Swarm Intelligence and Bio-Inspired Computation: 12. Bio-Inspired Models for Semantic Web

Swarm Intelligence and Bio-Inspired Computation: 12. Bio-Inspired Models for Semantic Web
ISBN-10
0128068981
ISBN-13
9780128068984
Series
Swarm Intelligence and Bio-Inspired Computation
Category
Computers
Pages
450
Language
English
Published
2013-05-16
Publisher
Elsevier Inc. Chapters
Authors
Priti Srinivas Sajja, Rajendra Akerkar

Description

Bio-inspired models have taken inspiration from the nature to solve challenging problems in an intelligent manner. Major aims of such bio-inspired models of computation are to propose new unconventional computing architectures and novel problem solving paradigms. Computing models such as artificial neural network (ANN), genetic algorithm (GA), and swarm intelligence (SI) are major constituent models of the bio-inspired approach. Applications of these models are ubiquitous and hence proposed to be applied for Semantic Web. The chapter discusses fundamentals of these bio-inspired constituents along with some heuristic that can be used to design and implement these constituents and briefly surveys recent applications of these models for the Semantic Web. The study shows that the objective of the Semantic Web is better met with such approach and the Web can be accessed in more human-oriented way. At the end, a generic framework for web content filtering based on neuro-fuzzy approach is presented. By considering online webpages and fuzzy user profile, the proposed system classifies the webpages into vague categories using a neural network.

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