Showing posts with label ontology. Show all posts
Showing posts with label ontology. Show all posts

Matter and Mind: A Philosophical Inquiry (Boston Studies in the Philosophy of Science) Review

Matter and Mind: A Philosophical Inquiry (Boston Studies in the Philosophy of Science)
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Matter and Mind: A Philosophical Inquiry (Boston Studies in the Philosophy of Science) ReviewMy impression of this book, which I read two or three months ago, was mediocre...- The first third offers a concise introduction in Bunge's materialist ontology, which definitely is worth reading. For a theoretical physicist like myself (despite my taste for mathematical beauty) formalisations should serve a purpose: namely solve empirical (incl. technological) problems! (Popper always emphasised this point: Definitions, conceptual issues, etc. are not interesting, therefore one ought to concentrate on real problems!) A reader may sometimes get the impression, that Bunge's system is "l'art pour l'art"; one wonders, whether the laborious construction of Bunge's conceptual apparatus is worth the trouble (particularly with the fact in mind, that no other author uses Bunge's terminology), i.e. whether it pays off in terms of scientific fecundity.
- The author sometimes treats other philosophers and thinkers very unfairly: What he critises often is but a caricature or at least a rather distorted, mutilated version of what his "opponents" really wrote. For example his harsh rejection of sociobiology and evolutionary psychology: Admittedly, many more popular books on these subjects indeed are highly speculative just-so-stories and scientifically doubtful (e.g. when the description of some drakes to lurk behind bushes and and leap out in order to sexually assault passing ducks is offered as an explanation of mens' equally sinister dispositions...), but that is certainly not representative (cf. for example, E. Voland: "Soziobiologie" or D. Buss's latest edition of his "Evolutionary Psychology")!
- His habit of insulting almost everybody that has a name in intellectual history I found rather childish and misplaced. His harsh judgements are hardly ever given any substantial arguments for. (E.g. defaming the currently dominant paradigm of biology, the gene-centred view of evolution, as a "pseudoscientific popular myth" in my eyes requires an adequately intensive or extensive argumentation.)
- Bunge's views on quantum theory (and more modern developments in physics) are outright for the most part dated or even wrong. (E.g. the Bell inequalities do not rule out theories with hidden parameters, only local ones.) Where foundational issues of physics (or biology) are concerned, look up the more recent (and deeper) literature: Roger Penrose, Jeffrey Bub, Lawrence Sklar, Hans-Dieter Zeh, Roland Omnès, etc.
- The book is pretty repetitive: Bunge's main thesis that we must not ontologically separate a function from its medium (e.g. the mind (="mental life") as a function of the brain from the brain itself) is repeated over and over and integrated into Bunge's own systemic approach, which is a middleground between a "nothing but..."-reductionism (like physicalism that does not take into account the complexity of the world and its structure, thus risking scientific sterility) and holism (which is either semantically obscure or empirically not true). That part is ok, but not too profound... The conceptual framework of Bunge's materialism is indeed exceedingly helpful to tackle some pressing problems of philosophy of science (which includes for me "philosophy of mind"). However, the main task is still to be done: elaborating a theory of consciousness. Here, the excellent analyses of contemporary thinkers like Daniel Dennett, Sean Searle, Thomas Metzinger or Susan Blackmore are rather to be considered more in detail.
-The analysis of the two mainstream approaches to the 'free will' debate, compatibilism and incompatibilism, is pretty weak. You'd better read the respective entries in the Stanford Encyclopedia (or, of course, the loci classici themselves like Hume's "Enquiry concerning Human Understand" or Schopenhauer's essay "On the Freedom of the Will" ) instead.Matter and Mind: A Philosophical Inquiry (Boston Studies in the Philosophy of Science) OverviewThis book discusses two of the oldest and hardest problems in both science and philosophy: What is matter?, and What is mind? A reason for tackling both problems in a single book is that two of the most influential views in modern philosophy are that the universe is mental (idealism), and that the everything real is material (materialism). Most of the thinkers who espouse a materialist view of mind have obsolete ideas about matter, whereas those who claim that science supports idealism have not explained how the universe could have existed before humans emerged. Besides, both groups tend to ignore the other levels of existence-chemical, biological, social, and technological.If such levels and the concomitant emergence processes are ignored, the physicalism/spiritualism dilemma remains unsolved, whereas if they are included, the alleged mysteries are shown to be problems that science is treating successfully.

