The Implementation of an Artificially Intelligent Personal Assistant for a Personal Computer

This research describes the design of an Artificially Intelligent Personal Assistant (AIPA) system that uses concepts from the artificial neural networks, a triple-based knowledge representation that is used for both an ontology and its binary relationships, fast access via hash functions, and Class Algebra as the theoretical basis. The purpose of the research and implementation is to make it more convenient for people to use Chinese to communicate with computers. Through artificial intelligent natural language technology, not only are the users able to colloquially to communicate with AIPA, but the system can also identify the users’ commands to bridge the Google search engine. Therefore, users can efficiently search for information or execute programs by using AIPA.