The Social Semantic Web, John G Breslin; Alexandre Passant; Stefan Decker

Автор: Ryszard Kowalczyk
Название: Computational Collective Intelligence. Semantic Web, Social Networks and Multiagent Systems
ISBN: 3642044409 ISBN-13(EAN): 9783642044403
Издательство: Springer
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Цена: 130430.00 T
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Описание: Computational collective intelligence (CCI) is most often understood as a subfield of artificial intelligence (AI) dealing with soft computing methods that enable group decisions to be made or knowledge to be processed among autonomous units acting in distributed environments.

Автор: Harald Sack; Giuseppe Rizzo; Nadine Steinmetz; Dun
Название: The Semantic Web
ISBN: 3319476017 ISBN-13(EAN): 9783319476018
Издательство: Springer
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Цена: 61490.00 T
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Описание: Workshop on Emotions, Modality, Sentiment Analysis and the Semantic Web.- 5th Workshop on Knowledge Discovery and Data Mining Meets Linked Open Data (Know@LOD).- LDQ: 3rd Workshop on Linked Data Quality.- Fourth Workshop on Linked Media (LiME-2016).- Managing the Evolution and Preservation of the Data Web.- PROFILES'16: 3rd International Workshop on Dataset PROFIling and fEderated Search for Linked Data.- Workshop on Extraction and Processing of Rich Semantics from Medical Texts.- SALAD - Services and Applications over Linked APIs and Data.- Semantic Web Technologies in Mobile and Pervasive Environments (SEMPER).- International Workshop on Summarizing and Presenting Entities and Ontologies.- 2nd Int. Workshop on Semantic Web for Scientific Heritage (SW4SH).- 1st Workshop on Humanities in the SEmantic web (WHiSE 2016).

Автор: Biffl
Название: Semantic Web Technologies for Intelligent Engineering Applications
ISBN: 3319414887 ISBN-13(EAN): 9783319414881
Издательство: Springer
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Цена: 102480.00 T
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Описание: This is the first book to explore how Semantic Web technologies (SWTs) can be used to create intelligent engineering applications (IEAs). Technology-specific chapters reflect the state of the art in relevant SWTs and offer guidelines on how they can be applied in multi-disciplinary engineering settings characteristic of engineering production systems. In addition, a selection of case studies from various engineering domains demonstrate how SWTs can be used to create IEAs that enable, for example, defect detection or constraint checking.Part I “Background and Requirements of Industrie 4.0 for Semantic Web Solutions” provides the background information needed to understand the book and addresses questions concerning the semantic challenges and requirements of Industrie 4.0, and which key SWT capabilities may be suitable for implementing engineering applications. In turn, Part II “Semantic Web-Enabled Data Integration in Multi-Disciplinary Engineering” focuses on how SWTs can be used for data integration in heterogeneous, multi-disciplinary engineering settings typically encountered in the creation of flexible production systems. Part III “Creating Intelligent Applications for Multi-Disciplinary Engineering” demonstrates how the integrated engineering data can be used to support the creation of IEAs, while Part IV “Related and Emerging Trends in the Use of Semantic Web in Engineering” presents an overview of the broader spectrum of approaches that make use of SWTs to support engineering settings. A final chapter then rounds out the book with an assessment of the strengths, weaknesses and compatibilities of SWTs and an outlook on future opportunities for applying SWTs to create IEAs in flexible industrial production systems.This book seeks to build a bridge between two communities: industrial production on one hand and Semantic Web on the other. Accordingly, stakeholders from both communities should find this book useful in their work. Semantic Web researchers will gain a better understanding of the challenges and requirements of the industrial production domain, offering them guidance in the development of new technologies and solutions for this important application area. In turn, engineers and managers from engineering domains will arrive at a firmer grasp of the benefits and limitations of using SWTs, helping them to select and adopt appropriate SWTs more effectively. In addition, researchers and students interested in industrial production-related issues will gain valuable insights into how and to what extent SWTs can help to address those issues.

