Knowledge Seeker Ontology Modelling For Information Search And Management

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Knowledge Seeker - Ontology Modelling for Information Search and Management

Edward H. Y. Lim,James N. K. Liu,Raymond S.T. Lee
Knowledge Seeker Ontology Modelling for Information Search and Management Book PDF

Author : Edward H. Y. Lim,James N. K. Liu,Raymond S.T. Lee
Publisher : Springer Science & Business Media
Page : 252 pages
File Size : 51,6 Mb
Release : 2011-01-31
Category : Technology & Engineering
ISBN : 9783642179167

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Knowledge Seeker - Ontology Modelling for Information Search and Management by Edward H. Y. Lim,James N. K. Liu,Raymond S.T. Lee Pdf

The Knowledge Seeker is a useful system to develop various intelligent applications such as ontology-based search engine, ontology-based text classification system, ontological agent system, and semantic web system etc. The Knowledge Seeker contains four different ontological components. First, it defines the knowledge representation model ¡V Ontology Graph. Second, an ontology learning process that based on chi-square statistics is proposed for automatic learning an Ontology Graph from texts for different domains. Third, it defines an ontology generation method that transforms the learning outcome to the Ontology Graph format for machine processing and also can be visualized for human validation. Fourth, it defines different ontological operations (such as similarity measurement and text classification) that can be carried out with the use of generated Ontology Graphs. The final goal of the KnowledgeSeeker system framework is that it can improve the traditional information system with higher efficiency. In particular, it can increase the accuracy of a text classification system, and also enhance the search intelligence in a search engine. This can be done by enhancing the system with machine processable ontology.

Ontology Makes Sense

S. Borgo,R. Ferrario,C. Masolo
Ontology Makes Sense Book PDF

Author : S. Borgo,R. Ferrario,C. Masolo
Publisher : IOS Press
Page : 310 pages
File Size : 55,5 Mb
Release : 2019-04-05
Category : Computers
ISBN : 9781614999553

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Ontology Makes Sense by S. Borgo,R. Ferrario,C. Masolo Pdf

Nicola Guarino is widely recognized as one of the founders of applied ontology. His deep interest in the subtlest details of theoretical analysis and his vision of ontology as the Rosetta Stone for semantic interoperability guided the development and understanding of this domain. His motivations in research stem from the conviction that all science must be for the benefit of society at large, and his motto has always been that ontologies are not just for making information systems interoperable, but – more importantly – for ensuring that systems’ users understand each other. He was among the first to recognize that applied ontology must be an interdisciplinary enterprise if it is to capture the intended meaning of the terms used by an information system. This book is a collection of essays written in homage to Nicola Guarino; a tribute to his many scientific contributions to the discipline of applied ontology. The papers presented here reflect the wide variety of research topics that marked Nicola's impact on the applied ontology community. They are grouped according to the five general areas addressed by Nicola in his career: what is an ontology; knowledge engineering; ontologies and language; ontological categories and relationships; and ontologies and applications. Nicola Guarino's work and dedication will undoubtedly continue to influence the applied ontology community, and this book will be of interest to the many researchers aiming to establish ontologically sound bases for their research areas.

Advances in Knowledge-Based and Intelligent Information and Engineering Systems

Manuel Graña
Advances in Knowledge Based and Intelligent Information and Engineering Systems Book PDF

Author : Manuel Graña
Publisher : IOS Press
Page : 2307 pages
File Size : 46,7 Mb
Release : 2012
Category : Computers
ISBN : 9781614991045

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Advances in Knowledge-Based and Intelligent Information and Engineering Systems by Manuel Graña Pdf

In this 2012 edition of Advances in Knowledge-Based and Intelligent Information and Engineering Systems the latest innovations and advances in Intelligent Systems and related areas are presented by leading experts from all over the world. The 228 papers that are included cover a wide range of topics. One emphasis is on Information Processing, which has become a pervasive phenomenon in our civilization. While the majority of Information Processing is becoming intelligent in a very broad sense, major research in Semantics, Artificial Intelligence and Knowledge Engineering supports the domain specific applications that are becoming more and more present in our everyday living. Ontologies play a major role in the development of Knowledge Engineering in various domains, from Semantic Web down to the design of specific Decision Support Systems. Research on Ontologies and their applications is a highly active front of current Computational Intelligence science that is addressed here. Other subjects in this volume are modern Machine Learning, Lattice Computing and Mathematical Morphology.The wide scope and high quality of these contributions clearly show that knowledge engineering is a continuous living and evolving set of technologies aimed at improving the design and understanding of systems and their relations with humans.

