Polarity Classification of Subjective Words Using Common-Sense Knowledge-Base

2009 ◽  
pp. 486-493 ◽  
Author(s):  
Ashish Sureka ◽  
Vikram Goyal ◽  
Denzil Correa ◽  
Anirban Mondal
Keyword(s):  
Knowledge Base ◽  
Common Sense ◽  
Polarity Classification ◽  
Common Sense Knowledge

COMMON SENSE KNOWLEDGE BASE EXPANDED BY AN ONLINE EDUCATIONAL ENVIRONMENT

2009 ◽  
Author(s):  
Junia Coutinho Anacleto ◽  
Alexandre Mello Ferreira ◽  
Eliane Nascimento Pereira ◽  
Izaura Maria Carelli ◽  
Marcos Alexandre Rose Silva ◽  
...  
Keyword(s):  
Knowledge Base ◽  
Common Sense ◽  
Educational Environment ◽  
Common Sense Knowledge

scholarly journals Integrating Robot Task Planner with Common-sense Knowledge Base to Improve the Efficiency of Planning

2013 ◽  
Vol 22 ◽  
pp. 211-220 ◽  
Author(s):  
Ahmed Al-Moadhen ◽  
Renxi Qiu ◽  
Michael Packianather ◽  
Ze Ji ◽  
Rossi Setchi
Keyword(s):  
Knowledge Base ◽  
Common Sense ◽  
Robot Task ◽  
Common Sense Knowledge

Common-sense Knowledge Representation and Reasoning, and its Application to Face Detection

1998 ◽  
Vol 2 (3) ◽  
pp. 96-103 ◽  
Author(s):  
Abbas Z. Kouzani ◽  
◽  
Fangpo He ◽  
Karl Sammut
Keyword(s):  
Knowledge Representation ◽  
Knowledge Base ◽  
Face Detection ◽  
Common Sense ◽  
Detection System ◽  
Basic Element ◽  
Knowledge Representation And Reasoning ◽  
Final Decision ◽  
Connectionist Model ◽  
Common Sense Knowledge

This paper highlights the theory of common-sense knowledge in terms of representation and reasoning. A connectionist model is proposed for common-sense knowledge representation and reasoning. A generic fuzzy neuron is used as a basic element for the connectionist model. The representation and reasoning ability of the model are described through examples. A common-sense knowledge base is employed to develop a human face detection system. The system consists of three stages: preprocessing, face-components extraction, and final decision making. A neural-network-based algorithm is utilised to extract face components. Five networks are trained to detect the mouth, nose, eyes, and full face. The detected face components and their corresponding possibility degrees enable the knowledge base to locate faces in the image and to generate a membership degree for the detected faces within the face class. The experimental results obtained using this method are presented.

Acquiring Knowledge in Extended Hierarchical Censored Production Rules (EHCPRS) System

2010 ◽  
Vol 1 (4) ◽  
pp. 10-28 ◽  
Author(s):  
Sarika Jain ◽  
N.K. Jain
Keyword(s):  
Knowledge Representation ◽  
Knowledge Base ◽  
Common Sense ◽  
Knowledge Structure ◽  
Knowledge Representation And Reasoning ◽  
Production Rules ◽  
Proper Place ◽  
Continuous Growth ◽  
Reasoning System ◽  
Common Sense Knowledge

EHCPRs system is a knowledge representation and reasoning system for representing common sense knowledge and reasoning with it. In such a system an EHCPR is used as a unit of knowledge for representing any universal concept. There are a number of EHCPRs at various levels of hierarchy of knowledge structure in the EHCPRs system, which results in a tree of EHCPRs. This EHCPRs tree has the capability of continuous growth through new added EHCPRs to it at proper place as well as to get refined continuously with time through improvement in the already acquired EHCPRs. The EHCPRs tree will become stronger in terms of strength of implication and richer in knowledge as time passes. This paper discusses different schemes for enhancing the intelligence, i.e., the knowledge base and the database in the EHCPRs system. By simple and general snippets of code, the EHCPRs system is able to acquire new pieces of knowledge and assimilate it properly in the already acquired knowledge base. The EHCPRs system dynamically restructures the EHCPRs tree in each learning phase by maintaining consistency and minimizing redundancy as well.

Linguistic and political barriers in the international transfer of information in science and technology: A reinterpretation

1983 ◽  
Vol 6 (5) ◽  
pp. 179-181
Author(s):  
Jim Davies
Keyword(s):  
Knowledge Base ◽  
Group Dynamics ◽  
Common Sense ◽  
Information Transfer ◽  
Science And Technology ◽  
Historical Background ◽  
Current Group ◽  
Adequate Information ◽  
Transfer Of Information ◽  
Common Sense Knowledge

The arguments of J. Michel are summarised and challenged. Linguistic and political barriers in science and technology are held to be more dependent on group dynamics and mores than on the arguments, traditional to information scientists, mar shalled in the original paper. This paper concludes with a plea for a proper awareness of the cultural, historical background and local 'common sense" knowledge base of the group's initiates, with a perception of current group problems, before adequate information transfer can be effected.

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