Автор: Ngonga Ngomo
Название: Knowledge Engineering and Semantic Web
ISBN: 3319458795 ISBN-13(EAN): 9783319458793
Издательство: Springer
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Цена: 63350.00 T
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Автор: Eva Blomqvist; Diana Maynard; Aldo Gangemi; Rinke
Название: The Semantic Web
ISBN: 3319580671 ISBN-13(EAN): 9783319580678
Издательство: Springer
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Цена: 83850.00 T
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Описание: The two volumes LNCS 10249 and 10250 constitute the refereed proceedings of the 14th International Semantic Web Conference, ESWC 2017, held in Portoroz, Slovenia. The 51 revised full papers presented were carefully reviewed and selected from 183 submissions.

Автор: Giovambattista Ianni; Domenico Lembo; Leopoldo Ber
Название: Reasoning Web. Semantic Interoperability on the Web
ISBN: 3319610325 ISBN-13(EAN): 9783319610320
Издательство: Springer
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Цена: 60550.00 T
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Описание:

This volume contains the lecture notes of the 13th Reasoning Web Summer School, RW 2017, held in London, UK, in July 2017.

In 2017, the theme of the school was "Semantic Interoperability on the Web", which encompasses subjects such as data integration, open data management, reasoning over linked data, database to ontology mapping, query answering over ontologies, hybrid reasoning with rules and ontologies, and ontology-based dynamic systems. The papers of this volume focus on these topics and also address foundational reasoning techniques used in answer set programming and ontologies.

Автор: Harald Sack; Stefan Dietze; Anna Tordai; Christoph
Название: Semantic Web Challenges
ISBN: 3319465643 ISBN-13(EAN): 9783319465647
Издательство: Springer
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Цена: 55900.00 T
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Автор: Mauro Dragoni; Monika Solanki; Eva Blomqvist
Название: Semantic Web Challenges
ISBN: 3319691457 ISBN-13(EAN): 9783319691459
Издательство: Springer
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Цена: 55890.00 T
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Описание: This book constitutes the thoroughly refereed post conference proceedings of the 4th edition of the Semantic Web Evaluation Challenge, SemWebEval 2017, co-located with the 14th European Semantic Web conference, held in Portoroz, Slovenia, in May/June 2017.
This book includes the descriptions of all methods and tools that competed at SemWebEval 2017, together with a detailed description of the tasks, evaluation procedures and datasets. The 11 revised full papers presented in this volume were carefully reviewed and selected from 21 submissions. The contributions are grouped in the areas: the mighty storage challenge; open knowledge extraction challenge; question answering over linked data challenge; semantic sentiment analysis.

Автор: Bettina Berendt; Dunja Mladenic; Marco de Gemmis;
Название: Knowledge Discovery Enhanced with Semantic and Social Information
ISBN: 3642426093 ISBN-13(EAN): 9783642426094
Издательство: Springer
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Цена: 139750.00 T
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Описание: This book is showcases recent advances in knowledge discovery enhanced with semantic and social information. It includes eight chapters that grew out of joint workshops at ECML/PKDD 2007. The contributions emphasize the vision of the Web as a social medium.

Автор: Bettina Berendt; Dunja Mladenic; Marco de Gemmis;
Название: Knowledge Discovery Enhanced with Semantic and Social Information
ISBN: 3642018904 ISBN-13(EAN): 9783642018909
Издательство: Springer
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Цена: 139750.00 T
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Описание: Presents the advances in knowledge discovery enhanced with semantic and social information. This book addresses such topics as: inductive logic programming; the role of human users; investigations of fully automated methods for integrating background knowledge; and, the use of background knowledge for Web mining.

