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Analyzing the impact of deep web on real-time business search
, D. Mukhopadhyay
Published in Institute of Electrical and Electronics Engineers Inc.
Real time business search largely has the involvement of Internet of Things which has now become a huge set of objects with large magnitude of intercommunication links and services. This scalability issue can be resolved by bringing in (SIoT) Social IoT i.e. an object looking for its social partners who will have similar set of rules to positively influence the performance of the service. In this work, we are putting forward the analysis of the impact of deep web on real time search. We also propose a novel approach by analyzing the shortcomings of the existing techniques. The novel idea is the distribution of web search engine to take care of sub parts of entity and sensor pages by distributing the search engine itself along with the index over multiple nodes. Deep websites are needed to be brought in for accurate results. This work offers better accuracy and a significant speed up for multiple query execution in distributed environment. © 2017 IEEE.