Using Text Surrounding Method to Enhance Retrieval of Online Images by Google Search Engine
Publish Year: 1396
Type: Journal paper
Language: Persian
View: 211
This Paper With 22 Page And PDF Format Ready To Download
- Certificate
- I'm the author of the paper
Export:
Document National Code:
JR_SLIS-9-22_006
Index date: 24 November 2022
Using Text Surrounding Method to Enhance Retrieval of Online Images by Google Search Engine abstract
Purpose: the current research aimed to compare the effectiveness of various tags and codes for retrieving images from the Google. Design/methodology: selected images with different characteristics in a registered domain were carefully studied. The exception was that special conceptual features have been apportioned for each group of images separately. In this regard, each group image surrounding texts was dissimilar. Images were allocated with captions including language in Farsi and English, alt text, image title, file name, free and controlled languages and appropriation text to images properties. Findings: allocating texts to images on website causes Google retrieve more images. Chi-square test for difference of retrieved images in ۵ Codes is significant and revealed that in different codes, significantly various numbers of images were retrieved. Caption allocation in English had the best effect in retrieving images in the study sample and file name had less effect in image retrieval ranking. image retrieval
Using Text Surrounding Method to Enhance Retrieval of Online Images by Google Search Engine Keywords:
Using Text Surrounding Method to Enhance Retrieval of Online Images by Google Search Engine authors
صالح رحیمی
گروه علم اطلاعات و دانش شناسی، دانشکده علوم اجتماعی، دانشگاه رازی، کرمانشاه، ایران
حمید کشاورز
گروه علم اطلاعات و دانش شناسی دانشگاه شهید بهشتی، تهران، ایران
مهدی خادمیان
کارشناس سازمان اسناد و کتابخانه ملی ایران
مراجع و منابع این Paper:
لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :