Autonomous Decentralized Semantic Based URL Filtering System for Low Latency

Autonomous Decentralized Semantic Based URL Filtering System for Low Latency Low latency is the key requirement for cloud based web services particularly when there are heavy processes like inference from large knowledge-base are running and multiple simulataneous requests need to be entertained. This paper proposes Autonomous Decentralized L3 cache driver based URL filtering system, that uses two knowledge bases and proposal of L3 cache, to achieve low latency with high accuracy. The system creates ontology TDB files in way that most used relationships in ontology are in separate files. Thus the system caches the most frequently used relations of the ontology to minimize the time required by the inference engine of the text categorizer. Evaluation shows L3 cache achieved significant performance improvement in terms of processing time.