Paper Info
Title
Acquiring and Using World Knowledge Using a Restricted Subset of English
Abstract
Many AI applications require a base of world knowledge to support reasoning. However, construction of such inference- capable knowledge bases, even if constrained in coverage, re- mains one of the major challenges of AI. Authoring knowl- edge in formal logic is too complex a task for many users, while knowledge authored in unconstrained natural language is generally too difficult for computers to understand. How- ever, there is an intermediate position, which we are pursuing, namely authoring knowledge in a restricted subset of natu- ral language. Our claim is that this approach hits a "sweet spot" between the former two extremes, being both usable by humans and understandable by machines. We have de- veloped such a language (called CPL, Computer-Processable Language), an interpreter, and a reasoner, and have used them to encode approximately 1000 "commonsense" rules (a mix- ture of general and domain-specific). The knowledge base is being used experimentally for semantic retrieval of video clips based on their captions, also expressed in CPL. In this paper, we describe CPL, its interpretation, and its use for rea- soning, and discuss the strengths and weaknesses of restricted natural language as a the basis for knowledge representation.
Year
Venue
Keywords
2005
FLAIRS Conference
natural language,knowledge representation,formal logic,knowledge base
Field
DocType
Citations 
Procedural knowledge,Commonsense knowledge,Knowledge representation and reasoning,Question answering,Domain knowledge,Computer science,Knowledge-based systems,Artificial intelligence,Natural language processing,Universal Networking Language,Machine learning,Open Knowledge Base Connectivity
Conference
43
PageRank 
References 
Authors
3.37
5
5
Name
Order
Citations
PageRank
Peter Clark178072.67
Philip Harrison2444.36
Thomas Jenkins3433.71
John Thompson418816.34
Richard H. Wojcik5455.99