Abstrait

SEMANTIC RETRIEVAL FOR HOMONYMS USING RDF AND SPARQL

Amrita Bhandari, Shalini Batra

With the advancement of internet and its use becoming global, users are finding it difficult to retrieve results for synonyms and homonyms. To overcome this upcoming problem, semantics methods for retrieval of required data are being studied. This research paper explores the methodology for semantic based retrieval of Homonyms - words with similar meanings, through the use of similarity measures like RDF, OWL, etc. After thorough analysis it was realized that Resource Description Framework (RDF), is an effective tool for Information Retrieval as it can be easily implemented and stored. Twinkle SparQl tool has been used for querying the data stored using RDF format. Firstly an example Database has been built using RDF, which is of less fine granularity and then a semantic retrieval for it using SparQl language has been represented.