Handbook of Research on Organizational Culture Strategies for Effective Knowledge Management and Performance

Tessier, Dana
Handbook of Research on Organizational Culture Strategies for Effective Knowledge Management and Performance Book PDF

Author : Tessier, Dana
Publisher : IGI Global
Page : 394 pages
File Size : 54,7 Mb
Release : 2021-06-25
Category : Business & Economics
ISBN : 9781799874249

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Handbook of Research on Organizational Culture Strategies for Effective Knowledge Management and Performance by Tessier, Dana Pdf

Organizations are facing major disruptions in technology, consumer preferences, and in the makeup of their workforce, and as a result, they will need to adapt to these rapidly changing times to stay effective. Organizations that are able to tap into the collective knowledge of their employees and leverage their insights will have an advantage over those that lack this connectivity. Implementing a knowledge management (KM) strategy can help organizations improve operational effectiveness, innovation, and adapt to changes, but the majority of KM implementations fail due to misalignment with the organization's existing culture. Organizational culture can enable effective KM, or it can be a barrier to its implementation. The Handbook of Research on Organizational Culture Strategies for Effective Knowledge Management and Performance defines the relationship between organizational culture and knowledge management and how they impact one another. This handbook also identifies critical business practices to assist organizations in transitioning to work from home while maintaining a strong corporate culture that includes beneficial knowledge-sharing behaviors. Covering topics including knowledge management, organizational culture, and change management, this text is essential for managers, executives, practitioners, leaders in business, non-profits, academicians, researchers, and students looking for research on how organizations can thrive and adapt due to emerging global disruptions as well as local or internal disruptions.

Artificial Intelligence in Daily Life

Raymond S. T. Lee
Artificial Intelligence in Daily Life Book PDF

Author : Raymond S. T. Lee
Publisher : Springer Nature
Page : 394 pages
File Size : 42,5 Mb
Release : 2020-08-22
Category : Computers
ISBN : 9789811576959

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Artificial Intelligence in Daily Life by Raymond S. T. Lee Pdf

Given the exponential growth of Artificial Intelligence (AI) over the past few decades, AI and its related applications have become part of daily life in ways that we could never have dreamt of only a century ago. Our routines have been changed beyond measure by robotics and AI, which are now used in a vast array of services. Though AI is still in its infancy, we have already benefited immensely. This book introduces readers to basic Artificial Intelligence concepts, and helps them understand the relationship between AI and daily life. In the interest of clarity, the content is divided into four major parts. Part I (AI Concepts) presents fundamental concepts of and information on AI; while Part II (AI Technology) introduces readers to the five core AI Technologies that provide the building blocks for various AI applications, namely: Machine Learning (ML), Data Mining (DM), Computer Vision (CV), Natural Languages Processing (NLP), and Ontology-based Search Engine (OSE). In turn, Part III (AI Applications) reviews major contemporary applications that are impacting our ways of life, working styles and environment, ranging from intelligent agents and robotics to smart campus and smart city projects. Lastly, Part IV (Beyond AI) addresses related topics that are vital to the future development of AI. It also discusses a number of critical issues, such as AI ethics and privacy, the development of a conscious mind, and autonomous robotics in our daily lives.

Knowledge Engineering, Machine Learning and Lattice Computing with Applications

Manuel Grana,Carlos Toro,Robert J. Howlett,Lakhmi C Jain
Knowledge Engineering Machine Learning and Lattice Computing with Applications Book PDF

Author : Manuel Grana,Carlos Toro,Robert J. Howlett,Lakhmi C Jain
Publisher : Springer
Page : 214 pages
File Size : 42,6 Mb
Release : 2013-03-20
Category : Computers
ISBN : 9783642373435

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Knowledge Engineering, Machine Learning and Lattice Computing with Applications by Manuel Grana,Carlos Toro,Robert J. Howlett,Lakhmi C Jain Pdf

This book constitutes the refereed proceedings of the 16th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2012, held in San Sebastian, Spain, in September 2012. The 20 revised full papers presented were carefully reviewed and selected from 130 submissions. The papers are organized in topical sections on bioinspired and machine learning methods, machine learning applications, semantics and ontology based techniques, and lattice computing and games.

