Canadian Semantic Web - Technologies and Applications
The emergence of Web technologies for data and knowledge interaction gives rise to the need for supportive frameworks for knowledge distribution. Semantic Web technologies aim at providing shared semantic spacesfor Web contents, such that people, applications and communities can use a common platform to share information. Also, many of the challenging aspects of the research problems tackled in the Semantic Web area fall in the realm of artificial intelligence or employment of AI techniques.
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The Semantic Web -- ISWC 2011, Part II
This volume also contains 15 doctoral consortium papers, selected from 31 submissions. The topics covered are: ontologies and semantics; database, IR, and AI technologies for the semantic Web; management of semantic Web data; reasoning over semantic Web data; search, query, integration, and analysis on the semantic Web; robust and scalable knowledge management and reasoning on the Web; interacting with semantic Web data; ontology modularity, mapping, merging and alignment; languages, tools, and methodologies for representing and managing semantic Web data; ontology, methodology, evaluation, reuse, extraction and evolution; evaluation of semantic Web technologies or data; specific ontologies and ontology pattern for the semantic Web; new formalisms for semantic Web; user interfaces to the semantic Web; cleaning, assurance, and provenance of semantic Web data; services, and processes; social semantic Web, evaluation of semantic Web technology; semantic Web population from the human Web.
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The Semantic Web - ISWC 2011, Part I
This volume also contains 15 doctoral consortium papers, selected from 31 submissions. The topics covered are: ontologies and semantics; database, IR, and AI technologies for the semantic Web; management of semantic Web data; reasoning over semantic Web data; search, query, integration, and analysis on the semantic Web; robust and scalable knowledge management and reasoning on the Web; interacting with semantic Web data; ontology modularity, mapping, merging and alignment; languages, tools, and methodologies for representing and managing semantic Web data; ontology, methodology, evaluation, reuse, extraction and evolution; evaluation of semantic Web technologies or data; specific ontologies and ontology pattern for the semantic Web; new formalisms for semantic Web; user interfaces to the semantic Web; cleaning, assurance, and provenance of semantic Web data; services, and processes; social semantic Web, evaluation of semantic Web technology; semantic Web population from the human Web.
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Applied Semantic Web Technologies
The book starts with an introduction to the fundamentals
Handbook of Semantic Web Technologies
Description:
After years of mostly theoretical research, Semantic Web Technologies are now reaching out into application areas like bioinformatics, eCommerce, eGovernment, or Social Webs. Applications like genomic ontologies, semantic web services, automated catalogue alignment, ontology matching, or blogs and social networks are constantly increasing, often driven or at least backed up by companies like Google, Amazon, YouTube, Facebook, LinkedIn and others. The need to leverage the potential of combining information in a meaningful way in order to be able to benefit from the Web will create further demand for and interest in Semantic Web research. This movement, based on the growing maturity of related research results, necessitates a reliable reference source from which beginners to the field can draw a first basic knowledge of the main underlying technologies as well as state-of-the-art application areas. This handbook, put together by three leading authorities in the field, and supported by an advisory board of highly reputed researchers, fulfils exactly this need. It is the first dedicated reference work in this field, collecting contributions about both the technical foundations of the Semantic Web as well as their main usage in other scientific fields like life sciences, engineering, business, or education.
