شناسایی مؤلفه‌های تحلیل اطلاعات در نظام‌های بازیابی، بر اساس فنون مصورسازی اطلاعات در علم‌سنجی: مرور نظام‌مند

نوع مقاله : مقاله پژوهشی

نویسندگان

1 دانشجوی دکترای علم اطلاعات و دانش‌شناسی، پژوهشگاه علوم و فناوری اطلاعات ایران (ایرانداک)

2 دانشیار گروه علم اطلاعات و دانش شناسی دانشگاه شاهد

3 استادیار، گروه علم اطلاعات و دانش‌شناسی، پژوهشگاه علوم و فناوری اطلاعات ایران (ایرانداک)

چکیده

هدف: هدف پژوهش حاضر بررسی مؤلفه‌های حوزه تحلیل اطلاعات در نظام‌های بازیابی اطلاعات است.
روش‌شناسی: روش پژوهش مرور نظام‌مند و تحلیل محتوای کیفی است. جامعه پژوهشی شامل مقالات پژوهشی حوزه تحلیل اطلاعات در نظام‌های بازیابی اطلاعات است که توسط استراتژی جستجوی ساخته شده در بازه زمانی از ابتدا تا سال 2019 در پایگاه‌های علمی یافته شده است. برای نمونه‌گیری از بیانیه پریزما استفاده شده است. در ابتدا تعداد 2048 مقاله شناسایی و پس از طی مراحل شناسایی، غربالگری،‌ شایستگی‌ و شامل‌شدن 83 مقاله برای تحلیل نهایی انتخاب شدند و مورد تحلیل محتوای کیفی قرار گرفتند.
یافته‌ها: با توجه به یافته‌ها پنج مقوله اصلی «تجزیه و تحلیل» («ارزیابی و مقایسه»، «همکاری و علم‌سنجی»، «تحلیل متن»)، «توصیف» («فراداده»، «سطوح بازنمایی»، «نمایش رابط کاربر»)، «تعامل انسان و رایانه» («ناوبری»، «جستجو»، «پالایش»، «مرتب‌سازی»، «گفتگوی بین نظام و کاربر»، «پیوندها»، «شخصی‌سازی»)، «مدیریت اطلاعات» («مدیریت سیستم»، «مدیریت کاربران»، «راهنماها») و «نتایج تحلیل اطلاعات» («اکتشاف»، «جنبه‌های روان‌شناختی») به دست آمد.
نتیجه‌گیری: دسته‌بندی به‌دست‌آمده در این پژوهش می‌تواند به‌منظور طراحی نظام‌های بازیابی اطلاعات به‌صورت تحلیلی‌تر و ارزیابی آنها مورد توجه قرار گیرد.

کلیدواژه‌ها

عنوان مقاله [English]

Identifying the Information Analysis Components in Retrieval Systems, Based on Information Visualization Techniques in Scientometrics: A Sys-tematic Review

نویسندگان [English]

  • Maryam Mousavizadeh 1
  • Abdolreza Noroozi Chakoli 2
  • Roya Pournaghi 3
1 PhD. Student in knowledge and information science; Iranian Re-search Institute for Information Science and Technology (IRAN-DOC).
2 Associate Professor, Department of Information Science and Knowledge Studies; Shahed University.
3 Assistant Professor, Department of Information Science and Knowledge Studies; Iranian Research Institute for Information Sci-ence and Technology (IRANDOC).
چکیده [English]

Purpose: The purpose of this research is to study the components of the information analysis in information retrieval systems.
Methodology:The current study has been done using systematic review and qualitative content analysis. The statistical population includes research articles in the field of information analysis in information retrieval systems, which have been found by search strategies from the beginning to 2019 in the scientific databases (Scopus, Science Direct, Pubmed, and IEEE). PRISMA Statement was used for sampling. First 2048 articles were identified and then after four steps (Identification, Screening, Eligibility, and Inclusion), 83 articles were selected for final analysis.  
Findings: For answering the research question about what is effective components of information analysis in Information retrieval systems, there are five basic categories was obtained Analytics (“Benchmarking”, “Collaboration and Scientometrics”, “Text analysis”), Description (“Analyzed fields”, “Representation levels”, “Presentation”), Human-computer interaction (“Navigation”, “Searching”, “Filtering”, “Sorting”, “user-system dialog”, “Links”, “Personalization”), Information management (“System management”, “User management”, “Helps”) and Information analysis results (“Exploration”, “Psychological aspects”).
Conclusion: The obtained categorization in current research can be noticed for information retrieval systems design more analytically and evaluate them.

کلیدواژه‌ها [English]

  • Information analysis
  • analytical information retrieval
  • Systematic review
  • information visualization
  • scientometrics

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