Knowledge Annotation: Making Implicit Knowledge Explicit

Alexiei Dingli
Knowledge Annotation Making Implicit Knowledge Explicit Book PDF

Author : Alexiei Dingli
Publisher : Springer Science & Business Media
Page : 149 pages
File Size : 54,5 Mb
Release : 2011-04-06
Category : Technology & Engineering
ISBN : 9783642203237

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Knowledge Annotation: Making Implicit Knowledge Explicit by Alexiei Dingli Pdf

Did you ever read something on a book, felt the need to comment, took up a pencil and scribbled something on the books’ text’? If you did, you just annotated a book. But that process has now become something fundamental and revolutionary in these days of computing. Annotation is all about adding further information to text, pictures, movies and even to physical objects. In practice, anything which can be identified either virtually or physically can be annotated. In this book, we will delve into what makes annotations, and analyse their significance for the future evolutions of the web. We will explain why it was thought to be unreasonable to annotate documents manually and how Web 2.0 is making us rethink our beliefs. We will have a look at tools which make use of Artificial Intelligence techniques to support people in the annotation task. Behind these tools, there exists an important property of the web known as redundancy; we will explain what it is and show how it can be exploited. Finally we will gaze into the crystal ball and see what we might expect to see in the future. Until people understand what the web is all about and its grounding in annotation, people cannot start appreciating it. And until they do so, they cannot start creating the web of the future.

Neural Information Processing

Bao-Liang Lu,Liqing Zhang,James Kwok
Neural Information Processing Book PDF

Author : Bao-Liang Lu,Liqing Zhang,James Kwok
Publisher : Springer
Page : 778 pages
File Size : 41,6 Mb
Release : 2011-11-12
Category : Computers
ISBN : 9783642249587

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Neural Information Processing by Bao-Liang Lu,Liqing Zhang,James Kwok Pdf

The three volume set LNCS 7062, LNCS 7063, and LNCS 7064 constitutes the proceedings of the 18th International Conference on Neural Information Processing, ICONIP 2011, held in Shanghai, China, in November 2011. The 262 regular session papers presented were carefully reviewed and selected from numerous submissions. The papers of part I are organized in topical sections on perception, emotion and development, bioinformatics, biologically inspired vision and recognition, bio-medical data analysis, brain signal processing, brain-computer interfaces, brain-like systems, brain-realistic models for learning, memory and embodied cognition, Clifford algebraic neural networks, combining multiple learners, computational advances in bioinformatics, and computational-intelligent human computer interaction. The second volume is structured in topical sections on cybersecurity and data mining workshop, data mining and knowledge doscovery, evolutionary design and optimisation, graphical models, human-originated data analysis and implementation, information retrieval, integrating multiple nature-inspired approaches, Kernel methods and support vector machines, and learning and memory. The third volume contains all the contributions connected with multi-agent systems, natural language processing and intelligent Web information processing, neural encoding and decoding, neural network models, neuromorphic hardware and implementations, object recognition, visual perception modelling, and advances in computational intelligence methods based pattern recognition.

Intelligent Open Learning Systems

Przemysław Różewski,Emma Kusztina,Ryszard Tadeusiewicz,Oleg Zaikin
Intelligent Open Learning Systems Book PDF

Author : Przemysław Różewski,Emma Kusztina,Ryszard Tadeusiewicz,Oleg Zaikin
Publisher : Springer Science & Business Media
Page : 268 pages
File Size : 55,5 Mb
Release : 2011-07-29
Category : Technology & Engineering
ISBN : 9783642226670

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Intelligent Open Learning Systems by Przemysław Różewski,Emma Kusztina,Ryszard Tadeusiewicz,Oleg Zaikin Pdf

In presented book the Intelligent Open Learning Systems (IOLS) are proposed, described, discussed, and evaluated. The IOLS is a system in which traditional methods of online teaching are enhanced through the use of artificial intelligence and cognitive science. This is the main topic of the book. It consists of ten chapters and is divided into three parts. The first part concentrates on the Open Learning System (OLS) analysis, in particular: the social and educational meanings of the OLS, the new role of the teacher and the new requirements regarding the structure of didactic material. Moreover, the cybernetic model of student, teacher and computer collaboration is presented, the teaching-learning process content and its main characteristics are discussed, and the system based approach to the OLS design is proposed. The second part is focused on the problem of knowledge modeling in the OLS based on the ontology and the competence approaches and leading to the learning object concept and competence management in open systems. The third part describes applications of the OLS in the virtual laboratory for competence transfer, the community-built system of distance learning network, and the AGH student city – the real-life application of the OLS concept. The authors’ research findings presented in the book should be useful in various applications related to knowledge management, e-learning systems and information systems.

