Design of Layers in Knowledgebase For Expert Systems
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2016, Vol 18, Issue 3
Abstract
Abstract: In any Expert System, Knowledge is the basic functional unit for building a knowledgebase[1]. Hence, Expert Systems are totally/partially depended on Knowledgebases for its intelligent functionality. In our proposed design of Knowledgebase, we have divided it into 3 layers: Logical or Design Layer, Knowledge Layer and Storage Layer. In Logical layer or Design layer a high-level statement or a file is the input, which is processed, and clauses (functional & predicate symbols) are extracted [3]. These will form the basic unit for designing a knowledge unit (KU). These KUs are validated for their scope with identified relations. Then we will create various set of domain-dependent predicates and functions to represent the Knowledge in the Knowledge layer. This representation will be converted to Object Relational Database and will be stored in Storage Layer[2]. Researchers working in design and development of Knowledgebase will be benefitted by this.
Authors and Affiliations
Yugandhara A. Nimbalkar , Dr. Justus S
Minimization of Side Effects of Knowledge Hiding Based On Association Rule Mining
Abstract: Privacy is very important in Data Mining. Association rule mining, is a important technique, has already been applied in a wide range of areas. Large databases cannot be secured by encryption or other tec...
A Fast & Memory Efficient Technique for Mining Frequent Item Sets from a Data Set
Abstract: Frequent/Periodic item set mining is a extensively used data mining method for market based analysis,privacy preserving and it is also a heart favourite theme for the resarchers. A substantial work has be...
Chaos Encryption and Coding for Image Transmission Over Noisy Channel
Abstract: The security and reliability of image transmission over wireless noisy channels are a big challenge. Ciphering techniques achieve security, but don’t consider the effect of errors occurring during wireless tran...
Applications for Big Data in of Intelligent Distributed Processing
Abstract: Today, “Big Data” has posed new problem of over-information in many different areas. Such areasinclude health care (e.g., hospitals, bioinformatics), e-sciences (e.g., physics, chemistry, and geology), andsocia...
An Efficient Approach for Requirement Traceability Integrated With Software Repository
Traceability links between requirements of a system and its source code are helpful in reducing system conception effort. During software updates and maintenance, the traceability links become invalid since  ...