LIBRARIANSHIP AND INFORMATION ORGANIZATION STUDIES (JOURNAL OF NATIONAL STUDIES ON LIBRARIANSHIP AND INFORMATION ORGANIZATION)
Year:2019 | Volume:30 | Issue:3 (119) |Papers Count:7

Purpose: To determine the impact of document summarization parameters on the evaluation metrics of classification algorithms for Persian texts. Methodology: 1000 news texts were collected from yjc. ir news agency website based on the number of visits, with at least 100 and at most 350 words, out of which 250 were selected randomly. Titles, summaries, and the texts of the 250 docs were included in three groups. The number of documents were increased by 100 percent in two stages, to 500 and 1000. After text preprocessing and deleting stop words by programming code, TF-ISF summarization technique was implemented on them. 12 Excel files were created from the words of original texts. Then, Bayesian, Decision tree, SVM and Rulebased algorithms implemented by Rapid Miner software, which provided 120 Excel output files for verifying accuracy, precision, and recall. Finally, five comparisons between the results were considered including comparing of results with 100% increase in the number of documents, comparing the parameters of TF and ISF summarizer, comparison of Bayesian classification algorithms, decision tree, Rule and SVM, comparing the original text and summary and comparison of the documents labels. Findings: The results indicated the superiority of evaluation criteria in classification of 1000 documents relative to those of 250 and 500, which in 84% of cases. Meanwhile, the ISF summarizer method compared to TF in 82% of comparison showed a greater impact on classification accuracy. In addition, the values of the accuracy in Bayesian classification and the SVM were better. The highest value obtained from the accuracy (96. 67%) in the SVM classification by 1000 documents of original text and ISF summarizer technique. Conclusion: Appropriate parameters for summarization and efficient classification techniques can improve the accuracy of Persian text classification process, while the required time also decreases. The best results obtained in the evaluations show that ISF summarizer, Bayesian and SVM algorithms, 1000 documents, as well as the main text are more effective.

Purpose: Identifying, classifying, and analyzing citation contexts of information science articles based on Hyland’ s meta-discourse approach. Methodology: This research was carried out in two phases: “ citation class identification” (Jurgens et al., 2016) and “ metadiscourse-based analysis of identified function” (Hyland, 2005). 164 citation contexts of 10 citing articles in English (including 656 explicit and implicit sentences) were analyzed. Findings: Based on metadiscourse, citation functions were categorized in 2 classes named “ Interactive citations” and “ Interactional citations” included 4 sub-classes in the second level, 14 sub-classes in the third level and 23 sub-classes in the forth. Interactive functions were understood more than interactional ones. Moreover, the perceived classes were more descriptive than analytical. Conclusions: The similarity between the taxonomy perceived in this study and existing citation classification schemes in the literature, is to the third level. In addition, most similarities are in the area of interactive functions. It seems that interactional citations identified in this study could be used to refine citation contexts in scientific information retrieval systems as well as in the process of qualitative evaluation of the impact of research.

Purpose: Compare the rankings of articles by Google Scholar and Web of Science recommender systems against users’ perspectives. Methodology: 120 PhD candidates of Shiraz University in the fields of humanities, sciences, engineering and agriculture, (30 from each field) voluntarily participated in the study. They were asked to introduce three articles had recently read for their thesis. One of the three which was indexed by both databases was chosen and named as the core article. For each core article 10 recommended articles recommended by each recommender system were retrieved (2, 400 overall). Using imitating software exclusively designed for this study, participants were asked to rank the articles retrieved by the two recommender systems for their core articles. Normalized Discounted Cumulative Gain (NDCG) measure was employed for analysis. Findings: There was a noticeable but weak relationship between the users’ assigned rankings and the rankings of Google Scholar and Web of Science databases. Correlation between the rankings of both databases with NDCG measure was also weak. Conclusion: The algorithms used for ranking by both recommender systems hardly in matched that of the users. Therefore, ranking algorithms of both databases may need some revision.

Purpose: Seeks to identify information interoperability protocols in 36 leading digital libraries to identify appropriate indicators. Methodology: Data gathering tool was a researcher-made questionnaire. Descriptive and inferential frequency, percentage, Lambda and Fisher's test were employed for analysis of data. Findings: 29 (80%) libraries used OAI-ORE protocol, 6 (16%) university, school and special libraries used OAI-PMH protocol. Z39. 50 more often used by national libraries. Public libraries used Z39. 50 and SRU/W for better interoperability. Special libraries used protocols most and were more successful in Interoperability. School libraries rarely used any protocol. Conclusion: The use of Z39. 50 was influenced by the scope of library’ s activity. Availability of archival resources and cultural objects (for example, museum objects) has led the libraries to use OAI-PMH for better interoperability. The use of Z39. 50 and SRU/W was influenced by use of federated model in digital libraries. The use of OAI-PMH was influenced by the use of harvested model in digital libraries.

Purpose: Examines the relationship between organizational creativity and information and communication skills of librarians in academic libraries. Methodology: The present study was conducted through an analytical survey among librarians in the province of East Azarbaijan university libraries. Data was collected by a researcher designed questionnare. Findings: The mean of organizational creativity was 26. 831 with a standard deviation of 1. 83 the mean of information and communication skills was 61. 021 with a standard deviation of 2. 60. Inferential statistical analysis (regression and Pearson test) at a meaningful level smaller than 0. 05, confirmed the relationship between organizaaational creativity of libraries and information and communication skills with R = 0. 615. Conclusion: Organizational creativity of librarians in academic libraries and their information and communication skills ware in a good state. We found a direct, positive, and meaningful relationship between organizational creativity of libraries with information and communication skills.

Purpose: Compares the performance of fuzzy and non-fuzzy search engines and measures the overlap among them. Methodology: Search engines included were selected by accidental classified and purposeful sampling. Data was gathered using three lists based on a subject headings list, carried out in three formats including search questions, phrases, and keywords search. Findings: Meta Crawler, Bing, and Emerald showed the highest rate of precision among the non-fuzzy search engines respectively, while Google, Yahoo and ASK obtained the showed the highest level of precision among the fuzzy ones respectively. With regard to keyword searching, Bing and Meta Crawler showed the highest level of overlap, while Yahoo and Meta Crawler had the highest level of overlap in question searching. With regards to phrase searching, the most overlap was between Yahoo and Meta Crawler. Emerald results were had no overlap with the other five search engines in the three types of queries. This could be seen as its poor performance. Conclusion: Overall performance of fuzzy search engines was better. Except for Emerald, other search engines showed considerable levels of overlap.

Purpose: To identify factors affecting the use of query suggestions in information search tools and proposing a model. Methodology: The factors were identified through the review of the literature, based on which a self-interaction questionnaire was designed and circulated among 10 experts to determine relationships between the factors. Findings: Among the 13 factors identified through the review of the literature, demographic characteristics, search experience, domain knowledge and expertise, linguistic features, user’ s query, creativity, psychological and cognitional, the source of creation of query suggestions, contextual factors, semantic features of query suggestions, and structural characteristics of the query suggestions could increase the ease of use and improve the userperformance. The model presented “ the source of generation of the query suggestion” was identified as the most influential factor. Conclusion: Findings of this study could use when examining the performance, as well as in the design of query suggestion systems.