Knowledge Upload Service Using Semantic Based Categorization

Abstract

AI (Artificial Intelligence) is one of the hot keywords in Computer Science research and developmentthese days. Applications of AI are very diverse that include but not limited to image recognition, voicerecognition, industry manufacturing, auto driving and human interaction for any service industry. Herewe propose a knowledge upload system utilizing different AI techniques. The knowledge recording partof the system works in this way. First the human voice is captured using microphone. Later on thecaptured voice is converted into text using voice recognition techniques. Finally, the recognized text iscategorized into personal or general category using semantic techniques. The knowledge retrieval partof the system on the other hand helps in retrieving the thoughts of a person whose knowledge has beenuploaded regarding some particular subject. A knowledge upload service can be beneficial for eachgeneration as the people of that generation can benefit from the thoughts of people of earlier generation.In this way precious human knowledge can be saved for the benefit of mankind. Normally AI is generalwhich is not specific to a person but the system proposed here can be termed as a step towards PAI(Personal Artificial Intelligence).