Multi-query optimization for semantic news feed query

  • Authors:
  • Andinet Assefa;Fekade Getahun

  • Affiliations:
  • Dire Dawa University, Dire Dawa, Ethiopia;Addis Ababa University, Addis Ababa, Ethiopia

  • Venue:
  • Proceedings of the International Conference on Management of Emergent Digital EcoSystems
  • Year:
  • 2012

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Abstract

Recently, a window-based and semantic-aware feeds querying operators to retrieve set of news items satisfying a given condition has been proposed. The use of semantic information improves the relevance of query result at the cost of degrading the efficiency of the system. To benefit from query execution on semantic information while keeping efficiency of the system, we have proposed a multi-query optimization strategy. The proposed MQO strategy accepts semantic news feed queries and examines the relationship that exists between windows defined on queries. Then, a MQE chain is generated based on the window relationship examined for the efficient manipulation of queries. Whenever a new query arrives, it is added to its appropriate chain. To validate the proposed approach, we have developed a prototype and the experimental results show that the use of our approach improves significantly the performance of the system.