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Ontology Alignment Using Biologically-inspired Optimisation Algorithms

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Release : 2014-07-31
Genre : Science
Kind : eBook
Book Rating : 364/5 ( reviews)

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Book Synopsis Ontology Alignment Using Biologically-inspired Optimisation Algorithms by : Jürgen Bock

Download or read book Ontology Alignment Using Biologically-inspired Optimisation Algorithms written by Jürgen Bock. This book was released on 2014-07-31. Available in PDF, EPUB and Kindle. Book excerpt: It is investigated how biologically-inspired optimisation methods can be used to compute alignments between ontologies. Independent of particular similarity metrics, the developed techniques demonstrate anytime behaviour and high scalability. Due to the inherent parallelisability of these population-based algorithms it is possible to exploit dynamically scalable cloud infrastructures - a step towards the provisioning of Alignment-as-a-Service solutions for future semantic applications.

Ontology Alignment Using Biologically-inspired Optimisation Algorithms

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Author :
Release : 2012
Genre :
Kind : eBook
Book Rating : /5 ( reviews)

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Book Synopsis Ontology Alignment Using Biologically-inspired Optimisation Algorithms by : Jürgen Bock

Download or read book Ontology Alignment Using Biologically-inspired Optimisation Algorithms written by Jürgen Bock. This book was released on 2012. Available in PDF, EPUB and Kindle. Book excerpt:

Artificial Intelligence Trends in Intelligent Systems

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Release : 2017-04-06
Genre : Technology & Engineering
Kind : eBook
Book Rating : 61X/5 ( reviews)

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Book Synopsis Artificial Intelligence Trends in Intelligent Systems by : Radek Silhavy

Download or read book Artificial Intelligence Trends in Intelligent Systems written by Radek Silhavy. This book was released on 2017-04-06. Available in PDF, EPUB and Kindle. Book excerpt: This book presents new methods and approaches to real-world problems as well as exploratory research that describes novel artificial intelligence applications, including deep learning, neural networks and hybrid algorithms. This book constitutes the refereed proceedings of the Artificial Intelligence Trends in Intelligent Systems Section of the 6th Computer Science On-line Conference 2017 (CSOC 2017), held in April 2017.

Research Anthology on Multi-Industry Uses of Genetic Programming and Algorithms

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Release : 2020-12-05
Genre : Computers
Kind : eBook
Book Rating : 990/5 ( reviews)

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Book Synopsis Research Anthology on Multi-Industry Uses of Genetic Programming and Algorithms by : Management Association, Information Resources

Download or read book Research Anthology on Multi-Industry Uses of Genetic Programming and Algorithms written by Management Association, Information Resources. This book was released on 2020-12-05. Available in PDF, EPUB and Kindle. Book excerpt: Genetic programming is a new and evolutionary method that has become a novel area of research within artificial intelligence known for automatically generating high-quality solutions to optimization and search problems. This automatic aspect of the algorithms and the mimicking of natural selection and genetics makes genetic programming an intelligent component of problem solving that is highly regarded for its efficiency and vast capabilities. With the ability to be modified and adapted, easily distributed, and effective in large-scale/wide variety of problems, genetic algorithms and programming can be utilized in many diverse industries. This multi-industry uses vary from finance and economics to business and management all the way to healthcare and the sciences. The use of genetic programming and algorithms goes beyond human capabilities, enhancing the business and processes of various essential industries and improving functionality along the way. The Research Anthology on Multi-Industry Uses of Genetic Programming and Algorithms covers the implementation, tools and technologies, and impact on society that genetic programming and algorithms have had throughout multiple industries. By taking a multi-industry approach, this book covers the fundamentals of genetic programming through its technological benefits and challenges along with the latest advancements and future outlooks for computer science. This book is ideal for academicians, biological engineers, computer programmers, scientists, researchers, and upper-level students seeking the latest research on genetic programming.

Swarm Intelligence and Bio-Inspired Computation

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Release : 2013-05-16
Genre : Computers
Kind : eBook
Book Rating : 981/5 ( reviews)

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Book Synopsis Swarm Intelligence and Bio-Inspired Computation by : Priti Srinivas Sajja

Download or read book Swarm Intelligence and Bio-Inspired Computation written by Priti Srinivas Sajja. This book was released on 2013-05-16. Available in PDF, EPUB and Kindle. Book excerpt: 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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