Main Reference PaperSemantic-based and Entity-Resolution Fusion to Enhance Quality of Big RDF Data, IEEE Transactions on Big Data, June 2017 [Java/Hadoop].
  • Semantic entity resolution method, Data Quality enhancement, query rewriting inferences are proposed that handles semantic heterogeneity and URI-based entity identification and ensures data quality by harvesting more relevant and complete query results. 

+ Description
  • Semantic entity resolution method, Data Quality enhancement, query rewriting inferences are proposed that handles semantic heterogeneity and URI-based entity identification and ensures data quality by harvesting more relevant and complete query results. 

  • To ensure the better quality of big RDF data.

  • To solve the entity resolution issue using rule based approach .

+ Aim & Objectives
  • To ensure the better quality of big RDF data.

  • To solve the entity resolution issue using rule based approach .

  • The query rewriting algorithm is optimized that minimizes the number of MapReduce jobs.

+ Contribution
  • The query rewriting algorithm is optimized that minimizes the number of MapReduce jobs.

  • Java JDK 1.8, MySQL 5.5.40, Hadoop 1.2.1.

  • Netbeans 8.0.1, & J2EE.

+ Software Tools & Technologies
  • Java JDK 1.8, MySQL 5.5.40, Hadoop 1.2.1.

  • Netbeans 8.0.1, & J2EE.

  • M.E / M.Tech / MS / Ph.D.- Customized according to the client requirements.

+ Project Recommended For
  • M.E / M.Tech / MS / Ph.D.- Customized according to the client requirements.

  • No Readymade Projects-Depending on the complexity of the project and requirements.

+ Order To Delivery
  • No Readymade Projects-Depending on the complexity of the project and requirements.

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