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Ontological Engineering: with examples from the areas of Knowledge Management, e-Commerce and the Semantic Web. First Edition (Advanced Information and Knowledge Processing) Review

Ontological Engineering: with examples from the areas of Knowledge Management, e-Commerce and the Semantic Web. First Edition (Advanced Information and Knowledge Processing)
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Ontological Engineering: with examples from the areas of Knowledge Management, e-Commerce and the Semantic Web. First Edition (Advanced Information and Knowledge Processing) ReviewThe word `ontology' is usually associated with philosophical speculation on the reality of things, and if one checks the literature on philosophy one will find a diverse number of opinions on this reality. Engineers and scientists typically view philosophical musings on any topic as being impractical, and indulging oneself in these musings will cause one to lose sight of the topic or problem at hand. Rather than simplify the problem and make it understandable, philosophy tends in most cases to complicate it by endless debate on definitions and the use of sophisticated rhetoric that seems to have no bearing on the problem at hand. The conceptual spaces generated by these debates can become gigantic and therefore unwieldy, thus making the problem appear more complex than it actually is.
In the information age however, ontology has become a word that has taken on enormous practical significance. Business and scientific research are both areas that have increasingly relied on information technology not only to organize information but also to analyze data and make accurate predictions. In addition, financial constraints have forced many businesses to automate most of their internal processes, and this automation has brought about its own unique challenges. This push to automation usually involves being able to differentiate one thing from another, or one collection of data from another, or one concept from another. Thus one needs to think about questions of ontology, and this (very practical) need has brought about the rise of the field of `ontological engineering', which is the topic of this book.
The authors have given a good general overview of the different approaches to the creation of ontologies. There are many of them, some of which seem "natural", while others seem more esoteric. The reader though will obtain an objective discussion of the ontologies that the authors chose to include in the book. Discussions of the ones that are not included can readily be found on the Internet.
Given the plethora of ontologies that have been invented, it would be of interest to the ontological engineer to find common ground between them. The re-use of a particular ontology may be stymied by the different ontological commitments it is adhering to or it's actual content. In order to use it, it must therefore be "re-engineered". The authors discuss this prospect in the book, and define `ontological re-engineering' as the process where a conceptual model of an implemented ontology is transformed into one that is more suitable. The code in which the ontology is written is first reverse engineered, and then the conceptual model is reorganized into the new one. The new conceptual model is then implemented.
Also discussed in the book, and of enormous practical interest, is the automation of the ontology building process. Called `ontology learning' by the authors, they discuss a few of the ways in which this could take place. One of these methods concerns ontology learning using a `corpus of texts', and involves being able to distinguish between the `linguistic' and `conceptual' levels. Knowledge at the linguistic level is described in linguistic terms, while at the conceptual level in terms of concepts and the relations between them. Ontology learning is thus dependent on how the linguistic structures are exemplified in the conceptual level. Relations at the conceptual level for example could be extracted from sequences of words in the text that conform to a certain pattern. Another method comes from data mining and involves the use of association rules to find relations between concepts. The authors discuss two well-known methods for ontology learning from texts. Both of these methods are interesting in that they can apparently learn in contexts or environments that are not domain-specific. Being able to learn over different domains is very important from the standpoint of the artificial intelligence community and these methods are a step in that direction. The processes of `alignment', `merging', and `cooperative construction' of ontologies that are discussed in the book are also of great interest in artificial intelligence, since they too will be of assistance in the attempt to design a machine that can reason over multiple domains.
The ontologies that are actually built are of course not unique. This results in a kind of semantic or cognitive relativism between the environments that might be built on different ontologies, even in the same domain. Merging and alignment both address this relativism, along with other techniques that are discussed in the book. The selection of the actual language that is used to create an ontology is also somewhat arbitrary. The authors devote a fair amount of space in the book to the different languages that have been used to build ontologies. Through an elementary example, they discuss eleven different languages, namely KIF, Ontolingua, LOOM, OCML, Flogic, SHOE, XOL, RDF(S), OIL, DAML+OIL, and OWL. The choice of a language is dictated by what one is seeking in terms of `expressiveness' and what kind of reasoning patterns are to be deployed when using the ontology. The authors point to a tradeoff between the expressive power of the language and the reasoning patterns that are attached to the language. The expressiveness of a language is directly proportional to the complexity of the reasoning patterns that are used.
Ontological engineering as it presently exists is still carried out by a human engineer. To create an ontology every time from scratch would be tedious, and so it is no surprise that tools were invented to make ontology creation more straightforward. Some of these tools are discussed in the book, such as KAON, OilEd, Ontolingua, OntoSaurus, Protege-2000, WebODE, and WebOnto, along with assessments as to their utility. The discussion is helpful for newcomers to ontological engineering who need guidance as to what direction to take. The automation of ontology building would of course be a major advance. To accomplish this however would require that the machine be able to simultaneously and recursively construct the knowledge base and reason over it effectively. This is a formidable challenge indeed.Ontological Engineering: with examples from the areas of Knowledge Management, e-Commerce and the Semantic Web. First Edition (Advanced Information and Knowledge Processing) OverviewOntologies provide a common vocabulary of an area and define, with different levels of formality, the meaning of the terms and the relationships between them. Ontological engineering refers to the set of activities concerning the ontology development process, the ontology life cycle, the methods and methodologies for building ontologies, and the tool suites and languages that support them. During the last decade, increasing attention has been focused on ontologies. Ontologies are now widely used in knowledge engineering, artificial intelligence and computer science; in applications related to areas such as knowledge management, natural language processing, e-commerce, intelligent information integration, bio-informatics, education; and in new emerging fields like the semantic web. The book presents the major issues of ontological engineering and describes the most outstanding ontologies currently available. It covers the practical aspects of selecting and applying methodologies, languages, and tools for building ontologies. "Ontological Engineering" will be of great value to students and researchers, and to developers who want to integrate ontologies in their information systems.

