Автор: Groth Название: The Semantic Web – ISWC 2016 ISBN: 3319465228 ISBN-13(EAN): 9783319465227 Издательство: Springer Рейтинг: Цена: 11460.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
Автор: Ngonga Ngomo Название: Knowledge Engineering and Semantic Web ISBN: 3319458795 ISBN-13(EAN): 9783319458793 Издательство: Springer Рейтинг: Цена: 9503.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
This book constitutes the refereed proceedings of the 7th International Conference on Knowledge Engineering and the Semantic Web, KESW 2016, held in Prague, Czech Republic, in September 2016.
The 17 revised full papers presented together with 9 short papers were carefully reviewed and selected from 53 submissions. The papers are organized in topical sections on ontologies; information and knowledge extraction; data management; applications.
Автор: ?scar Martinez Mozos Название: Semantic Labeling of Places with Mobile Robots ISBN: 3642112099 ISBN-13(EAN): 9783642112096 Издательство: Springer Рейтинг: Цена: 18284.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Service robots often work in indoor environments divided into rooms, corridors and doorways. This book presents several approaches to enable a mobile robot to categorize places indoors. Many approaches come from areas of pattern recognition and classification.
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: Barri?re Название: Natural Language Understanding in a Semantic Web Context ISBN: 331941335X ISBN-13(EAN): 9783319413358 Издательство: Springer Рейтинг: Цена: 7965.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
Описание: This book constitutes the refereed proceedings of the first China Conference on Knowledge Graph and Semantic Computing, CCKS, held in Beijing, China, in September 2016.The 19 revised full papers presented together with 6 shared tasks were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on knowledge representation and learning; knowledge graph construction and information extraction; linked data and knowledge-based systems; shared tasks.
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