Evolution of Knowledge Representation and Retrieval Techniques

Meenakshi Malhotra, T. R. Gopalakrishnan Nair
2015 International Journal of Intelligent Systems and Applications  
Existing knowledge systems incorporate knowledge retrieval techniques that represent knowledge as rules, facts or a hierarchical classification of objects. Knowledge representation techniques govern validity and precision of knowledge retrieved. There is a vital need to bring intelligence as part of knowledge retrieval techniques to improve existing knowledge systems. Researchers have been putting tremendous efforts to develop knowledge-based system that can support functionalities of the human
more » ... brain. The intention of this paper is to provide a reference for further research into the field of knowledge representation to provide improved techniques for knowledge retrieval. This review paper attempts to provide a broad overview of early knowledge representation and retrieval techniques along with discussion on prime challenges and issues faced by those systems. Also, state-of-the-art technique is discussed to gather advantages and the constraints leading to further research work. Finally, an emerging knowledge system that deals with constraints of existing knowledge systems and incorporates intelligence at nodes, as well as links, is proposed. Web over the last decade have greatly contributed to information sharing and ease of access. However, these systems have not been able to provide a single complete ontological structure to represent data across multiple domains. The data and information have been ever increasing as more and more data is getting inducted into accessible network systems through huge libraries and legacy organizations. This has resulted in continuous demand to extract knowledge intelligently. The proposed knowledge system, ILS retrieves knowledge intelligently. ILS nodes possess processing and self-propagation properties, and the links provide a coherent connectivity between the nodes of the network and propagate intelligently. Evolution of Knowledge Representation and Retrieval Techniques
doi:10.5815/ijisa.2015.07.03 fatcat:js6ubltmlra35bqdwknb65hizi