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A Developer's Guide to the Semantic Web Review

A Developer's Guide to the Semantic Web
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A Developer's Guide to the Semantic Web ReviewNot only does A Developer's Guide to Semantic Web offer an excellent introduction to "what is" Semantic Web, but it also guides the readers onto the "how to" stage with assiduously, almost mind-numbingly easy to understand, step by step coding examples. Needless to say, the author has an amazing grasp of the Semantic web technology himself. Unlike some quite complicated and mind-boggling books on Semantic Web, A Developer's Guide to Semantic Web is easy to comprehend, therefore an outstanding tool. Concepts such as RDF, OWL, SPARQL, and well-known applications such as FOAF, Wiki, DBpedi and LOD are brilliantly illustrated with ample coding examples. The last section of the book weaves all of them together with raw examples of running applications, which are readily available for use. This is a must-read for students, researchers, software engineers and developers who are interested in the Semantic Web technology. Highly recommended.A Developer's Guide to the Semantic Web OverviewCovering the theory, technical components and applications of the Semantic Web, this book's unrivalled coverage includes the latest on W3C standards such as OWL 2, and discusses new projects such as DBpedia. It also shows how to put theory into practice.

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A Semantic Web Primer (Cooperative Information Systems) Review

A Semantic Web Primer (Cooperative Information Systems)
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A Semantic Web Primer (Cooperative Information Systems) ReviewReaders will need a basic understanding of formal logic in order to get the most from this book. Also realize that some material, such as the discussion and presentation of monotonic and non-monotonic rules are still hotly contested in the semantic web community.
This book starts out with an excellent introduction in Chapter 1, titled "The Semantic Web Vision". It next begins building towards the basic elements of a semantic web by starting in familiar territory - structured web documents in XML. Many readers will be intimately familiar with this material, but I recommend reading it because the authors lay a solid foundation for subsequent chapters here.
The components and concepts of the topic are then covered in chapters devoted to:
- Describing Web Resources in RDF, which includes basic ideas, XML-based syntax, schema, and querying.
- Web Ontology Language (OWL), which introduces the OWL language, examples and future extensions. Appendix A contains Abstract OWL syntax, which augments this chapter.
- Logic and Inference, covers monotonic and non-monotonic rules, syntax, rule mark-up in XML and examples. This chapter will require an understanding of formal logic, and I also recommend additional research on the web regarding the debate about using non-monotonic rules, which has highly vocal proponents and detractors.
- Applications, a chapter of case studies from real companies, including Audi, and material on how semantic web concepts can be applied to E-learning, web services and other scenarios.
- Ontology Engineering (ontology is synonymous with taxonomy) using manual and semi-automatic methods. There is also an excellent discussion about reuse.
The web site that supports this book is rich in content that will not only augment the book, but greatly expand it. Each chapter has an associated page on the site containing PowerPoint presentations, PDF documents, and other material. The site also has a section for errata, problems and quizs if you are basing a course on this book, and additional links to resources related to the material in the book.A Semantic Web Primer (Cooperative Information Systems) OverviewThe development of the Semantic Web, with machine-readable content, has the potential to revolutionize the World Wide Web and its use. A Semantic Web Primer provides an introduction and guide to this emerging field, describing its key ideas, languages, and technologies. Suitable for use as a textbook or for self-study by professionals, it concentrates on undergraduate-level fundamental concepts and techniques that will enable readers to proceed with building applications on their own. It includes exercises, project descriptions, and annotated references to relevant online materials. A Semantic Web Primer is the only available book