Empowering Information Retrieval in Semantic Web

摘要

Until the inception of Web 1.0, the Information Retrieval was the center of the stage for library and it was defined as search and passive. Later on, the emergence of Web 2.0 was encouraged into the community, social interaction and user-generated content. Web 3.0 is a modern phenomenon and also known to “3D Web or the Semantic Web”, and it often used for specifically to formats and the technologies. The advanced Web 4.0 is the Ultra-Intelligent Agent Interactions between humans and machines. Semantic web technology finds meanings from various sources to enabling the machines and people to understand and share knowledge. The semantic web technology helps to add, change and implement the new relationships or interconnecting programs in a different way which can be as simple as changing the external model that these programs are shared. To give an information need, the semantic technologies can directly search, capture, aggregate, and make a deduction to satisfy the user needs. The paper presents a framework for knowledge representation assembling semantic technology based on ontology, semantic web, and an intelligent agent algorithm as a connectivity framework to share the appropriate knowledge representation which includes the web ontology language that discovers related information's from various sources to serve the information needs. The research addresses the intelligent agent algorithm is the key contribution that reveals appropriate information and empowers Web 3.0 and embraces Web 4.0 into the coming semantic web technology.