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Reasoning Web. Semantic Technologies
The Semantic Web aims at enriching the existing Web with meta-data and processing methods so as to provide web-based systems with advanced capabilities, in particular with context awareness and decision support. The objective of this book is to provide a coherent introduction to semantic web methods and research issues with a particular emphasis on reasoning. This year
Implementing Semantic Web Services: The SESA Framework
Here, Dieter Fensel and his team lay the foundation for understanding the Semantic Web Services infrastructure, aimed at eliminating human intervention and thus allowing for seamless integration of information systems. They focus on the currently most advanced SWS infrastructure, namely SESA and related work such as the Web Services Execution Environment (WSMX) activities and the Semantic Execution Environment (OASIS SEE TC) standardization effort. Their book is divided into four parts: Part I provides an introduction to the field and its history, covering basic Web technologies and the state of research and standardization in the Semantic Web field. Part II presents the SESA architecture. The authors detail its building blocks and show how they are consolidated into a coherent software architecture that can be used as a blueprint for implementation. Part III gives more insight into middleware services, describing the necessary conceptual functionality that is imposed on the architecture through the basic principles. Each such functionality is realized using a number of so-called middleware services. Finally, Part IV shows how the SESA architecture can be applied to real-world scenarios, and provides an overview of compatible and related systems. The book targets professionals as well as academic and industrial researchers working on various aspects of semantic integration of distributed information systems. They will learn how to apply the Semantic Web Services infrastructure to automate and semi-automate tasks, by using existing integration technologies. In addition, the book is also suitable for advanced graduate students enrolled in courses covering knowledge management, the Semantic Web, or integration of information systems, as it will educate them about basic technologies for Semantic Web Services and general issues related to integration of information systems. In this book, Dieter Fensel and his qualified team lay the foundation for understanding the Semantic Web Services infrastructure, aimed at eliminating human intervention and thus allowing for seamless integration of information systems. They focus on the currently most advanced SWS infrastructure, namely SESA and related work such as the Web Services Execution Environment (WSMX) activities and the Semantic Execution Environment (OASIS SEE TC) standardization effort.
Dean Allemang, "Semantic Web for the Working Ontologist, Second Edition: Effective Modeling in RDFS and OWL"
Semantic Web models and technologies provide information in machine-readable languages that enable computers to access the Web more intelligently and perform tasks automatically without the direction of users. These technologies are relatively recent and advancing rapidly, creating a set of unique challenges for those developing applications.
Semantic Web for the Working Ontologist is the essential, comprehensive resource on semantic modeling, for practitioners in health care, artificial intelligence, finance, engineering, military intelligence, enterprise architecture, and more. Focused on developing useful and reusable models, this market-leading book explains how to build semantic content (ontologies) and how to build applications that access that content.
New in this edition:
Coverage of the latest Semantic Web tools for organizing, querying, and processing information - see details in TOC below
Detailed information on the latest ontologies used in key web applications including ecommerce, social networking, data mining, using government data, and more
Updated with the latest developments and advances in Semantic Web technologies for organizing, querying, and processing information, including SPARQL, RDF and RDFS, OWL 2.0, and SKOS
Detailed information on the ontologies used in today's key web applications, including ecommerce, social networking, data mining, using government data, and more
Even more illustrative examples and case studies that demonstrate what semantic technologies are and how they work together to solve real-world problems
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Implementing Semantic Web Services - The SESA Framework
Here, Dieter Fensel and his team lay the foundation for understanding the Semantic Web Services infrastructure, aimed at eliminating human intervention and thus allowing for seamless integration of information systems. They focus on the currently most advanced SWS infrastructure, namely SESA and related work such as the Web Services Execution Environment (WSMX) activities and the Semantic Execution Environment (OASIS SEE TC) standardization effort. Their book is divided into four parts: Part I provides an introduction to the field and its history, covering basic Web technologies and the state of research and standardization in the Semantic Web field. Part II presents the SESA architecture.
The authors detail its building blocks and show how they are consolidated into a coherent software architecture that can be used as a blueprint for implementation. Part III gives more insight into middleware services, describing the necessary conceptual functionality that is imposed on the architecture through the basic principles. Each such functionality is realized using a number of so-called middleware services. Finally, Part IV shows how the SESA architecture can be applied to real-world scenarios, and provides an overview of compatible and related systems.
The book targets professionals as well as academic and industrial researchers working on various aspects of semantic integration of distributed information systems. They will learn how to apply the Semantic Web Services infrastructure to automate and semi-automate tasks, by using existing integration technologies. In addition, the book is also suitable for advanced graduate students enrolled in courses covering knowledge management, the Semantic Web, or integration of information systems, as it will educate them about basic technologies for Semantic Web Services and general issues related to integration of information systems.
In this book, Dieter Fensel and his qualified team lay the foundation for understanding the Semantic Web Services infrastructure, aimed at eliminating human intervention and thus allowing for seamless integration of information systems. They focus on the currently most advanced SWS infrastructure, namely SESA and related work such as the Web Services Execution Environment (WSMX) activities and the Semantic Execution Environment (OASIS SEE TC) standardization effort.
