Paper Info
Title
Context recognition using internet as a knowledge base
Abstract
Context recognition is an important component of the common sense knowledge problem, which is one of the key research areas in the field of Artificial Intelligence. The paper develops a model of context recognition using the Internet as a knowledge base. The use of the Internet as a database for context recognition gives a context recognition model immediate access to a nearly infinite amount of data in a multiplicity of fields. Context is represented here as any textual description that is most commonly selected by a set of subjects to describe a given situation. The model input is based on any aspect of the situation that can be translated into text (such as: voice recognition, image recognition, facial expression interpretation, and smell identification). The research model is based on the streaming in text format of information that represents situations--Internet chats, e-mails, Shakespeare plays, or article abstracts. The comparison of the results of the algorithm with the results of human subjects yielded a very high agreement and correlation. The results showed there was no significant difference in the determination of context between the algorithm and the human subjects.
Year
DOI
Venue
2007
10.1007/s10844-006-0015-y
J. Intell. Inf. Syst.
Keywords
Field
DocType
Record classification,Retrieval models,Metadata,Information filtering,Text analysis,Knowledge retrieval
Data mining,Commonsense knowledge,Computer science,Artificial intelligence,Natural language processing,Knowledge base,The Internet,Metadata,Intelligent character recognition,Formatted text,Sketch recognition,Knowledge retrieval,Machine learning
Journal
Volume
Issue
ISSN
29
3
0925-9902
Citations 
PageRank 
References 
12
0.80
16
Authors
3
Name
Order
Citations
PageRank
Aviv Segev124921.04
Moshe Leshno248184.14
Moshe Zviran358565.97