compare universities within the Integrated Digital Library. The paper will be useful for those in decision-making roles and provides insight for the people responsible for IT application. It is hoped that this paper will assist administrators of the university libraries in developing a more complete understanding of students' electronic information needs and barriers. [ABSTRACT FROM AUTHOR]