Saturday 27th of April 2024
 

Semantic Search in Wiki using HTML5 Microdata for Semantic Annotation



Wiki, the collaborative web authoring system makes Web a huge collection of information, as the Wiki pages are authored by anybody all over the world. These Wiki pages, if annotated semantically, will serve as a universal pool of intellectual resources that can be read by machines too. This paper presents an analytical study and implementation of making the Wiki pages semantic by using HTML5 semantic elements and annotating with microdata. And using the semantics the search module is enhanced to provide accurate results.

Keywords: HTML5, Microdata, Search, Semantics, Annotation, Wiki

Download Full-Text

IJCSI Published Papers Indexed By:

 

 

 

 
+++
About IJCSI

IJCSI is a refereed open access international journal for scientific papers dealing in all areas of computer science research...

Learn more »
Join Us
FAQs

Read the most frequently asked questions about IJCSI.

Frequently Asked Questions (FAQs) »
Get in touch

Phone: +230 911 5482
Email: info@ijcsi.org

More contact details »