Entity Conceptualization and Understanding Based on Web-Scale Knowledge Bases

This paper investigates on entity conceptualization and its applications based on a Web-scale knowledge base. Firstly, inspired by the spreading activation theory from Cognitive Psychology, a model for entity conceptualization in a context-free setting is introduced. Secondly, an extended model with additional consideration on environmental factors is proposed for context-sensitive entity conceptualization. With entity conceptualization, we propose a method for generating concept-level knowledge based on conceptualization of large-scale factual triple form knowledge acquired from the Wiki-Encyclopedias. We provide several typicality measures for understanding concept-level knowledge in different perspectives. Finally, we discuss how the concept-level knowledge and its typicality measures can be used for finding incorrect knowledge contributed by Wiki-Encyclopedia contents contributors.