From Curve Fitting to Machine Learning

Achim Zielesny
From Curve Fitting to Machine Learning Book PDF

Author : Achim Zielesny
Publisher : Springer Science & Business Media
Page : 476 pages
File Size : 42,8 Mb
Release : 2011-07-28
Category : Technology & Engineering
ISBN : 9783642212802

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From Curve Fitting to Machine Learning by Achim Zielesny Pdf

The analysis of experimental data is at heart of science from its beginnings. But it was the advent of digital computers that allowed the execution of highly non-linear and increasingly complex data analysis procedures - methods that were completely unfeasible before. Non-linear curve fitting, clustering and machine learning belong to these modern techniques which are a further step towards computational intelligence. The goal of this book is to provide an interactive and illustrative guide to these topics. It concentrates on the road from two dimensional curve fitting to multidimensional clustering and machine learning with neural networks or support vector machines. Along the way topics like mathematical optimization or evolutionary algorithms are touched. All concepts and ideas are outlined in a clear cut manner with graphically depicted plausibility arguments and a little elementary mathematics. The major topics are extensively outlined with exploratory examples and applications. The primary goal is to be as illustrative as possible without hiding problems and pitfalls but to address them. The character of an illustrative cookbook is complemented with specific sections that address more fundamental questions like the relation between machine learning and human intelligence. These sections may be skipped without affecting the main road but they will open up possibly interesting insights beyond the mere data massage. All topics are completely demonstrated with the aid of the commercial computing platform Mathematica and the Computational Intelligence Packages (CIP), a high-level function library developed with Mathematica's programming language on top of Mathematica's algorithms. CIP is open-source so the detailed code of every method is freely accessible. All examples and applications shown throughout the book may be used and customized by the reader without any restrictions. The target readerships are students of (computer) science and engineering as well as scientific practitioners in industry and academia who deserve an illustrative introduction to these topics. Readers with programming skills may easily port and customize the provided code.

Decision Making in Complex Systems

Marina V. Sokolova,Antonio Fernández Caballero
Decision Making in Complex Systems Book PDF

Author : Marina V. Sokolova,Antonio Fernández Caballero
Publisher : Springer Science & Business Media
Page : 196 pages
File Size : 48,8 Mb
Release : 2012-01-13
Category : Technology & Engineering
ISBN : 9783642255441

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Decision Making in Complex Systems by Marina V. Sokolova,Antonio Fernández Caballero Pdf

The study of complex systems attracts the attention of many researchers in diverse fields. Complex systems are characterized by a high number of entities and a high degree of interactions. One of the most important features is that they do not involve a central organizing authority, but the various elements that make up the systems are self-organized. Moreover, some complex systems possess an emergency priority: climate change and sustainable development research, studies of public health, ecosystem habitats, epidemiology, and medicine, among others. Unfortunately, a great number of today’s overlapping approaches fail to meet the needs of decision makers when managing complex domains. Indeed, the design of complex systems often requires the integration of a number of artificial intelligence tools and techniques. The problem can be viewed in terms of goals, states, and actions, choosing the best action to move the system toward its desired state or behavior. This is why agent-based approaches are used to model complex systems. The main objective of this book is to bring together existing methods for decision support systems creation within a coherent agent-based framework and to provide an interdisciplinary and flexible methodology for modeling complex and systemic domains.

Advances in Robotics and Virtual Reality

Tauseef Gulrez,Aboul Ella Hassanien
Advances in Robotics and Virtual Reality Book PDF

Author : Tauseef Gulrez,Aboul Ella Hassanien
Publisher : Springer Science & Business Media
Page : 392 pages
File Size : 53,9 Mb
Release : 2011-11-13
Category : Technology & Engineering
ISBN : 9783642233630

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Advances in Robotics and Virtual Reality by Tauseef Gulrez,Aboul Ella Hassanien Pdf

A beyond human knowledge and reach, robotics is strongly involved in tackling challenges of new emerging multidisciplinary fields. Together with humans, robots are busy exploring and working on the new generation of ideas and problems whose solution is otherwise impossible to find. The future is near when robots will sense, smell and touch people and their lives. Behind this practical aspect of human-robotics, there is a half a century spanned robotics research, which transformed robotics into a modern science. The Advances in Robotics and Virtual Reality is a compilation of emerging application areas of robotics. The book covers robotics role in medicine, space exploration and also explains the role of virtual reality as a non-destructive test bed which constitutes a premise of further advances towards new challenges in robotics. This book, edited by two famous scientists with the support of an outstanding team of fifteen authors, is a well suited reference for robotics researchers and scholars from related disciplines such as computer graphics, virtual simulation, surgery, biomechanics and neuroscience.

