An intelligent concept based search engine with cross linguility support

In this paper, an intelligent concept based search engine has been presented that can be used as a multilingual platform for different search queries. It retrieves those results pages also which don´t have directly the keywords but contains the synonyms or related words. In response to a query for the word “car” it will also retrieve web pages which don´t have directly the word “car” but have the semantically related words such as “automobile”, “motorcar”, “gondola”, “van” etc. As a cross lingual support it retrieves the pages of other languages which have semantic presence of the searched keyword. These pages are presented to user in the original query language after necessary translation/transliteration. Spell-check support is also provided for giving suggestions in respect of misspelled queries. For the search engine implementation, JSP (Java Server Pages) has been used to integrate the Front-end (webpage) and Back-end (crawler and indexer). LUCENE (a very popular open source information retrieval library) and WordNet library has been used for getting the synonyms list of the queried words. The search engine has been successfully tested for the agricultural domain.