Cross Language Information Retrieval using Multilingual Ontology as Translation and Query Expansion Base

Information retrieval is an important activity especially for cross-language environment. When the knowledge is represented by some means/method, it will be easy to retrieve the information. So, to represent knowledge ontology is a rich source, which may give better approach for information retrieval especially for cross language searching. Cross-language information retrieval (CLIR) is a retrieval process in which the user presents queries in one language to retrieve information in another language. CLIR has gained popularity among Information Retrieval (IR) researches in recent years. CLIR is very much needed; especially when the user only knows his/her native language and it may not be possible to process native language all the time. Simple approaches have been developed for CLIR by using multi-lingual dictionary or Word Net. Ontology will be better choice for CLIR, as it covers the entire context and its relationships, which will be helpful for both user and system provider.