Average Time Complexity of Decision Trees

Igor Chikalov
Average Time Complexity of Decision Trees Book PDF

Author : Igor Chikalov
Publisher : Springer Science & Business Media
Page : 108 pages
File Size : 55,8 Mb
Release : 2011-08-04
Category : Technology & Engineering
ISBN : 9783642226618

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Average Time Complexity of Decision Trees by Igor Chikalov Pdf

Decision tree is a widely used form of representing algorithms and knowledge. Compact data models and fast algorithms require optimization of tree complexity. This book is a research monograph on average time complexity of decision trees. It generalizes several known results and considers a number of new problems. The book contains exact and approximate algorithms for decision tree optimization, and bounds on minimum average time complexity of decision trees. Methods of combinatorics, probability theory and complexity theory are used in the proofs as well as concepts from various branches of discrete mathematics and computer science. The considered applications include the study of average depth of decision trees for Boolean functions from closed classes, the comparison of results of the performance of greedy heuristics for average depth minimization with optimal decision trees constructed by dynamic programming algorithm, and optimization of decision trees for the corner point recognition problem from computer vision. The book can be interesting for researchers working on time complexity of algorithms and specialists in test theory, rough set theory, logical analysis of data and machine learning.

Intelligent Systems: Approximation by Artificial Neural Networks

George A. Anastassiou
Intelligent Systems Approximation by Artificial Neural Networks Book PDF

Author : George A. Anastassiou
Publisher : Springer Science & Business Media
Page : 113 pages
File Size : 45,9 Mb
Release : 2011-06-02
Category : Technology & Engineering
ISBN : 9783642214318

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Intelligent Systems: Approximation by Artificial Neural Networks by George A. Anastassiou Pdf

This brief monograph is the first one to deal exclusively with the quantitative approximation by artificial neural networks to the identity-unit operator. Here we study with rates the approximation properties of the "right" sigmoidal and hyperbolic tangent artificial neural network positive linear operators. In particular we study the degree of approximation of these operators to the unit operator in the univariate and multivariate cases over bounded or unbounded domains. This is given via inequalities and with the use of modulus of continuity of the involved function or its higher order derivative. We examine the real and complex cases. For the convenience of the reader, the chapters of this book are written in a self-contained style. This treatise relies on author's last two years of related research work. Advanced courses and seminars can be taught out of this brief book. All necessary background and motivations are given per chapter. A related list of references is given also per chapter. The exposed results are expected to find applications in many areas of computer science and applied mathematics, such as neural networks, intelligent systems, complexity theory, learning theory, vision and approximation theory, etc. As such this monograph is suitable for researchers, graduate students, and seminars of the above subjects, also for all science libraries.

Approximate Reasoning by Parts

Lech Polkowski
Approximate Reasoning by Parts Book PDF

Author : Lech Polkowski
Publisher : Springer Science & Business Media
Page : 356 pages
File Size : 51,7 Mb
Release : 2011-08-27
Category : Technology & Engineering
ISBN : 9783642222795

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Approximate Reasoning by Parts by Lech Polkowski Pdf

The monograph offers a view on Rough Mereology, a tool for reasoning under uncertainty, which goes back to Mereology, formulated in terms of parts by Lesniewski, and borrows from Fuzzy Set Theory and Rough Set Theory ideas of the containment to a degree. The result is a theory based on the notion of a part to a degree. One can invoke here a formula Rough: Rough Mereology : Mereology = Fuzzy Set Theory : Set Theory. As with Mereology, Rough Mereology finds important applications in problems of Spatial Reasoning, illustrated in this monograph with examples from Behavioral Robotics. Due to its involvement with concepts, Rough Mereology offers new approaches to Granular Computing, Classifier and Decision Synthesis, Logics for Information Systems, and are--formulation of well--known ideas of Neural Networks and Many Agent Systems. All these approaches are discussed in this monograph. To make the exposition self--contained, underlying notions of Set Theory, Topology, and Deductive and Reductive Reasoning with emphasis on Rough and Fuzzy Set Theories along with a thorough exposition of Mereology both in Lesniewski and Whitehead--Leonard--Goodman--Clarke versions are discussed at length. It is hoped that the monograph offers researchers in various areas of Artificial Intelligence a new tool to deal with analysis of relations among concepts.