Corpus-Based Knowledge Representation

A corpus-based knowledge representation system consists of a large collection of disparate knowledge fragments or schemas, and a rich set of statistics computed over the corpus. We argue that by collecting such a corpus and computing the appropriate statistics, corpus-based representation offers an alternative to traditional knowledge representation for a broad class of applications. The key advantage of corpusbased representation is that we avoid the laborious process of building a (often brittle) knowledge base. We describe the basic building blocks of a corpus-based representation system and a set of applications for which such a paradigm is appropriate, including one application where the approach is already showing promising results.

• Type: Conference
• Year: 2003
• Where: IJCAI
• Authors: Alon Y. Halevy, Jayant Madhavan
• Keywords: Corpus-based Knowledge Representation, Corpus-based Representation, IJCAI 2003, IJCAI 2007, Traditional Knowledge Representation