Ontology-Based Multi-Agent Systems, Maja Hadzic; Elizabeth J. Chang; Pornpit Wongthong
Автор: Heiko Paulheim Название: Ontology-based Application Integration ISBN: 1489994300 ISBN-13(EAN): 9781489994301 Издательство: Springer Рейтинг: Цена: 11173.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume introduces user-interface application integration and examines current problems that ontologies can solve. It details a new way of applying ontologies to system integration and discusses how end-users can benefit from semantic technologies.
Автор: Vahid Ebrahimipour; Soumaya Yacout Название: Ontology Modeling in Physical Asset Integrity Management ISBN: 3319153250 ISBN-13(EAN): 9783319153254 Издательство: Springer Рейтинг: Цена: 16979.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents cutting-edge applications of, and up-to-date research on, ontology engineering techniques in the physical asset integrity domain.
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: 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.
Автор: Valentina Tamma; Mauro Dragoni; Rafael Gon?alves; Название: Ontology Engineering ISBN: 3319332449 ISBN-13(EAN): 9783319332444 Издательство: Springer Рейтинг: Цена: 6988.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
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: 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.
Описание: This crucial addition to the literature features internationally renowned authorities in science, computer science, and modeling and simulation, who explain the contribution that ontology, epistemology and teleology will make to next-generation applications.
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: 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: Alexander Maedche Название: Ontology Learning for the Semantic Web ISBN: 1461353076 ISBN-13(EAN): 9781461353072 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
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