on the Semantic Web to include a systematic treatment of the different languages (XML, RDF, OWL, and rules) and technologies (explicit metadata, ontologies, and logic and inference) that are central to Semantic Web development. The book also examines such crucial related topics as ontology engineering and application scenarios.After an introductory chapter, topics covered in succeeding chapters include XML and related technologies that support semantic interoperability; RDF and RDF Schema, the standard data model for machine-processable semantics; and OWL, the W3C-approved standard for a Web ontology language more extensive than RDF Schema; rules, both monotonic and nonmonotonic, in the framework of the Semantic Web; selected application domains and how the Semantic Web would benefit them; the development of ontology-based systems; and current debates on key issues and predictions for the future.

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Cognitive Radio Technology, Second Edition Review

Cognitive Radio Technology, Second Edition
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Cognitive Radio Technology, Second Edition ReviewTwo years ago I received my copy of Fette's First Edition, and wrote a review indicating that it would be a useful reference for participants in the maturing Software Defined Radio and emerging Cognitive Radio technology. As I pick up my copy of the original book, a massive number of bookmarks and plethora of underlining attest to the accuracy of that prediction. As a regular participant in the Software Defined Radio Forum's work in this area, I habitually reach for this book to understand the context of our ongoing technical work.
The Second Edition adds eight new chapters to the previous sixteen; it constrains the size of the book to an additional 206 pages by using a smaller typeface (which actually improves readability). Page composition is also improved with an appealing layout and very helpful headers: the Chapter name on the left, and section name on the facing pages.
This book is not a bedtime read; rather it is encyclopedic in its approach. Individual articles are derived from the work context of authors, who are authoritative in their own areas. Reading technical journals is made difficult (as observed by Thomas Kuhn) by the convention that the reader is fully knowledgeable about the topic under discussion. This volume takes material that would be (or already has been) published, and provides a context for it. Fette has retained his "book-end" approach, with the first and last (moved from 16th to 24th) chapters in which he explains the relevance of the material in each chapter. Then each article has introductory and conclusionary material often not included in published papers.
The new chapters address topics such as Cognitive antennas, Spectrum Sensing, Rendezvous, and Networking. They significantly increase the book's utility. In looking over the discussion of Policy-Driven CR Architecture, for example, I found myself drawn to the website of the Maude language; an excursion that provides an example of how the articles can be used as an introduction to a topic, with updates and expansions obtained by using references and browsing websites.
The classical means of making a scientific discipline clear and consistent (again according to Kuhn) is through textbooks. But the contemporary velocity of technological advancement renders that approach impractical, so this book provides timely information by not waiting for issue resolution.
There is something here for virtually everyone working in the area, from high-level overviews to mind-consuming mathematical depth. Many of our legacy information institutions are rocking from advances in (or misuse of?) Cognitive functionality (e.g. banks); this book provides valuable insight into the specific technologies that will arm us to cope with the impending information tsunami.Cognitive Radio Technology, Second Edition Overview
This book gives a thorough knowledge of cognitive radio concepts, principles, standards, spectrum policy issues and product implementation details. In addition to 16 chapters covering all the basics of cognitive radio, this new edition has eight brand-new chapters covering cognitive radio in multiple antenna systems, policy language and policy engine, spectrum sensing, rendezvous techniques, spectrum consumption models, protocols for adaptation, cognitive networking, and information on the latest standards, making it an indispensable resource for the RF and wireless engineer.

