Entity-Oriented Search PDF Download

Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Entity-Oriented Search PDF full book. Access full book title Entity-Oriented Search by Krisztian Balog. Download full books in PDF and EPUB format.

Entity-Oriented Search

Entity-Oriented Search PDF Author: Krisztian Balog
Publisher: Springer
ISBN: 3319939351
Category : Computers
Languages : en
Pages : 358

Book Description
This open access book covers all facets of entity-oriented search—where “search” can be interpreted in the broadest sense of information access—from a unified point of view, and provides a coherent and comprehensive overview of the state of the art. It represents the first synthesis of research in this broad and rapidly developing area. Selected topics are discussed in-depth, the goal being to establish fundamental techniques and methods as a basis for future research and development. Additional topics are treated at a survey level only, containing numerous pointers to the relevant literature. A roadmap for future research, based on open issues and challenges identified along the way, rounds out the book. The book is divided into three main parts, sandwiched between introductory and concluding chapters. The first two chapters introduce readers to the basic concepts, provide an overview of entity-oriented search tasks, and present the various types and sources of data that will be used throughout the book. Part I deals with the core task of entity ranking: given a textual query, possibly enriched with additional elements or structural hints, return a ranked list of entities. This core task is examined in a number of different variants, using both structured and unstructured data collections, and numerous query formulations. In turn, Part II is devoted to the role of entities in bridging unstructured and structured data. Part III explores how entities can enable search engines to understand the concepts, meaning, and intent behind the query that the user enters into the search box, and how they can provide rich and focused responses (as opposed to merely a list of documents)—a process known as semantic search. The final chapter concludes the book by discussing the limitations of current approaches, and suggesting directions for future research. Researchers and graduate students are the primary target audience of this book. A general background in information retrieval is sufficient to follow the material, including an understanding of basic probability and statistics concepts as well as a basic knowledge of machine learning concepts and supervised learning algorithms.

Entity-Oriented Search

Entity-Oriented Search PDF Author: Krisztian Balog
Publisher: Springer
ISBN: 3319939351
Category : Computers
Languages : en
Pages : 358

Book Description
This open access book covers all facets of entity-oriented search—where “search” can be interpreted in the broadest sense of information access—from a unified point of view, and provides a coherent and comprehensive overview of the state of the art. It represents the first synthesis of research in this broad and rapidly developing area. Selected topics are discussed in-depth, the goal being to establish fundamental techniques and methods as a basis for future research and development. Additional topics are treated at a survey level only, containing numerous pointers to the relevant literature. A roadmap for future research, based on open issues and challenges identified along the way, rounds out the book. The book is divided into three main parts, sandwiched between introductory and concluding chapters. The first two chapters introduce readers to the basic concepts, provide an overview of entity-oriented search tasks, and present the various types and sources of data that will be used throughout the book. Part I deals with the core task of entity ranking: given a textual query, possibly enriched with additional elements or structural hints, return a ranked list of entities. This core task is examined in a number of different variants, using both structured and unstructured data collections, and numerous query formulations. In turn, Part II is devoted to the role of entities in bridging unstructured and structured data. Part III explores how entities can enable search engines to understand the concepts, meaning, and intent behind the query that the user enters into the search box, and how they can provide rich and focused responses (as opposed to merely a list of documents)—a process known as semantic search. The final chapter concludes the book by discussing the limitations of current approaches, and suggesting directions for future research. Researchers and graduate students are the primary target audience of this book. A general background in information retrieval is sufficient to follow the material, including an understanding of basic probability and statistics concepts as well as a basic knowledge of machine learning concepts and supervised learning algorithms.

Entity-Oriented Search

Entity-Oriented Search PDF Author: Krisztian Balog
Publisher:
ISBN: 9781013273605
Category : Computers
Languages : en
Pages : 356

Book Description
This open access book covers all facets of entity-oriented search-where "search" can be interpreted in the broadest sense of information access-from a unified point of view, and provides a coherent and comprehensive overview of the state of the art. It represents the first synthesis of research in this broad and rapidly developing area. Selected topics are discussed in-depth, the goal being to establish fundamental techniques and methods as a basis for future research and development. Additional topics are treated at a survey level only, containing numerous pointers to the relevant literature. A roadmap for future research, based on open issues and challenges identified along the way, rounds out the book. The book is divided into three main parts, sandwiched between introductory and concluding chapters. The first two chapters introduce readers to the basic concepts, provide an overview of entity-oriented search tasks, and present the various types and sources of data that will be used throughout the book. Part I deals with the core task of entity ranking: given a textual query, possibly enriched with additional elements or structural hints, return a ranked list of entities. This core task is examined in a number of different variants, using both structured and unstructured data collections, and numerous query formulations. In turn, Part II is devoted to the role of entities in bridging unstructured and structured data. Part III explores how entities can enable search engines to understand the concepts, meaning, and intent behind the query that the user enters into the search box, and how they can provide rich and focused responses (as opposed to merely a list of documents)-a process known as semantic search. The final chapter concludes the book by discussing the limitations of current approaches, and suggesting directions for future research. Researchers and graduate students are the primary target audience of this book. A general background in information retrieval is sufficient to follow the material, including an understanding of basic probability and statistics concepts as well as a basic knowledge of machine learning concepts and supervised learning algorithms. This work was published by Saint Philip Street Press pursuant to a Creative Commons license permitting commercial use. All rights not granted by the work's license are retained by the author or authors.

