Comparing the Function of Web Search Engines in Indexing and Making Visible of the Metadata Records based on Microdata Method
Author(s):
Article Type:
Research/Original Article (بدون رتبه معتبر)
Abstract:
Research Objective
The aim of this research was to find out the function of Web search engines in indexing and Making visible of the metadata records based on Microdata method comparatively. Research
Methodology
200 metadata records in two groups: 100 HTML-based metadata records (related to e-books) as the control group with the normal structure, including 50 records in Persian and 50 records in English, and 100 HTML metadata records created based on Microdata method in Persian and English in an experimental group. All records were extracted from Allameh Tabataba’i university digital library and were analyzed through an experimental approach. The records of two groups were published on an independent website http://www.szolghadr.ir, and were introduced to Google, Bing and Yahoo! search engines. Then using advanced search strategies, the semantic indexability and visibility of the published metadata records were examined.
Findings
Findings show Google got indexed both control and experimental groups’ records, and displayed the metadata records of the experimental group semantically, as rich snippets. But Bing and Yahoo! search engines got indexed the records of both groups only and were not able to make visible them in their search results semantically.
Conclusion
Although, the three studied search engines have been developing schema.org together and use Microdata method for creating metadata records based on it, only Google supports to display the two groups’ metadata records semantically.Keywords:
Language:
Persian
Published:
Journal of Knowledge Retrieval and Semantic Systems, Volume:5 Issue: 16, 2018
Pages:
83 to 101
https://www.magiran.com/p1967698
سامانه نویسندگان
مقالات دیگری از این نویسنده (گان)
-
Mapping the Scientific Outputs of Allameh Tabataba'i University from 1974 to 2024
Seyed Mahdi Taheri *, Negin Shokrzadeh
Journal of Knowledge Retrieval and Semantic Systems, -
Designing the Business Ontology of Ehya Iron Company based on Semantic Web Data Models
Seyyed Mahdi Taheri *, Elham Hooshmand, Esmat Momeni, Negin Shokrzadeh Hashtroudi, Mehdi Alipour Hafezi
Journal of Knowledge Retrieval and Semantic Systems,