Foreword and a chapter contribution by Joe Mitola, the creator of the field
Discussion of cognitive aids to the user, spectrum owner, and network operator
Explanation of capabilities such as time - position awareness, speech and language awareness, multi-objective radio and network optimization, and supporting database infrastructure
Detailed information on product implementation to aid product developers
Thorough descriptions of each cognitive radio component technology provided by leaders of their respective fields, and the latest in high performance analysis - implementation techniques
Explanations of the complex architecture and terminology of the current standards activities
Discussions of market opportunities created by cognitive radio technology

The new edition of this cutting edge reference, which gives a thorough knowledge of principles, implementation details, standards, policy issues in one volume, enables the RF and wireless engineer to master and apply today's cognitive radio technologies.

Bruce Fette, PhD, is Chief Scientist in the Communications Networking Division of General Dynamics C4 Systems in Scottsdale, AZ. Heworked with the Software Defined Radio (SDR) Forum from its inception, currently performing the role of Technical Chair, and is a panelist for the IEEE Conference on Acoustics Speech and Signal Processing Industrial Technology Track. He currently heads the General Dynamics Signal Processing Center of Excellence in the Communication Networks Division. Dr. Fette has 36 patents and has been awarded the "Distinguished Innovator Award".
* Foreword and a chapter contribution by Joe Mitola, the creator of the field* Discussion of cognitive aids to the user, spectrum owner, network operator* Explanation of capabilities such as time - position awareness, speech and language awareness, multi-objective radio and network optimization, and supporting database infrastructure* Detailed information on product implementation to aid product developers* Thorough descriptions of each cognitive radio component technology provided byleaders of their respective fields, and the latest in high performance analysis - implementation techniques * Explanations of the complex architecture and terminology of the current standards activities* Discussions of market opportunities created by cognitive radio technology

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Foundations of Semantic Web Technologies (Chapman & Hall/CRC Textbooks in Computing) Review

Foundations of Semantic Web Technologies (Chapman and Hall/CRC Textbooks in Computing)
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Foundations of Semantic Web Technologies (Chapman & Hall/CRC Textbooks in Computing) ReviewI have some basic familiarity with RDF, and Semantic Technologies. This book from chapter 1 on was a horrible read. Terribly written with long arduous run on sentences which were frustrating to comprehend. The examples were atrocious. The book was written by academics who must like hearing themselves speak. The writing was so bad it reminded me of reading a legal contract. I bought the book since it was rather new, and my other OWL, RDF, and Semantic Web books are a bit dated now. I was looking for some help with modeling best practices. I generally don't return books, but this one is already in the box again. I'd use it as a door stop but the almost $80 price tag prevents me from using it as such.Foundations of Semantic Web Technologies (Chapman & Hall/CRC Textbooks in Computing) OverviewWith more substantial funding from research organizations and industry, numerous large-scale applications, and recently developed technologies, the Semantic Web is quickly emerging as a well-recognized and important area of computer science. While Semantic Web technologies are still rapidly evolving, Foundations of Semantic Web Technologies focuses on the established foundations in this area that have become relatively stable over time. It thoroughly covers basic introductions and intuitions, technical details, and formal foundations.The book concentrates on Semantic Web technologies standardized by the World Wide Web Consortium: RDF and SPARQL enable data exchange and querying, RDFS and OWL provide expressive ontology modeling, and RIF supports rule-based modeling. The text also describes methods for specifying, querying, and reasoning with ontological information. In addition, it explores topics that are clearly beyond foundations, such as tools, applications, and engineering aspects.Written by highly respected researchers with a deep understanding of the material, this text centers on the formal specifications of the subject and supplies many pointers that are useful for employing Semantic Web technologies in practice.The book has an accompanying website with supplemental information.

