FEATURE EXTRACTION TECHNIQUES USING SEMANTIC BASED CRAWLER FOR SEARCH ENGINE

Autor: Poonam P. Doshi, Dr. Emmanual M
Jazyk: angličtina
Rok vydání: 2018
Předmět:
DOI: 10.5281/zenodo.1468203
Popis: The vast amount of data on the World Wide Web has resulted in convergence powerful analytical technologies,namely the Semantic Web. The Semantic Web has allowed for evolution of linked multidimensional data that allows for querying information on the web using their semantics or meaning and not just a list of key words. The paper discussed how Semantic Web technologies evolved fro m the traditional Extract,Transform and Load (ETL) based to the more automatic mapping of multidimensional data. Primary objective of the proposed research is to improve effective and accurate information discovery over the internet,to study t he vocabulary of the mining service,to enable the crawler to work for an uncontrolled web and improve the efficiency of the algorithm. https://www.ijiert.org/paper-details?paper_id=140577
Databáze: OpenAIRE