Information Sharing on the Semantic Web

Information Sharing on the Semantic Web

Author: Heiner Stuckenschmidt

Publisher: Springer Science & Business Media

Published: 2005

Total Pages: 300

ISBN-13: 9783540205944

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The large-scale and almost ubiquitous availability of information has become as much of a curse as it is a blessing. The more information is available, the harder it is to locate any particular piece of it. And even when it has been successfully found, it is even harder still to usefully combine it with other information we may already possess. This problem occurs at many different levels, ranging from the overcrowded disks of our own PCs to the mass of unstructured information on the World Wide Web.It is commonly understood that this problem of information sharing can only be solved by giving computers better access to the semantics of the information. While it has been recognized that ontologies play a crucial role in solving the open problems, most approaches rely on the existence of well-established data structures. To overcome these shortcomings, Stuckenschmidt and van Harmelen describe ontology-based approaches for resolving semantic heterogeneity in weakly structured environments, in particular the World Wide Web. Addressing problems like missing conceptual models, unclear system boundaries, and heterogeneous representations, they design a framework for ontology-based information sharing in weakly structured environments like the Semantic Web.For researchers and students in areas related to the Semantic Web, the authors provide not only a comprehensive overview of the State of the art, but also present in detail recent research in areas like ontology design for information integration, metadata generation and management, and representation and management of distributed ontologies. For professionals in areas such as e-commerce (e.g., the exchange of product knowledge) and knowledge management (e.g., in large and distributed organizations), the book provides decision support on the use of novel technologies, information about potential problems, and guidelines for the successful application of existing technologies.


Semantic Cognition

Semantic Cognition

Author: Timothy T. Rogers

Publisher: MIT Press

Published: 2004

Total Pages: 446

ISBN-13: 9780262182393

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A mechanistic theory of the representation and use of semantic knowledge that uses distributed connectionist networks as a starting point for a psychological theory of semantic cognition.


Spoken Language Understanding

Spoken Language Understanding

Author: Gokhan Tur

Publisher: John Wiley & Sons

Published: 2011-05-03

Total Pages: 443

ISBN-13: 1119993946

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Spoken language understanding (SLU) is an emerging field in between speech and language processing, investigating human/ machine and human/ human communication by leveraging technologies from signal processing, pattern recognition, machine learning and artificial intelligence. SLU systems are designed to extract the meaning from speech utterances and its applications are vast, from voice search in mobile devices to meeting summarization, attracting interest from both commercial and academic sectors. Both human/machine and human/human communications can benefit from the application of SLU, using differing tasks and approaches to better understand and utilize such communications. This book covers the state-of-the-art approaches for the most popular SLU tasks with chapters written by well-known researchers in the respective fields. Key features include: Presents a fully integrated view of the two distinct disciplines of speech processing and language processing for SLU tasks. Defines what is possible today for SLU as an enabling technology for enterprise (e.g., customer care centers or company meetings), and consumer (e.g., entertainment, mobile, car, robot, or smart environments) applications and outlines the key research areas. Provides a unique source of distilled information on methods for computer modeling of semantic information in human/machine and human/human conversations. This book can be successfully used for graduate courses in electronics engineering, computer science or computational linguistics. Moreover, technologists interested in processing spoken communications will find it a useful source of collated information of the topic drawn from the two distinct disciplines of speech processing and language processing under the new area of SLU.


Semantic Processing and Word Finding Difficulty Across the Lifespan

Semantic Processing and Word Finding Difficulty Across the Lifespan

Author: Pei-Fang Hung

Publisher: Plural Publishing

Published: 2021-11-30

Total Pages: 473

ISBN-13: 1635502195

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For readers looking to understand lexical access and word-finding difficulty (WFD), Semantic Processing and Word Finding Difficulty Across the Lifespan: A Practical Guide for Speech-Language Pathologists provides a comprehensive review of current research and clinical approaches to establish a holistic, interdisciplinary understanding of lexical access and retrieval difficulty across different communication disorders. By including practical guidelines and protocols, this professional text can help speech-language pathologists (SLPs) and other related professionals bridge the gap between research and clinical practice. This text covers a wide range of communication disorders, including developmental language disorder, autism spectrum disorder, aphasia, normal aging, and dementia. It illustrates the connections between the research evidence and clinical practice and addresses lexical learning and retrieval difficulty through a holistic lens and cognitive-linguistic frameworks. This text integrates research evidence from a variety of disciplines, including speech-language pathology, linguistics, neuroscience, and psychology. The authors take readers for a deep dive into different underlying problems that lead to lexical access and retrieval difficulty and strategies to remediate them effectively. By addressing lexical issues from a broader view, this unique resource helps readers see the connections from different perspectives to further understand the complex issues involved in lexical learning and retrieval. Key Features: * A discussion of lexical learning and expansion from birth to school-age by incorporating metalinguistic skills and considering the relationships between language domains. * An exploration of contributing factors to lexical learning and word retrieval. * A holistic review of standardized and nonstandard measures for the breadth and depth of lexical access and retrieval across the lifespan and for people with diverse cultural and linguistic backgrounds. * A comprehensive review of current available evidence-based and semantic-focused interventions for both developmental and neurogenic communication disorders. * Chapter summaries and discussion questions close each chapter. * Clinical implication sections help connect research to clinical practice. * Therapy plan examples for commonly implemented lexical intervention approaches. Disclaimer: Please note that ancillary content (such as documents, audio, and video, etc.) may not be included as published in the original print version of this book.


