Knowledge Upload Service Using Semantic Based Categorization

Abstract

AI (Artificial Intelligence) is one of the hot keywords in Computer Science research and development these days. Applications of AI are very diverse that include but not limited to image recognition, voice recognition, industry manufacturing, auto driving and human interaction for any service industry. Here we propose a knowledge upload system utilizing different AI techniques. The knowledge recording part of the system works in this way. First the human voice is captured using microphone. Later on the captured voice is converted into text using voice recognition techniques. Finally, the recognized text is categorized into personal or general category using semantic techniques. The knowledge retrieval part of the system on the other hand helps in retrieving the thoughts of a person whose knowledge has been uploaded regarding some particular subject. A knowledge upload service can be beneficial for each generation 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 general which is not specific to a person but the system proposed here can be termed as a step towards PAI (Personal Artificial Intelligence).