Ontology Engineering, Valentina Tamma; Mauro Dragoni; Rafael Gon?alves;
Автор: Witold Pedrycz; Shyi-Ming Chen Название: Sentiment Analysis and Ontology Engineering ISBN: 3319303171 ISBN-13(EAN): 9783319303178 Издательство: Springer Рейтинг: Цена: 20896.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Fundamentals of Sentiment Analysis and Its Applications.- Fundamentals of Sentiment Analysis: Concepts and Methodology.- The Comprehension of Figurative Language: What is the Influence of Irony and Sarcasm on NLP Techniques?.- Probabilistic Approaches for Sentiment Analysis: Latent Dirichlet Allocation for Ontology Building and Sentiment Extraction.- Description Logic Class Expression Learning Applied to Sentiment Analysis.- Capturing Digest Emotions by Means of Fuzzy Linguistic Aggregation.- Hyperelastic-based Adaptive Dynamics Methodology in Knowledge Acquisition for Computational Intelligence on Ontology Engineering of Evolving Folksonomy Driven Environment.- Sentiment-Oriented Information Retrieval: Affective Analysis of Documents Based on the SenticNet Framework.- Interpretability of Computational Models for Sentiment Analysis.- Chinese Micro-blog Emotion Classification by Exploiting Linguistic Features and SVMperf.- Social Media and News Sentiment Analysis for Advanced Investment Strategies.- Context Aware Customer Experience Management: A Development Framework Based on Ontologies and Computational Intelligence.- An Overview of Sentiment Analysis in Social Media and Its Applications in Disaster Relief.- Big Data Sentiment Analysis for Brand Monitoring in Social Media Streams by Cloud Computing.- Neuro-Fuzzy Sentiment Analysis for Customer Review Rating Prediction.- OntoLSA: An Integrated Text Mining System for Ontology Learning and Sentiment Analysis.- Knowledge-based Tweet Classification for Disease Sentiment Monitoring.
Название: Ontology Matching ISBN: 3642387209 ISBN-13(EAN): 9783642387203 Издательство: Springer Рейтинг: Цена: 19564.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book explores ontology matching as a solution to the semantic heterogeneity problem faced by computer systems. Also covers emerging topics such as data interlinking, ontology partitioning and pruning, and user involvement in matching.
Looking beyond the communications technology horizon and projecting future competency-specific employment demand, this book presents an evaluation of desirable information systems enhancements by integrating two disparate-domain computer ontologies. It provides readers a fresh solutions approach based on dynamic modeling and methodological contributions to philosophical and assistive communications system development in healthcare, addressing the need for both demand intelligence and practical work environment support.
The pace of change in redefining occupation-specific employee resourcing needs is unrelenting and continues to accelerate. And the exponential growth in the demand for healthcare service delivery is correspondingly daunting. As such, the public and private sectors are faced with the challenge of sustaining credible relevant demand intelligence and recruitment practices, while integration, expansion and enrichment of ostensibly unconnected ontologies represent key R&D issues.
Автор: Dragan Ga?evic; Bran V. Selic; Jean B?zivin; Draga Название: Model Driven Engineering and Ontology Development ISBN: 3642101348 ISBN-13(EAN): 9783642101342 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book details how to use model-driven engineering for ontology development on the Semantic Web. It explains in detail how to use standards like MDA and UML for ontology development and offers the first detailed description of OMG`s upcoming ODM standard.
Автор: Arp Robert, Smith Barry, Spear Andrew D. Название: Building Ontologies with Basic Formal Ontology ISBN: 0262527812 ISBN-13(EAN): 9780262527811 Издательство: MIT Press Рейтинг: Цена: 5925.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
An introduction to the field of applied ontology with examples derived particularly from biomedicine, covering theoretical components, design practices, and practical applications.
In the era of "big data," science is increasingly information driven, and the potential for computers to store, manage, and integrate massive amounts of data has given rise to such new disciplinary fields as biomedical informatics. Applied ontology offers a strategy for the organization of scientific information in computer-tractable form, drawing on concepts not only from computer and information science but also from linguistics, logic, and philosophy. This book provides an introduction to the field of applied ontology that is of particular relevance to biomedicine, covering theoretical components of ontologies, best practices for ontology design, and examples of biomedical ontologies in use.
After defining an ontology as a representation of the types of entities in a given domain, the book distinguishes between different kinds of ontologies and taxonomies, and shows how applied ontology draws on more traditional ideas from metaphysics. It presents the core features of the Basic Formal Ontology (BFO), now used by over one hundred ontology projects around the world, and offers examples of domain ontologies that utilize BFO. The book also describes Web Ontology Language (OWL), a common framework for Semantic Web technologies. Throughout, the book provides concrete recommendations for the design and construction of domain ontologies.
Автор: Philipp Cimiano Название: Ontology Learning and Population from Text ISBN: 1441940324 ISBN-13(EAN): 9781441940322 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Preliminaries.- Ontologies.- Ontology Learning from Text.- Basics.- Datasets.- Methods and Applications.- Concept Hierarchy Induction.- Learning Attributes and Relations.- Population.- Applications.- Conclusion.- Contribution and Outlook.- Concluding Remarks.
Автор: Eduardo Mena; Arantza Illarramendi Название: Ontology-Based Query Processing for Global Information Systems ISBN: 1461355559 ISBN-13(EAN): 9781461355557 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In Chapter 1 we introduce our rationale for writing a book about systems that process queries in global information systems. Chapter 3 presents our proposed global system architecture for query processing in global information systems.
Автор: Jeff Z. Pan; Steffen Staab; Uwe A?mann; J?rgen Ebe Название: Ontology-Driven Software Development ISBN: 3642428959 ISBN-13(EAN): 9783642428951 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume establishes a new quality standard for software products, and increased efficiency in their development, by applying findings in the field of logic to mainstream software development and its languages. It covers both domain and software modeling.
Автор: Francesco Orilia; W.J. Rapaport Название: Thought, Language, and Ontology ISBN: 940106122X ISBN-13(EAN): 9789401061223 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Maja Hadzic; Elizabeth J. Chang; Pornpit Wongthong Название: Ontology-Based Multi-Agent Systems ISBN: 3642425496 ISBN-13(EAN): 9783642425493 Издательство: Springer Рейтинг: Цена: 23751.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The Semantic web has greatly motivated the development of ontologies and multi-agent systems separately. This book is the first to provide an integrated treatment of the modeling, design and implementation of combined ontology/multi-agent systems.
Автор: J?r?me Euzenat; Pavel Shvaiko Название: Ontology Matching ISBN: 3662500426 ISBN-13(EAN): 9783662500422 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book explores ontology matching as a solution to the semantic heterogeneity problem faced by computer systems. Also covers emerging topics such as data interlinking, ontology partitioning and pruning, and user involvement in matching.
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