Optimization and Load Balancing of the Semantic Tagging and Searching System

Abstract

In the Web 2.0 Age, Web bloggers have become major Web content providers, and the volume of blogs continues to increase rapidly. Although keyword-based tags are widely used to classify submitted blogs and to search for retrieval, this keyword-based approach provides less optimal classification, leading to less satisfactory search results because this approach is not a semantic approach. To address this problem, prior to this paper, a system called STSS was developed in order to facilitate users to build semantic tags for their blogs and to retrieve more relevant search results. The STSS test results demonstrated that use of the semantic approach led to more accurate content classification and more relevant search results although there were performance issues. In this paper, we describe our efforts to improve STSS by employing an optimization and caching approach. The test results show that the performance of new approach exceeds that of the previous one.