ConceptNet 5: A Large Semantic Network for Relational Knowledge

Abstract

ConceptNet is a knowledge representation project, providing a large semantic graph that describes general human knowledge and how it is expressed in natural language. Here we present the latest iteration, ConceptNet 5, with a focus on its fundamental design decisions and ways to interoperate with it. 6.1 Introduction The wisdom of crowds can be found all over the Web. Some of the most significant recent advances in collecting the world's knowledge appear in resources such as Wikipedia and Wiktionary, which are written for people by large numbers of people, yet converge on a structure that can be made understandable by computers. Meanwhile, "games with a purpose" collect large quantities of specific knowledge while simply providing entertainment in return. Both are knowledge sources that can provide a wealth of information to computers about how people use and understand language, as long as it can be compiled into a useful and scalable representation. ConceptNet is a project that creates such a representation of crowd-sourced knowledge, providing a large semantic graph that describes general human knowledge and how it is expressed in natural language. The scope of ConceptNet includes words and common phrases in any written human language. It provides a large set of background knowledge that a computer application working with natural language text should know. These words and phrases are related through an open domain of predicates, such as IsA or UsedFor, describing not just how words are related by their lexical R. Speer () C. Havasi ()