Ontology Engineering, Elisa F. Kendall, Deborah L. McGuinness

Автор: Wason Ritika, Chatterjee Jyotir Moy, Le Dac-Nhuong
Название: Ontology-Based Information Retrieval for Healthcare Systems
ISBN: 1119640482 ISBN-13(EAN): 9781119640486
Издательство: Wiley
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Цена: 193190.00 T
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Описание: Leading political theorists offer diverse interpretations of how to de-center Western thought in the field of political theory. This intergenerational, multi-methodological book demonstrates transformative qualities of comparative political theory.`Deparochializing` political theory is a necessary response to global modernity in the twenty-first century.

Автор: Mazzola Guerino, Mannone Maria, Pang Yan
Название: All about Music: The Complete Ontology: Realities, Semiotics, Communication, and Embodiment
ISBN: 3319837141 ISBN-13(EAN): 9783319837147
Издательство: Springer
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Цена: 46570.00 T
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Описание: This book explains music`s comprehensive ontology, its way of existence and processing, as specified in its compact characterization: music embodies meaningful communication and mediates physically between its emotional and mental layers.

Автор: Pedrycz Witold, Chen Shyi-Ming
Название: Sentiment Analysis and Ontology Engineering: An Environment of Computational Intelligence
ISBN: 331980779X ISBN-13(EAN): 9783319807799
Издательство: Springer
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Цена: 139750.00 T
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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 SVM^perf.- 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.

Автор: Ashraf Jamshaid, Hussain Omar K., Hussain Farookh Khadeer
Название: Measuring and Analysing the Use of Ontologies: A Semantic Framework for Measuring Ontology Usage
ISBN: 3030092968 ISBN-13(EAN): 9783030092962
Издательство: Springer
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Цена: 93160.00 T
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Описание: This unique book succinctly summarizes the need to measure how ontologies (one of the building blocks of the Semantic Web) are currently being utilized, providing insights for various stakeholders.

Автор: Forbes
Название: Ontology Engineering Applications in Healthcare and Workforce Management Systems
ISBN: 3319879251 ISBN-13(EAN): 9783319879253
Издательство: Springer
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Цена: 93160.00 T
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Описание: 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.

Автор: Kendall Elisa F., McGuinness Deborah L.
Название: Ontology Engineering
ISBN: 1681733080 ISBN-13(EAN): 9781681733081
Издательство: Mare Nostrum (Eurospan)
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Цена: 51750.00 T
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Описание:

Ontologies have become increasingly important as the use of knowledge graphs, machine learning, natural language processing (NLP), and the amount of data generated on a daily basis has exploded.

As of 2014, 90% of the data in the digital universe was generated in the two years prior, and the volume of data was projected to grow from 3.2 zettabytes to 40 zettabytes in the next six years. The very real issues that government, research, and commercial organizations are facing in order to sift through this amount of information to support decision-making alone mandate increasing automation. Yet, the data profiling, NLP, and learning algorithms that are ground-zero for data integration, manipulation, and search provide less than satisfactory results unless they utilize terms with unambiguous semantics, such as those found in ontologies and well-formed rule sets. Ontologies can provide a rich "schema" for the knowledge graphs underlying these technologies as well as the terminological and semantic basis for dramatic improvements in results. Many ontology projects fail, however, due at least in part to a lack of discipline in the development process. This book, motivated by the Ontology 101 tutorial given for many years at what was originally the Semantic Technology Conference (SemTech) and then later from a semester-long university class, is designed to provide the foundations for ontology engineering. The book can serve as a course textbook or a primer for all those interested in ontologies.

Автор: Alexander Maedche
Название: Ontology Learning for the Semantic Web
ISBN: 1461353076 ISBN-13(EAN): 9781461353072
Издательство: Springer
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Цена: 93160.00 T
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Описание: Ontology Learning for the Semantic Web explores techniques for applying knowledge discovery techniques to different web data sources (such as HTML documents, dictionaries, etc.), in order to support the task of engineering and maintaining ontologies.

Автор: Francesco Orilia; W.J. Rapaport
Название: Thought, Language, and Ontology
ISBN: 940106122X ISBN-13(EAN): 9789401061223
Издательство: Springer
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Цена: 139750.00 T
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Автор: Philipp Cimiano
Название: Ontology Learning and Population from Text
ISBN: 1441940324 ISBN-13(EAN): 9781441940322
Издательство: Springer
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Цена: 121110.00 T
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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: 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
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Цена: 93160.00 T
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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: J?r?me Euzenat; Pavel Shvaiko
Название: Ontology Matching
ISBN: 3662500426 ISBN-13(EAN): 9783662500422
Издательство: Springer
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Цена: 93160.00 T
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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.

Автор: Valentina Tamma; Mauro Dragoni; Rafael Gon?alves;
Название: Ontology Engineering
ISBN: 3319332449 ISBN-13(EAN): 9783319332444
Издательство: Springer
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Цена: 46590.00 T
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Описание:

General Terminology Induction in OWL.- OBOWLMorph: Starting Ontology Development from PURO Background Models.- A similarity based approach to omission finding in ontologies.- An Ontology For Supporting The Evolution of Virtual Reality Scenarios.- Collaborative editing of Ontologies using Fluent Editor and Ontorion.- Integrating Ontology Negotiation and Agent Communication.- Lifting EMMeT to OWL Getting the Most from SKOS.- Experiences with Aber-OWL, an ontology repository with OWL EL reasoning.- Towards a Rule Based Distributed OWL Reasoning Framework.- Improving OWL RL reasoning in N3 by using specialized rules.- On the Capabilities and Limitations of OWL Regarding Typecasting and Ontology Design Pattern Views.- How to Keep a Reference Ontology Relevant to the Industry: a Case Study from the Smart Home.- An INSPIRE-based vocabulary for the publication of Agricultural Linked Data.- Towards a Core Ontology of Occupational Safety and Health.- Towards a Visual Notation for OWL: A Brief Summary of VOWL.- Snap-SPARQL: A Java Framework for working with SPARQL and OWL.- An Application Ontology to Help Users of a Geo-decision Software Understanding their Data.- Ontology Engineering: From an Art to a Craft - The Case of the Data Mining Ontologies.