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Author: Marvin Minsky
Publisher: Mit Press
ISBN: 9780262516853
Category : Computers
Languages : en
Pages : 450
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Book Description
Author: Marvin Minsky
Publisher: Mit Press
ISBN: 9780262516853
Category : Computers
Languages : en
Pages : 450
Get Book
Book Description
Author: Marvin Minsky
Publisher:
ISBN:
Category :
Languages : en
Pages : 440
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Book Description
Author: Marvin Minsky
Publisher:
ISBN:
Category : Artificial intelligence
Languages : en
Pages : 440
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Book Description
Author: Heiner Stuckenschmidt
Publisher: Springer Science & Business Media
ISBN: 9783540205944
Category : Business & Economics
Languages : en
Pages : 300
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Book Description
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.
Author: Pei-Fang Hung
Publisher: Plural Publishing
ISBN: 1635502195
Category : Medical
Languages : en
Pages : 473
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Book Description
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.
Author: Sven Groppe
Publisher: Springer Science & Business Media
ISBN: 3642193579
Category : Computers
Languages : en
Pages : 273
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Book Description
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.
Author: Gokhan Tur
Publisher: John Wiley & Sons
ISBN: 1119993946
Category : Language Arts & Disciplines
Languages : en
Pages : 443
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Book Description
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.
Author: Panos Alexopoulos
Publisher: "O'Reilly Media, Inc."
ISBN: 1492054224
Category : Computers
Languages : en
Pages : 330
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Book Description
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
Author: Jerome R. Bellegarda
Publisher: Springer Nature
ISBN: 3031025563
Category : Technology & Engineering
Languages : en
Pages : 101
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Book Description
Latent semantic mapping (LSM) is a generalization of latent semantic analysis (LSA), a paradigm originally developed to capture hidden word patterns in a text document corpus. In information retrieval, LSA enables retrieval on the basis of conceptual content, instead of merely matching words between queries and documents. It operates under the assumption that there is some latent semantic structure in the data, which is partially obscured by the randomness of word choice with respect to retrieval. Algebraic and/or statistical techniques are brought to bear to estimate this structure and get rid of the obscuring ""noise."" This results in a parsimonious continuous parameter description of words and documents, which then replaces the original parameterization in indexing and retrieval. This approach exhibits three main characteristics: -Discrete entities (words and documents) are mapped onto a continuous vector space; -This mapping is determined by global correlation patterns; and -Dimensionality reduction is an integral part of the process. Such fairly generic properties are advantageous in a variety of different contexts, which motivates a broader interpretation of the underlying paradigm. The outcome (LSM) is a data-driven framework for modeling meaningful global relationships implicit in large volumes of (not necessarily textual) data. This monograph gives a general overview of the framework, and underscores the multifaceted benefits it can bring to a number of problems in natural language understanding and spoken language processing. It concludes with a discussion of the inherent tradeoffs associated with the approach, and some perspectives on its general applicability to data-driven information extraction. Contents: I. Principles / Introduction / Latent Semantic Mapping / LSM Feature Space / Computational Effort / Probabilistic Extensions / II. Applications / Junk E-mail Filtering / Semantic Classification / Language Modeling / Pronunciation Modeling / Speaker Verification / TTS Unit Selection / III. Perspectives / Discussion / Conclusion / Bibliography
Author: Marvin Minsky
Publisher: MIT Press
ISBN: 0262039095
Category : Education
Languages : en
Pages : 231
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Book Description
Six essays by artificial intelligence pioneer Marvin Minsky on how education can foster inventiveness, paired with commentary by Minsky's former colleagues and students. Marvin Minsky was a pioneering researcher in artificial intelligence whose work led to both theoretical and practical advances. His work was motivated not only by technological advancement but also by the desire to understand the workings of our own minds. Minsky's insights about the mind provide fresh perspectives on education and how children learn. This book collects for the first time six essays by Minsky on children, learning, and the potential of computers in school to enrich children's development. In these essays Minsky discusses the shortcomings of conventional education (particularly in mathematics) and considers alternative approaches; reflects on the role of mentors; describes higher-level strategies for thinking across domains; and suggests projects for children to pursue. Each essay is paired with commentary by one of Minsky's former colleagues or students, which identifies Minsky's key ideas and connects his writings to current research. Minsky once observed that in traditional teaching, “instead of promoting inventiveness, we focus on preventing mistakes.” These essays offer Minsky's unique insights into how education can foster inventiveness. Commentary by Hal Abelson, Walter Bender, Alan Kay, Margaret Minsky, Brian Silverman, Gary Stager, Mike Travers, Patrick Henry Winston
