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The Semantic Web – ISWC 2016, Groth


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Автор: Groth
Название:  The Semantic Web – ISWC 2016
ISBN: 9783319465227
Издательство: Springer
Классификация:



ISBN-10: 3319465228
Обложка/Формат: Paperback
Страницы: 672
Вес: 1.04 кг.
Дата издания: 2016
Серия: Information Systems and Applications, incl. Internet/Web, and HCI
Язык: English
Иллюстрации: 158 black & white illustrations, biography
Размер: 234 x 156 x 36
Читательская аудитория: Professional & vocational
Основная тема: Computer Science
Подзаголовок: 15th International Semantic Web Conference, Kobe, Japan, October 17–21, 2016, Proceedings, Part I
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание:

Structuring Linked Data Search Results Using Probabilistic Soft Logic.- The multiset semantics of SPARQL patterns.- Ontop of Geospatial Databases.- Expressive Multi-Level Modeling for the Semantic Web.- Practical Acyclicity Notions for Query Answering Horn-SRIQ Ontologies.- Containment of Expressive SPARQL Navigational Queries.- WebBrain: Joint Neural Learning of Large-Scale Commonsense Knowledge.- Efficient Algorithms for Association Finding and Frequent Association Pattern Mining.- A Reuse-based Annotation Approach for Medical Documents.- Knowledge Representation on the Web revisited: the Case for Prototypes.- Updating DL-Lite Ontologies through First-Order Queries.- Are Names Meaningful? Quantifying Social Meaning on the Semantic Web.- User validation in ontology alignment.- Seed, an End-user Text Composition Tool for the Semantic Web.- Exception-enriched Rule Learning from Knowledge Graphs.- Planning Ahead: Stream-Driven Linked-Data Access under Update-Budget Constraints.- Explicit Query Interpretation and Diversification for Context-driven Concept Search across Ontologies.- Predicting Energy Consumption of Ontology Reasoning over Mobile Devices.- Walking without a Map: Ranking-Based Traversal for Querying Linked Data.- CubeQA-Question Answering on RDF Data Cubes.- Optimizing Aggregate SPARQL Queries using Materialized RDF Views.- Algebraic calculi for weighted ontology alignments.- Ontologies for Knowledge Graphs: Breaking the Rules.- An Extensible Linear Approach For Holistic Ontology Matching.- Semantic Sensitive Simultaneous Tensor Factorization.- Multi-level semantic labelling of numerical values.- Semantic labeling: A domain-independent approach.- Exploiting Emergent Schemas to make RDF systems more efficient.- Distributed RDF Query Answering with Dynamic Data Exchange.- RDF2Vec: RDF Graph Embeddings for Data Mining.- SPARQL-to-SQL on Internet of Things Databases and Streams.- Can you imagine... a language for combinatorial creativity?.- Leveraging Linked Data to Discover Semantic Relations within Data Sources.- Integrating medical scientific knowledge with the semantically Quantified Self.- Learning to Assess Linked Data Relationships Using Genetic Programming.- A Probabilistic Model for Time-Aware Entity Recommendation.- A Knowledge Base Approach to Cross-lingual Keyword Query Interpretation.- Context-Free Path Queries on RDF Graphs.- Unsupervised Entity Resolution on Multi-type Graphs.


Дополнительное описание: Structuring Linked Data Search Results Using Probabilistic Soft Logic.- The multiset semantics of SPARQL patterns.- Ontop of Geospatial Databases.- Expressive Multi-Level Modeling for the Semantic Web.- Practical Acyclicity Notions for Query Answering Hor



The Semantic Web – ISWC 2016

Автор: Groth
Название: The Semantic Web – ISWC 2016
ISBN: 3319465465 ISBN-13(EAN): 9783319465463
Издательство: Springer
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Цена: 10342.00 р.
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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.

The Semantic Web

Автор: Yong-jiang Yu; Ying Ding
Название: The Semantic Web
ISBN: 3642108709 ISBN-13(EAN): 9783642108709
Издательство: Springer
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Цена: 10480.00 р.
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Описание: Fourth Asian Conference ASWC 2009 Shanghai China December 69 2008 Proceedings. .

The Semantic Web - ISWC 2009

Автор: Abraham Bernstein; David R. Karger; Tom Heath; Lee
Название: The Semantic Web - ISWC 2009
ISBN: 364204929X ISBN-13(EAN): 9783642049293
Издательство: Springer
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Цена: 23757.00 р.
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Semantic Web Challenges

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: 8385.00 р.
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Описание:

This book constitutes the thoroughly refereed post conference proceedings of the third edition of the Semantic Web Evaluation Challenge, SemWebEval 2016, co-located with the 13th European Semantic Web conference, held in Heraklion, Crete, Greece, in May/June 2016.
This book includes the descriptions of all methods and tools that competed at SemWebEval 2016, together with a detailed description of the tasks, evaluation procedures and datasets. The contributions are grouped in the areas: Open Knowledge Extraction (OKE 2016); Semantic Sentiment Analysis (SSA 2016); Question Answering over Linked Data (QALD 6); Top-K Shortest Path in Large Typed RDF Graphs Datasets; Semantic Publishing (SemPub2016).
Natural Language Understanding in a Semantic Web Context

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: 7965.00 р.
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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.


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