Errata for “Evaluation of Knowledge Representation Schemes as a Prerequisite toward Development of a Knowledge-Based System” by Devan Bhattacharya and Jayanta Kumar Ghosh

2010 ◽  
Vol 24 (1) ◽  
pp. 127-127
Author(s):  
Devanjan Bhattacharya ◽  
Jayanta Kumar Ghosh
Keyword(s):  
Knowledge Representation ◽  
Knowledge Based System ◽  
Knowledge Based

Biography as Scenario

2018 ◽  
pp. 261-269
Author(s):  
Maria Mandrik ◽  
Sergey Arustamov
Keyword(s):  
Knowledge Representation ◽  
Database Design ◽  
Knowledge Based System ◽  
Knowledge Based ◽  
Primary Key ◽  
Descriptive Knowledge ◽  
Data Scheme

Purely descriptive knowledge appears to have a structure that can be formalized using the newly developed tool of dynamic knowledge representation, the event bush. In its framework, a singular biography can be transformed into a knowledge-based system with an opportunity of creation of a database. However, the very approach to the database design may undergo quite a change thereafter. This change may concern the concept of primary key, composition of data scheme, and other fundamental issues of database design.

Ontology-Based Optimization in Search Engine

2013 ◽  
pp. 285-301
Author(s):  
Leonardo Balduzzi ◽  
Ignacio Cuesta
Keyword(s):  
Knowledge Representation ◽  
Knowledge Base ◽  
Search Engine ◽  
Search Engines ◽  
Inductive Learning ◽  
System Evolution ◽  
Knowledge Based System ◽  
Learning Capacity ◽  
Knowledge Based ◽  
Learning Techniques

The major aim of the chapter is to propose and study the use of ontology-based optimization for positioning websites in search engines. In this sense, using heterogeneous inductive learning techniques and ontology for knowledge representation, a knowledge-based system which is capable of supporting the activity of SEO (Search Engine Optimization) has been designed and implemented. From its knowledge base, the system suggests the most appropriate optimization tasks for positioning a pair (keyword, website) on the first page of search engines and infers the positioning results to be obtained. The system evolution and learning capacity allows optimizing the productivity and effectiveness of the SEO process.

Review of Knowledge Based Engineering with PLM

2007 ◽  
Vol 10-12 ◽  
pp. 127-131 ◽  
Author(s):  
Q.C. Ma ◽  
X.W. Liu
Keyword(s):  
Knowledge Representation ◽  
General Structure ◽  
Digital Tools ◽  
Current Development ◽  
Knowledge Based System ◽  
Domain Specific ◽  
Knowledge Based ◽  
History Of ◽  
Knowledge Based Engineering ◽  
Internal Knowledge

This paper starts with an analysis of the need for knowledge based engineering (KBE) system based on typical domain-specific engineering products. It looks back the history of KBE and exams the general structure of KBE systems. It then reviews the current development, particularly the knowledge representation in a KBE system, followed by a discussion of the shortcomings regarding to the maintenance and excessive cost of integrations with other digital tools. Finally it recommends the characteristics of a genuine KBE system and the standardization of KBE applications, particularly the internal knowledge representation standards and knowledge-based system interface standards with CAx systems and PLM solutions.

KNOBS (Knowledge-Based System) - The Final Report (1982).

1986 ◽  
Author(s):  
Richard H. Brown ◽  
Jonathan K. Millen ◽  
Ethan A. Scarl
Keyword(s):  
Final Report ◽  
Knowledge Based System ◽  
Knowledge Based
Sign in / Sign up

Export Citation Format

Share Document