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The Semantic Web: Semantics for Data and Services on the Web (Data-Centric Systems and Applications) Review

The Semantic Web: Semantics for Data and Services on the Web (Data-Centric Systems and Applications)
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The Semantic Web: Semantics for Data and Services on the Web (Data-Centric Systems and Applications) ReviewThis field is abstruse and, one hopes, rapidly evolving because it hasn't really got very far yet. Vipul gives an excellent and balanced overview.The Semantic Web: Semantics for Data and Services on the Web (Data-Centric Systems and Applications) OverviewThe Semantic Web is a vision - the idea of having data on the Web defined and linked in such a way that it can be used by machines not just for display purposes but for automation, integration and reuse of data across various applications. However, there is a widespread misconception that the Semantic Web is a rehash of existing AI and database work. Kashyap, Bussler, and Moran dispel this notion by presenting the multi-disciplinary technological underpinnings such as machine learning, information retrieval, service-oriented architectures, and grid computing. Thus they combine the informational and computational aspects needed to realize the full potential of the Semantic Web vision.

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Modeling & Simulation-Based Data Engineering: Introducing Pragmatics into Ontologies for Net-Centric Information Exchange Review

Modeling and Simulation-Based Data Engineering: Introducing Pragmatics into Ontologies for Net-Centric Information Exchange
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Modeling & Simulation-Based Data Engineering: Introducing Pragmatics into Ontologies for Net-Centric Information Exchange ReviewIt is often the case that a new area of inquiry, comprised of elements from seemingly disparate disciplines, yields surprising insights. Zeigler's and Hammonds's effort is no exception. While linguistics has from time to time informed mathematics and computer science, to my knowledge little has been done to date towards the application of semantics and pragmatics to this type of data exchange.
The prose is concise, clear, and conversational. Given the complexity of the two topics and the more or less mutual exclusivity of their lexicons, readers whose experience has been acquired only in the one or the other of these two disciplines will nevertheless quickly become comfortable in this discussion. The authors provide many examples to illustrate their line of reasoning, all drawn from a wide variety of sources.
As an IT professional with 15 years' experience and an advanced degree in a foreign language, I found this book satisfying, illuminating, and provocative. While it is intended to address a specific engineering problem, its implications extend well beyond its stated purview. Heartily recommended for those who would like to think about the synergies of data engineering and pragmatics, and also for those who want to think about what might be beyond the horizon.Modeling & Simulation-Based Data Engineering: Introducing Pragmatics into Ontologies for Net-Centric Information Exchange OverviewData Engineering has become a necessary and critical activity for business, engineering, and scientific organizations as the move to service oriented architecture and web services moves into full swing. Notably, the US Department of Defense is mandating that all of its agencies and contractors assume a defining presence on the Net-centric Global Information Grid. This book provides the first practical approach to data engineering and modeling, which supports interoperabililty with consumers of the data in a service- oriented architectures (SOAs). Although XML (eXtensible Modeling Language) is the lingua franca for such interoperability, it is not sufficient on its own. The approach in this book addresses critical objectives such as creating a single representation for multiple applications, designing models capable of supporting dynamic processes, and harmonizing legacy data models for web-based co-existence. The approach is based on the System Entity Structure (SES) which is a well-defined structure, methodology, and practical tool with all of the functionality of UML (Unified Modeling Language) and few of the drawbacks. The SES originated in the formal representation of hierarchical simulation models. So it provides an axiomatic formalism that enables automating the development of XML dtds and schemas, composition and decomposition of large data models, and analysis of commonality among structures.Zeigler and Hammond include a range of features to benefit their readers. Natural language, graphical and XML forms of SES specification are employed to allow mapping of legacy meta-data. Real world examples and case studies provide insight into data engineering and test evaluation in various application domains. Comparative information is provided on concepts of ontologies, modeling and simulation, introductory linguistic background, and support options enable programmers to work with advanced tools in the area. The website of the Arizona Center for Integrative Modeling and Simulation, co-founded by Zeigler in 2001, provides links to downloadable software to accompany the book.* The only practical guide to integrating XML and web services in data engineering* Introduces linguistic levels of interoperability for effective information exchange* Covers the interoperability standards mandated by national and international agencies * Complements Zeigler's classic THEORY OF MODELING AND SIMULATION

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Visualizing the Semantic Web: XML-based Internet and Information Visualization Review

