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Query Understanding for Search Engines, Chang Yi, Deng Hongbo


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Цена: 18294.00р.
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Автор: Chang Yi, Deng Hongbo
Название:  Query Understanding for Search Engines
ISBN: 9783030583361
Издательство: Springer
Классификация:


ISBN-10: 3030583368
Обложка/Формат: Paperback
Страницы: 236
Вес: 0.34 кг.
Дата издания: 16.12.2021
Серия: The information retrieval series
Язык: English
Издание: 1st ed. 2020
Иллюстрации: 5 illustrations, color; 16 illustrations, black and white; x, 224 p. 21 illus., 5 illus. in color.; 5 illustrations, color; 16 illustrations, black an
Размер: 23.39 x 15.60 x 1.27 cm
Читательская аудитория: Professional & vocational
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: 1. An Introduction to Query Understanding.- 2. Query Classification.- 3. Query Segmentation and Tagging.- 4. Query Intent Understanding.- 5. Query Spelling Correction.- 6. Query Rewriting.- 7. Query Auto-Completion.- 8. Query Suggestion.- 9. Future Directions of Query Understanding.


Query Understanding for Search Engines

Автор: Chang Yi, Deng Hongbo
Название: Query Understanding for Search Engines
ISBN: 3030583333 ISBN-13(EAN): 9783030583330
Издательство: Springer
Цена: 18294.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: 1. An Introduction to Query Understanding.- 2. Query Classification.- 3. Query Segmentation and Tagging.- 4. Query Intent Understanding.- 5. Query Spelling Correction.- 6. Query Rewriting.- 7. Query Auto-Completion.- 8. Query Suggestion.- 9. Future Directions of Query Understanding.

An Introduction to XML Query Processing and Keyword Search

Автор: Jiaheng Lu
Название: An Introduction to XML Query Processing and Keyword Search
ISBN: 3642446078 ISBN-13(EAN): 9783642446078
Издательство: Springer
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Цена: 14635.00 р.
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Описание: This book systematically and comprehensively covers the latest advances in XML data searching. It presents an extensive overview of the current query processing and keyword search techniques on XML data.

Textual and Visual Information Retrieval using Query Refinement and Pattern Analysis

Автор: S.G. Shaila; A Vadivel
Название: Textual and Visual Information Retrieval using Query Refinement and Pattern Analysis
ISBN: 9811325588 ISBN-13(EAN): 9789811325588
Издательство: Springer
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Цена: 10366.00 р.
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Описание: This book offers comprehensive coverage of information retrieval by considering both Text Based Information Retrieval (TBIR) and Content Based Image Retrieval (CBIR), together with new research topics. The approach to TBIR is based on creating a thesaurus, as well as event classification and detection. N-gram thesaurus generation for query refinement offers a new method for improving the precision of retrieval, while event classification and detection approaches aid in the classification and organization of information using web documents for domain-specific retrieval applications. In turn, with regard to content based image retrieval (CBIR) the book presents a histogram construction method, which is based on human visual perceptions of color. The book’s overarching goal is to introduce readers to new ideas in an easy-to-follow manner.

Flexible Query Answering Systems 2015

Автор: Troels Andreasen; Henning Christiansen; Janusz Kac
Название: Flexible Query Answering Systems 2015
ISBN: 3319261533 ISBN-13(EAN): 9783319261539
Издательство: Springer
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Цена: 23173.00 р.
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Описание: In targeting this issue, the Conference draws on several research areas, such as information retrieval, database management, information filtering, knowledge representation, soft computing, management of multimedia information, and human-computer interaction.

Flexible Query Answering Systems

Автор: Troels Andreasen; Ronald R. Yager; Henrik Bulskov;
Название: Flexible Query Answering Systems
ISBN: 3642049567 ISBN-13(EAN): 9783642049569
Издательство: Springer
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Цена: 14635.00 р.
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Описание: This book constitutes the refereed proceedings of the 8th International Conference on Flexible Query Answering Systems, FQAS 2009, held in Roskilde, Denmark, in October 2009.

Reasoning Web: Logical Foundation of Knowledge Graph Construction and Query Answering

Автор: Jeff Z. Pan; Diego Calvanese; Thomas Eiter; Ian Ho
Название: Reasoning Web: Logical Foundation of Knowledge Graph Construction and Query Answering
ISBN: 3319494929 ISBN-13(EAN): 9783319494920
Издательство: Springer
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Цена: 6707.00 р.
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Описание:

This volume contains some lecture notes of the 12th Reasoning Web Summer School (RW 2016), held in Aberdeen, UK, in September 2016.

In 2016, the theme of the school was "Logical Foundation of Knowledge Graph Construction and Query Answering". The notion of knowledge graph has become popular since Google started to use it to improve its search engine in 2012. Inspired by the success of Google, knowledge graphs are gaining momentum in the World Wide Web arena. Recent years have witnessed increasing industrial take-ups by other Internet giants, including Facebook's Open Graph and Microsoft's Satori.

The aim of the lecture note is to provide a logical foundation for constructing and querying knowledge graphs. Our journey starts from the introduction of Knowledge Graph as well as its history, and the construction of knowledge graphs by considering both explicit and implicit author intentions. The book will then cover various topics, including how to revise and reuse ontologies (schema of knowledge graphs) in a safe way, how to combine navigational queries with basic pattern matching queries for knowledge graph, how to setup a environment to do experiments on knowledge graphs, how to deal with inconsistencies and fuzziness in ontologies and knowledge graphs, and how to combine machine learning and machine reasoning for knowledge graphs.