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Dictionary of XML Technologies and the Semantic Web
Semantic Technologies in Content Management Systems - Trends, Applications and Evaluations
Visual Knowledge Modeling for Semantic Web Technologies - Models and Ontologies
Visual Knowledge Modeling for Semantic Web Technologies: Models and Ontologies aims to make visual knowledge modeling available to individuals as an intellectual method and a set of tools at different levels of formalization. It aims to provide to its readers a simple, yet powerful visual language to structure their thoughts, analyze information, transform it to personal knowledge, and communicate information to support knowledge acquisition in collaborative activities.
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Visual Knowledge Modeling for Semantic Web Technologies: Models and Ontologies
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Methodological Advancements in Intelligent Information Technologies - Evolutionary Trends
Methodological Advancements in Intelligent Information Technologies: Evolutionary Trends brings together research from international authors detailing developments in intelligent information technologies and their impact on organizational environments. This esteemed reference publication covers topics on agent-based approaches to process management, semantic Web services, data mining techniques, engineering software technologies, and scalable and adaptive Web search engines, in order to provide current research for practitioners, educators, and students interested in the implementation of innovative technologies in a variety of work environments.
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Semantics - Advances in Theories and Mathematical Models
Authors across the World have contributed to debate on state-of-the-art systems, theories, mathematical models in the domain of Semantics. Subsequently, new theories, mathematical models, and systems have been proposed, developed, and evaluated.
This volume has been divided into four sections and ten chapters. The sections include: 1) Background, 2) Queries, Predicates, and Semantic Cache, 3) Algorithms and Logic Programming, and 4) Semantic Web and Interfaces.
Contents
Section 1 Background
1 Let Us First Agree on what the Term "Semantics" Means: An Unorthodox Approach to an Age-Old Debate
2 Probabilistic Belief Logics for Uncertain Agents
Section 2 Queries, Predicates, and Semantic Cache
3 Queries and Predicate - Argument Relationship
4 Semantic Cache Reasoners
Section 3 Algorithms and Logic Programming
5 A Common Mathematical Framework for Asymptotic Complexity Analysis and Denotational Semantics for Recursive Programs Based on Complexity Spaces
6 A Semantic Framework for the Declarative Debugging of Wrong and Missing Answers in Declarative Constraint Programming
Section 4 Semantic Web and Interfaces
7 Spatialization of the Semantic Web
8 Representation System for Quality Indicators by Ontology
9 From Unstructured 3D Point Clouds to Structured Knowledge - A Semantics Approach
10 C3W semantic Temporal Entanglement Modelling for Human - Machine Interfaces
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Semantic Web Programming
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Reasoning Web. Semantic Technologies for Software Engineering
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Semantic Structures
Jackendoff summarizes the relevant arguments in his two previous books, setting out the basic parameters for the formalization of meaning, and comparing his mentalistic approach with Fodor's Language of Thought hypothesis. He then takes up the Problem of Meaning, extending the range of semantic fields encompassed by the Conceptual Semantics formalism, and the Problem of Correspondence, formalizing the relation between semantic and syntactic structure. Both of these problems must be fully addressed in order to develop a general theory of language that is concerned with syntax and semantics and their points of connection.Few books on lexical semantics present such a comprehensive analysis of such a wide range of phenomena from a unified perspective. Besides discussing the conceptual structures of hundreds of words and constructions, Jackendoff extends and deepens the theory to come to grips with such crucial issues as 0-roles and 0-marking; arguments, modifiers, and adjuncts; binding and control; and the thematic linking hierarchy.Ray Jackendoff is Chairman of the Program in Linguistics and Cognitive Science at Brandeis University.
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Related Posts Applied Semantic Web Technologies:
- Reasoning Web. Semantic Technologies
- Dictionary of XML Technologies and the Semantic Web
- Handbook of Semantic Web Technologies
- Canadian Semantic Web Technologies and Applications
- Reasoning Web. Semantic Technologies for Software Engineering
- Visual Knowledge Modeling for Semantic Web Technologies Models and Ontologies
- Visual Knowledge Modeling for Semantic Web Technologies Models and Ontologies
- Semantic Technologies in Content Management Systems Trends Applications and Evaluations
- Introduction to Applied Nonlinear Dynamical Systems and Chaos Texts in Applied Mathematics by Stephen Wiggins
- Telemedicine Technologies Information Technologies in Medicine and Telehealth
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