A Semantic Web Primer, third edition

A Semantic Web Primer, third edition

Author: Grigoris Antoniou

Publisher: MIT Press

Published: 2012-08-24

Total Pages: 287

ISBN-13: 0262018284

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A new edition of the widely used guide to the key ideas, languages, and technologies of the Semantic Web The development of the Semantic Web, with machine-readable content, has the potential to revolutionize the World Wide Web and its uses. A Semantic Web Primer provides an introduction and guide to this continuously evolving field, describing its key ideas, languages, and technologies. Suitable for use as a textbook or for independent study by professionals, it concentrates on undergraduate-level fundamental concepts and techniques that will enable readers to proceed with building applications on their own and includes exercises, project descriptions, and annotated references to relevant online materials. The third edition of this widely used text has been thoroughly updated, with significant new material that reflects a rapidly developing field. Treatment of the different languages (OWL2, rules) expands the coverage of RDF and OWL, defining the data model independently of XML and including coverage of N3/Turtle and RDFa. A chapter is devoted to OWL2, the new W3C standard. This edition also features additional coverage of the query language SPARQL, the rule language RIF and the possibility of interaction between rules and ontology languages and applications. The chapter on Semantic Web applications reflects the rapid developments of the past few years. A new chapter offers ideas for term projects. Additional material, including updates on the technological trends and research directions, can be found at http://www.semanticwebprimer.org.


Data Management and Query Processing in Semantic Web Databases

Data Management and Query Processing in Semantic Web Databases

Author: Sven Groppe

Publisher: Springer Science & Business Media

Published: 2011-04-29

Total Pages: 273

ISBN-13: 3642193579

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The Semantic Web, which is intended to establish a machine-understandable Web, is currently changing from being an emerging trend to a technology used in complex real-world applications. A number of standards and techniques have been developed by the World Wide Web Consortium (W3C), e.g., the Resource Description Framework (RDF), which provides a general method for conceptual descriptions for Web resources, and SPARQL, an RDF querying language. Recent examples of large RDF data with billions of facts include the UniProt comprehensive catalog of protein sequence, function and annotation data, the RDF data extracted from Wikipedia, and Princeton University’s WordNet. Clearly, querying performance has become a key issue for Semantic Web applications. In his book, Groppe details various aspects of high-performance Semantic Web data management and query processing. His presentation fills the gap between Semantic Web and database books, which either fail to take into account the performance issues of large-scale data management or fail to exploit the special properties of Semantic Web data models and queries. After a general introduction to the relevant Semantic Web standards, he presents specialized indexing and sorting algorithms, adapted approaches for logical and physical query optimization, optimization possibilities when using the parallel database technologies of today’s multicore processors, and visual and embedded query languages. Groppe primarily targets researchers, students, and developers of large-scale Semantic Web applications. On the complementary book webpage readers will find additional material, such as an online demonstration of a query engine, and exercises, and their solutions, that challenge their comprehension of the topics presented.


Semantic Modeling for Data

Semantic Modeling for Data

Author: Panos Alexopoulos

Publisher: "O'Reilly Media, Inc."

Published: 2020-08-19

Total Pages: 330

ISBN-13: 1492054224

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What value does semantic data modeling offer? As an information architect or data science professional, let’s say you have an abundance of the right data and the technology to extract business gold—but you still fail. The reason? Bad data semantics. In this practical and comprehensive field guide, author Panos Alexopoulos takes you on an eye-opening journey through semantic data modeling as applied in the real world. You’ll learn how to master this craft to increase the usability and value of your data and applications. You’ll also explore the pitfalls to avoid and dilemmas to overcome for building high-quality and valuable semantic representations of data. Understand the fundamental concepts, phenomena, and processes related to semantic data modeling Examine the quirks and challenges of semantic data modeling and learn how to effectively leverage the available frameworks and tools Avoid mistakes and bad practices that can undermine your efforts to create good data models Learn about model development dilemmas, including representation, expressiveness and content, development, and governance Organize and execute semantic data initiatives in your organization, tackling technical, strategic, and organizational challenges