Visualizing the Semantic Web: XML-based Internet and Information Visualization
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Visualizing the Semantic Web: XML-based Internet and Information Visualization ReviewIf you are analysing various XML-encoded data, and am overwhelmed with the sheer mass of it all, you have probably wondered about displaying it. The problem is that there are an infinite number of ways to display data.
This book can only describe a small, finite number of display ideas. But it may well be worth your while to at least quickly thumb through the chapters. Various authors offer different takes on their data sets. The book also has some nice colour plates showing results.
In the book's title, you can ignore Semantic Web if you so choose. The key thing is supposedly that you have XML data. But it turns out that even this is not a necessary restriction. One way to read this book is to look for different data visualisation ideas. If you find one that is promising, you then have to reimplement it for your data structures.Visualizing the Semantic Web: XML-based Internet and Information Visualization OverviewThe Web is undergoing revolutionary changes - its second generation is emerging. The key player in the new generation is not HTML but XML (this is why it is also known as "the XML-based Web"). If the appearance of web pages is a major concern in the first generation, then the meaning (or semantics) of information on the Web is the focus of the second generation, which is why it is also called "the Semantic Web." The new edition of the pioneering monograph on Visualising the Semantic Web has undergone a number of changes in order to reflect recent research results, web standards, developments and trends. In this new edition, 2 chapters have been removed, 4 new chapters have been added and the 10 remaining chapters have been completely revised and updated.

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A Semantic Web Primer (Cooperative Information Systems series) Review

A Semantic Web Primer (Cooperative Information Systems series)
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A Semantic Web Primer (Cooperative Information Systems series) Review
If you've read about the basics of the semantic web online, you won't get much more from this book. There's only 6 pages devoted to SPARQL, and no mention of RDFa. Later chapters (especially "Ontology Engineering") are thin and weak. You learn the dirt basics, but not how to build anything meaningful with it.A Semantic Web Primer (Cooperative Information Systems series) OverviewThe development of the Semantic Web, with machine-readable content, hasthe potential to revolutionize the World Wide Web and its use. A Semantic Web Primerprovides an introduction and guide to this still emerging field, describing its keyideas, languages, and technologies. Suitable for use as a textbook or for self-studyby professionals, it concentrates on undergraduate-level fundamental concepts andtechniques that will enable readers to proceed with building applications on theirown and includes exercises, project descriptions, and annotated references torelevant online materials. A Semantic Web Primer provides a systematic treatment ofthe different languages (XML, RDF, OWL, and rules) and technologies (explicitmetadata, ontologies, and logic and inference) that are central to Semantic Webdevelopment as well as such crucial related topics as ontology engineering andapplication scenarios. This substantially revised and updated second editionreflects recent developments in the field, covering new application areas and tools.The new material includes a discussion of such topics as SPARQL as the RDF querylanguage; OWL DLP and its interesting practical and theoretical properties; the SWRLlanguage (in the chapter on rules); OWL-S (on which the discussion of Web servicesis now based). The new final chapter considers the state of the art of the fieldtoday, captures ongoing discussions, and outlines the most challenging issues facingthe Semantic Web in the future. Supplementary materials, including slides, onlineversions of many of the code fragments in the book, and links to further reading,can be found at http://www.semanticwebprimer.org.Grigoris Antoniou is Professor atthe Institute for Computer Science, FORTH (Foundation for Research andTechnology-Hellas), Heraklion, Greece. Frank van Harmelen is Professor in theDepartment of Artificial Intelligence at the Vrije Universiteit, Amsterdam, theNetherlands.

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Towards the Semantic Web: Ontology-driven Knowledge Management Review

