Language-Agnostic Knowledge Representation for a Truly Multilingual Semantic Web

As the Internet users’ communities and information on web are increasing exponentially, that too associated with a wide range of different cultures languages; meaningful search in multilingual setting is required. It crucial to develop simple use, granular, adaptable knowledge representation system could constitute core Semantic Web. should be well-prepared for multicultural settings by virtue internationalizing code. In this work, model ontology-based language-agnostic Web application architecture offered which independent today’s heterogeneous encoding language resources provides smooth exploitation. The suggested enables quick end user’s preferred cultural conventions, an easy extension new information, as well its localization contexts. model’s usability proven prototype simulation domain Indian biodiversity.