Knowledge retrieval using hybrid semantic web search

Rapid emergence of knowledge retrieval techniques have assists in innovation especially in search engine related field. However, there is still room for improvement related to data reliability. Most knowledge on the Web is presented as natural-language text that understandable by human but difficult for computers to interpret. Therefore, Semantic Web approach is widely used to give more reliable application. This paper presents an idea of combining three concepts to enhance knowledge retrieval processes using Semantic Web technologies. Instead of using ontology and clustering/categorization alone, we are injecting user profiling concept from Relational Database (RDB) to ensure more reliable data are obtained in terms of users? perspective. The impact of Knowledge Retrieval using proposed technique will be continues in future work.