Towards the Semantic Web: Ontology-driven Knowledge Management
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Towards the Semantic Web: Ontology-driven Knowledge Management ReviewThis book often introduces terms with little or no meaning. In the early chapters, it refers to various ontologies assuming the reader knows terms like frames, slots, ...etc. Ex: pg. 18 "Class Defintion (frames) have an (optional) addtional field that specifies whether the class definition is primitive (a subsumption axiom) or a non-primitive (an equivalence axiom)." I was more confused after reading the definition. The book has very few diagrams and does not always realize how important it is for a reader to understand a fundamental concept before they go on to learning new concepts - which are based on solid fundamentals.
In later chapters, the case studies are helpful as one can start relating the myriad of concepts learned in previous chapters.
It is obvious that the authors know their stuff but their teaching style has a lot to be desired.Towards the Semantic Web: Ontology-driven Knowledge Management OverviewWith the current changes driven by the expansion of the World Wide Web, this book uses a different approach from other books on the market: it applies ontologies to electronically available information to improve the quality of knowledge management in large and distributed organizations. Ontologies are formal theories supporting knowledge sharing and reuse. They can be used to explicitly represent semantics of semi-structured information. These enable sophisticated automatic support for acquiring, maintaining and accessing information. Methodology and tools are developed for intelligent access to large volumes of semi-structured and textual information sources in intra- and extra-, and internet-based environments to employ the full power of ontologies in supporting knowledge management from the information client perspective and the information provider.The aim of the book is to support efficient and effective knowledge management and focuses on weakly-structured online information sources. It is aimed primarily at researchers in the area of knowledge management and information retrieval and will also be a useful reference for students in computer science at the postgraduate level and for business managers who are aiming to increase the corporations' information infrastructure.The Semantic Web is a very important initiative affecting the future of the WWW that is currently generating huge interest. The book covers several highly significant contributions to the semantic web research effort, including a new language for defining ontologies, several novel software tools and a coherent methodology for the application of the tools for business advantage. It also provides 3 case studies which give examples of the real benefits to be derived from the adoption of semantic-web based ontologies in "real world" situations. As such, the book is an excellent mixture of theory, tools and applications in an important area of WWW research.* Provides guidelines for introducing knowledge management concepts and tools into enterprises, to help knowledge providers present their knowledge efficiently and effectively.* Introduces an intelligent search tool that supports users in accessing information and a tool environment for maintenance, conversion and acquisition of information sources.* Discusses three large case studies which will help to develop the technology according to the actual needs of large and or virtual organisations and will provide a testbed for evaluating tools and methods.The book is aimed at people with at least a good understanding of existing WWW technology and some level of technical understanding of the underpinning technologies (XML/RDF). It will be of interest to graduate students, academic and industrial researchers in the field, and the many industrial personnel who are tracking WWW technology developments in order to understand the business implications. It could also be used to support undergraduate courses in the area but is not itself an introductory text.

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Model Driven Architecture and Ontology Development Review

Model Driven Architecture and Ontology Development
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Model Driven Architecture and Ontology Development ReviewI am currently reading this excellent book, and I especially like the concept of Modeling Spaces presented in chapter 5. And it is very hard to find books that cover both MDA from OMG as well as W3C's Semantic Web. Much research and development is going on in this field, therefore you might find some parts of this edition somewhat dated.
It is therefore a pleasant surprise to find the second edition of this book published recently by the same authors as "Model Driven Engineering and Ontology Development".
I wholeheartedly recommend this book to anyone with an interest in modeling software and information, but be sure to check out the second edition.Model Driven Architecture and Ontology Development OverviewDefining a formal domain ontology is generally considered a useful, not to say necessary step in almost every software project. This is because software deals with ideas rather than with self-evident physical artefacts. However, this development step is hardly ever done, as ontologies rely on well-defined and semantically powerful AI concepts such as description logics or rule-based systems, and most software engineers are largely unfamiliar with these.Gaševic and his co-authors try to fill this gap by covering the subject of MDA application for ontology development on the Semantic Web. Part I of their book describes existing technologies, tools, and standards like XML, RDF, OWL, MDA, and UML. Part II presents the first detailed description of OMG's new ODM (Ontology Definition Metamodel) initiative, a specification which is expected to be in the form of an OMG language like UML. Finally, Part III is dedicated to applications and practical aspects of developing ontologies using MDA-based languages. The book is supported by a website showing many ontologies, UML and other MDA-based models, and the transformations between them."The book is equally suited to those who merely want to be informed of the relevant technological landscape, to practitioners dealing with concrete problems, and to researchers seeking pointers to potentially fruitful areas of research. The writing is technical yet clear and accessible, illustrated throughout with useful and easily digestible examples." from the Foreword by Bran Selic, IBM Rational Software, Canada."I do not know another book that offers such a high quality insight into UML and ontologies." Steffen Staab, U Koblenz, Germany

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