Textual and Visual Information Retrieval Using Query Refinement and Pattern Analysis

Автор: Shaila S. G., Vadivel A.
Название: Textual and Visual Information Retrieval Using Query Refinement and Pattern Analysis
ISBN: 9811347913 ISBN-13(EAN): 9789811347917
Издательство: Springer
Рейтинг:
Цена: 10366.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book offers comprehensive coverage of information retrieval by considering both Text Based Information Retrieval (TBIR) and Content Based Image Retrieval (CBIR), together with new research topics.

Data Management and Query Processing in Semantic Web Databases

Автор: Sven Groppe
Название: Data Management and Query Processing in Semantic Web Databases
ISBN: 3642435491 ISBN-13(EAN): 9783642435492
Издательство: Springer
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Цена: 12196.00 р.
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Описание: Covering a vital aspect of the Semantic Web, itself the subject of virtually exponential increases in research dollars, this volume focuses on high-performance data management and the processing of queries in complex, real-world web applications.

Flexible Query Answering Systems

Автор: Henning Christiansen; H?l?ne Jaudoin; Panagiotis C
Название: Flexible Query Answering Systems
ISBN: 3319596918 ISBN-13(EAN): 9783319596914
Издательство: Springer
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Цена: 6707.00 р.
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Описание: This book constitutes the refereed proceedings of the 12th International Conference on Flexible Query Answering Systems, FQAS 2017, held in London, UK, in June 2017. The 21 full papers presented in this book together with 4 short papers were carefully reviewed and selected from 43 submissions.

Handbook of Research on Innovative Database Query Processing Techniques

Автор: Li Yan
Название: Handbook of Research on Innovative Database Query Processing Techniques
ISBN: 1466687673 ISBN-13(EAN): 9781466687677
Издательство: Mare Nostrum (Eurospan)
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Цена: 48787.00 р.
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Описание: Focuses on database query processing methods, technologies, and applications. Aimed at providing an all-inclusive reference source of technologies and practices in advanced database query systems, this book investigates various techniques, including database and XML queries, spatiotemporal data queries, big data queries, metadata queries, and applications of database query systems.

Understanding Search Engines

Автор: Lewandowski
Название: Understanding Search Engines
ISBN: 3031227883 ISBN-13(EAN): 9783031227882
Издательство: Springer
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Цена: 6707.00 р.
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Описание: This book provides a broad introduction to search engines by integrating five different perspectives on Web search and search engines that are usually dealt with separately: the technical perspective, the user perspective, the internet-based research perspective, the economic perspective, and the societal perspective. After a general introduction to the topic, two foundational chapters present how search tools can cover the Web’s content and how search engines achieve this by crawling and processing the found documents. The next chapter on user behavior covers how people phrase their search queries and interact with search engines. This knowledge builds the foundation for describing how results are ranked and presented. The following three chapters then deal with the economic side of search engines, i.e., Google and the search engine market, search engine optimization (SEO), and the intermingling of organic and sponsored search results. Next, the chapter on search skills presents techniques for improving searches through advanced search interfaces and commands. Following that, the Deep Web and how its content can be accessed is explained. The two subsequent chapters cover ways to improve the quality of search results, while the next chapter describes how to access the Deep Web. Last but not least, the following chapter deals with the societal role of search engines before the final chapter concludes the book with an outlook on the future of Web search. With this book, students and professionals in disciplines like computer science, online marketing, or library and information science will learn how search engines work, what their main shortcomings are at present, and what prospects there are for their further development. The different views presented will help them to understand not only the basic technologies but also the implications the current implementations have concerning economic exploitation and societal impact.

Linked Data

Автор: Sakr
Название: Linked Data
ISBN: 3319735144 ISBN-13(EAN): 9783319735146
Издательство: Springer
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Цена: 19514.00 р.
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Описание:

This book describes efficient and effective techniques for harnessing the power of Linked Data by tackling the various aspects of managing its growing volume: storing, querying, reasoning, provenance management and benchmarking.

To this end, Chapter 1 introduces the main concepts of the Semantic Web and Linked Data and provides a roadmap for the book. Next, Chapter 2 briefly presents the basic concepts underpinning Linked Data technologies that are discussed in the book. Chapter 3 then offers an overview of various techniques and systems for centrally querying RDF datasets, and Chapter 4 outlines various techniques and systems for efficiently querying large RDF datasets in distributed environments. Subsequently, Chapter 5 explores how streaming requirements are addressed in current, state-of-the-art RDF stream data processing. Chapter 6 covers performance and scaling issues of distributed RDF reasoning systems, while Chapter 7 details benchmarks for RDF query engines and instance matching systems. Chapter 8 addresses the provenance management for Linked Data and presents the different provenance models developed. Lastly, Chapter 9 offers a brief summary, highlighting and providing insights into some of the open challenges and research directions.

Providing an updated overview of methods, technologies and systems related to Linked Data this book is mainly intended for students and researchers who are interested in the Linked Data domain. It enables students to gain an understanding of the foundations and underpinning technologies and standards for Linked Data, while researchers benefit from the in-depth coverage of the emerging and ongoing advances in Linked Data storing, querying, reasoning, and provenance management systems. Further, it serves as a starting point to tackle the next research challenges in the domain of Linked Data management.

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