Автор: Barri?re
Название: Natural Language Understanding in a Semantic Web Context
ISBN: 331941335X ISBN-13(EAN): 9783319413358
Издательство: Springer
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Цена: 53100.00 T
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Описание: This book serves as a starting point for Semantic Web (SW) students and researchers interested in discovering what Natural Language Processing (NLP) has to offer. NLP can effectively help uncover the large portions of data held as unstructured text in natural language, thus augmenting the real content of the Semantic Web in a significant and lasting way. The book covers the basics of NLP, with a focus on Natural Language Understanding (NLU), referring to semantic processing, information extraction and knowledge acquisition, which are seen as the key links between the SW and NLP communities. Major emphasis is placed on mining sentences in search of entities and relations. In the course of this “quest', challenges will be encountered for various text analysis tasks, including part-of-speech tagging, parsing, semantic disambiguation, named entity recognition and relation extraction. Standard algorithms associated with these tasks are presented to provide an understanding of the fundamental concepts. Furthermore, the importance of experimental design and result analysis is emphasized, and accordingly, most chapters include small experiments on corpus data with quantitative and qualitative analysis of the results.This book is divided into four parts. Part I “Searching for Entities in Text” is dedicated to the search for entities in textual data. Next, Part II “Working with Corpora” investigates corpora as valuable resources for NLP work. In turn, Part III “Semantic Grounding and Relatedness” focuses on the process of linking surface forms found in text to entities in resources. Finally, Part IV “Knowledge Acquisition” delves into the world of relations and relation extraction. The book also includes three appendices: “A Look into the Semantic Web” gives a brief overview of the Semantic Web and is intended to bring readers less familiar with the Semantic Web up to speed, so that they too can fully benefit from the material of this book. “NLP Tools and Platforms” provides information about NLP platforms and tools, while “Relation Lists” gathers lists of relations under different categories, showing how relations can be varied and serve different purposes. And finally, the book includes a glossary of over 200 terms commonly used in NLP.The book offers a valuable resource for graduate students specializing in SW technologies and professionals looking for new tools to improve the applicability of SW techniques in everyday life – or, in short, everyone looking to learn about NLP in order to expand his or her horizons. It provides a wealth of information for readers new to both fields, helping them understand the underlying principles and the challenges they may encounter.

Автор: Groth
Название: The Semantic Web – ISWC 2016
ISBN: 3319465465 ISBN-13(EAN): 9783319465463
Издательство: Springer
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Цена: 68950.00 T
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Описание:

Ontological representation of audio features.- Abstract Meaning Representations as Linked Data.- Interoperability for Smart Appliances in the IoT World.- An Ontology of Soil Properties and Processes.- LODStats: The Data Web Census Dataset.- Zhishi.lemon：On Publishing Zhishi.me as Linguistic Linked Open Data.- Linked Disambiguated Distributional Semantic Networks.- BESDUI: A Benchmark for End-User Structured Data User Interfaces.- SPARQLGX: Efficient Distributed Evaluation of SPARQL with Apache Spark.- Querying Wikidata: Comparing SPARQL, Relational and Graph Databases.- Clinga: Bringing Chinese Physical and Human Geography in Linked Open Data.- LinkGen: Multipurpose Linked Data Generator.- OntoBench: Generating Custom OWL 2 Benchmark Ontologies.- Linked Data (in low-resource) Platforms: a mapping for Constrained Application Protocol.- TripleWave: Spreading RDF Streams on the Web.- Conference Linked Data: the ScholarlyData project.- The OWL Reasoner Evaluation (ORE) 2015 Resources.- FOOD: FOod in Open Data.- YAGO: a Multilingual Knowledge Base from Wikipedia, Wordnet, and Geonames.- A Collection of Benchmark Datasets for Systematic Evaluations of Machine Learning on the Semantic Web.- Enabling combined software and data engineering at Web-scale: The ALIGNED suite of ontologies.- A Large Scale Replication Study of the Top Systems performing in SemEval Twitter Sentiment Analysis.- VoldemortKG: Mapping schema.org and Web Entities to Linked Open Data.- AUFX-O: Novel Methods for the Representation of Audio Processing Workflows.- Translating Ontologies in a Real-World Setting with ESSOT.- EnergyUse - A Collaborative Semantic Platform for Monitoring and Discussing Energy Consumption.- Extracting Semantic Information for e-Commerce.- Building Urban LOD for Solving Illegally Parked Bicycles in Tokyo.- Ontology-Based Design of Space Systems.- Capturing Industrial Information Models with Ontologies and Constraints.- Towards Analytics Aware Ontology Based Access to Static and Streaming Data.- QuerioDALI: Question Answering over Dynamic and Linked Knowledge Graphs.- Automatic Classification of Springer Nature Proceedings with Smart Topic Miner.- Semantic Technologies for Data Analysis in Health Care.- Building and Exploring an Enterprise Knowledge Graph for Investment Analysis.- Extending SPARQL for data analytic tasks.