Ontology Alignment Using Biologically-inspired Optimisation Algorithms PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Ontology Alignment Using Biologically-inspired Optimisation Algorithms PDF full book. Access full book title Ontology Alignment Using Biologically-inspired Optimisation Algorithms by Jürgen Bock. Download full books in PDF and EPUB format.
Author: Jürgen Bock
Publisher: KIT Scientific Publishing
ISBN: 3866449364
Category : Science
Languages : en
Pages : 244
Get Book Here
Book Description
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.
Author: Jürgen Bock
Publisher: KIT Scientific Publishing
ISBN: 3866449364
Category : Science
Languages : en
Pages : 244
Get Book Here
Book Description
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.
Author: Jürgen Bock
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
Get Book Here
Book Description
Author: Moustapha Fall
Publisher: Routledge
ISBN: 9781000030761
Category : Education
Languages : en
Pages : 0
Get Book Here
Book Description
This text illustrates the crucial role of the mother tongue literacy in second language acquisition by presenting findings from a comparative study conducted in primary schools in Senegal. In addition, the volume provides an in-depth look at the linguistic history of Senegal before, during, and after French colonialism. The Impact of Mother Tongue Illiteracy on Second Language Acquisition discusses the socio-linguistic landscape and ethnolinguistic composition of Senegal and its effect on the second language acquisition. An in-depth analysis of children’s phonological awareness, decoding, and reading comprehension in French reveals significant disparities in the literacy skills of Wolof children who have been exposed to Arabic and Qur’anic texts prior to schooling, and those who have not. In doing so, the text explores the impacts of post-colonial language policies in Africa, highlights the pedagogical consequences of mother tongue illiteracy, and questions the use of French as the only language of instruction in Senegalese schools. This detailed research text will of great interest and use to graduate and postgraduate students, researchers, academics, professionals and policy makers in the field of Second Language Acquisition, Multicultural Education, Applied Linguistics, French language education and, Language Policy and Planning.
Author: Radek Silhavy
Publisher: Springer
ISBN: 331957261X
Category : Technology & Engineering
Languages : en
Pages : 563
Get Book Here
Book Description
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.
Author: Management Association, Information Resources
Publisher: IGI Global
ISBN: 1799880990
Category : Computers
Languages : en
Pages : 1534
Get Book Here
Book Description
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.
Author: Priti Srinivas Sajja
Publisher: Elsevier Inc. Chapters
ISBN: 0128068981
Category : Computers
Languages : en
Pages : 32
Get Book Here
Book 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.
Author: Xin-She Yang
Publisher: Newnes
ISBN: 0124051774
Category : Computers
Languages : en
Pages : 445
Get Book Here
Book Description
Swarm Intelligence and bio-inspired computation have become increasing popular in the last two decades. Bio-inspired algorithms such as ant colony algorithms, bat algorithms, bee algorithms, firefly algorithms, cuckoo search and particle swarm optimization have been applied in almost every area of science and engineering with a dramatic increase of number of relevant publications. This book reviews the latest developments in swarm intelligence and bio-inspired computation from both the theory and application side, providing a complete resource that analyzes and discusses the latest and future trends in research directions. It can help new researchers to carry out timely research and inspire readers to develop new algorithms. With its impressive breadth and depth, this book will be useful for advanced undergraduate students, PhD students and lecturers in computer science, engineering and science as well as researchers and engineers. Focuses on the introduction and analysis of key algorithms Includes case studies for real-world applications Contains a balance of theory and applications, so readers who are interested in either algorithm or applications will all benefit from this timely book.
Author: Punit Gupta
Publisher: CRC Press
ISBN: 1000811514
Category : Computers
Languages : en
Pages : 269
Get Book Here
Book Description
A new era of complexity science is emerging, in which nature- and bio-inspired principles are being applied to provide solutions. At the same time, the complexity of systems is increasing due to such models like the Internet of Things (IoT) and fog computing. Will complexity science, applying the principles of nature, be able to tackle the challenges posed by highly complex networked systems? Bio-Inspired Optimization in Fog and Edge Computing: Principles, Algorithms, and Systems is an attempt to answer this question. It presents innovative, bio-inspired solutions for fog and edge computing and highlights the role of machine learning and informatics. Nature- or biological-inspired techniques are successful tools to understand and analyze a collective behavior. As this book demonstrates, algorithms, and mechanisms of self-organization of complex natural systems have been used to solve optimization problems, particularly in complex systems that are adaptive, ever-evolving, and distributed in nature. The chapters look at ways of enhancingto enhance the performance of fog networks in real-world applications using nature-based optimization techniques. They discuss challenges and provide solutions to the concerns of security, privacy, and power consumption in cloud data center nodes and fog computing networks. The book also examines how: The existing fog and edge architecture is used to provide solutions to future challenges. A geographical information system (GIS) can be used with fog computing to help users in an urban region access prime healthcare. An optimization framework helps in cloud resource management. Fog computing can improve the quality, quantity, long-term viability, and cost-effectiveness in agricultural production. Virtualization can support fog computing, increase resources to be allocated, and be applied to different network layers. The combination of fog computing and IoT or cloud computing can help healthcare workers predict and analyze diseases in patients.
Author: Cheng, Shi
Publisher: IGI Global
ISBN: 1799832244
Category : Computers
Languages : en
Pages : 482
Get Book Here
Book Description
The use of optimization algorithms has seen an emergence in various professional fields due to its ability to process data and information in an efficient and productive manner. Combining computational intelligence with these algorithms has created a trending subject of research on how much more beneficial intelligent-inspired algorithms can be within companies and organizations. As modern theories and applications are continually being developed in this area, professionals are in need of current research on how intelligent algorithms are advancing in the real world. TheHandbook of Research on Advancements of Swarm Intelligence Algorithms for Solving Real-World Problems is a pivotal reference source that provides vital research on the development of swarm intelligence algorithms and their implementation into current issues. While highlighting topics such as multi-agent systems, bio-inspired computing, and evolutionary programming, this publication explores various concepts and theories of swarm intelligence and outlines future directions of development. This book is ideally designed for IT specialists, researchers, academicians, engineers, developers, practitioners, and students seeking current research on the real-world applications of intelligent algorithms.
Author: Jun Chen
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
Get Book Here
Book Description