Entity Resolution and Information Quality

Entity Resolution and Information Quality PDF Author: John R. Talburt
Publisher: Elsevier
ISBN: 9780123819734
Category : Computers
Languages : en
Pages : 256

Book Description
Entity Resolution and Information Quality presents topics and definitions, and clarifies confusing terminologies regarding entity resolution and information quality. It takes a very wide view of IQ, including its six-domain framework and the skills formed by the International Association for Information and Data Quality {IAIDQ). The book includes chapters that cover the principles of entity resolution and the principles of Information Quality, in addition to their concepts and terminology. It also discusses the Fellegi-Sunter theory of record linkage, the Stanford Entity Resolution Framework, and the Algebraic Model for Entity Resolution, which are the major theoretical models that support Entity Resolution. In relation to this, the book briefly discusses entity-based data integration (EBDI) and its model, which serve as an extension of the Algebraic Model for Entity Resolution. There is also an explanation of how the three commercial ER systems operate and a description of the non-commercial open-source system known as OYSTER. The book concludes by discussing trends in entity resolution research and practice. Students taking IT courses and IT professionals will find this book invaluable. First authoritative reference explaining entity resolution and how to use it effectively Provides practical system design advice to help you get a competitive advantage Includes a companion site with synthetic customer data for applicatory exercises, and access to a Java-based Entity Resolution program.

OOER '95 Object-Oriented and Entity-Relationship Modeling

OOER '95 Object-Oriented and Entity-Relationship Modeling PDF Author: M. Papazoglou
Publisher: Springer Science & Business Media
ISBN: 9783540606727
Category : Computers
Languages : en
Pages : 476

Book Description
This volume constitutes the refereed proceedings of the 14th International Conference on Object-Oriented and Entity-Relationship Modelling, OOER '95, held in Gold Coast, Australia in December 1995. The 36 papers presented together with an invited presentation by Gio Wiederhold were selected from a total of 120 submissions. The papers are organized in sections on object design and modelling, models and languages, reverse engineering and schema transformation, behavioral modelling, non-traditional modelling, theoretical foundations, business re-engineering, integrated approaches, cooperative work modelling, temporal data modelling, federated systems design, and industrial stream papers

Beginning Entity Framework Core 2.0

Beginning Entity Framework Core 2.0 PDF Author: Derek J. Rouleau
Publisher: Apress
ISBN: 1484233751
Category : Computers
Languages : en
Pages : 345

Book Description
Use the valuable Entity Framework Core 2.0 tool in ASP.NET and the .NET Framework to eliminate the tedium around accessing databases and the data they contain. Entity Framework Core 2.0 greatly simplifies access to relational databases such as SQL Server that are commonly deployed in corporate settings. By eliminating tedious data access code that developers are otherwise forced to use, Entity Framework Core 2.0 enables you to work directly with the data in a database through domain-specific objects and methods. Beginning Entity Framework Core 2.0 is a carefully designed tutorial. Throughout the book you will encounter examples that you can use in your day-to-day coding, and you will build a solid foundation on which to create database-backed applications. If you are looking for a way to get started without getting buried under details you are only going to forget, then this is the book for you. The author aims to leave you comfortably able to connect to, access, modify, and delete data from a relational database. The book provides a clear, straightforward approach and includes code that you can look back at months later and understand. What You'll Learn Study easy-to-follow, real-world examples you can use every day Focus on DbContext and the Database First approach Understand how to work with single and multiple tables Use the LINQ query language to manipulate data Who This Book Is For C# and ASP.NET programmers looking for an easier way of accessing data in a relational database than writing in SQL—a way that meshes better into object-oriented application development

Advances in Information Retrieval

Advances in Information Retrieval PDF Author: Gabriella Pasi
Publisher: Springer
ISBN: 3319769413
Category : Computers
Languages : en
Pages : 852

Book Description
This book constitutes the refereed proceedings of the 40th European Conference on IR Research, ECIR 2018, held in Grenoble, France, in March 2018. The 39 full papers and 39 short papers presented together with 6 demos, 5 workshops and 3 tutorials, were carefully reviewed and selected from 303 submissions. Accepted papers cover the state of the art in information retrieval including topics such as: topic modeling, deep learning, evaluation, user behavior, document representation, recommendation systems, retrieval methods, learning and classication, and micro-blogs.

Programming Entity Framework

Programming Entity Framework PDF Author: Julia Lerman
Publisher: "O'Reilly Media, Inc."
ISBN: 0596555415
Category : Computers
Languages : en
Pages : 832

Book Description
If you use Entity Framework in Visual Studio 2008 and .NET 3.5, this is the book you want. Programming Entity Framework, 1st Edition offers experienced developers a thorough introduction to Microsoft's core framework for modeling and interacting with data in .NET applications. This hands-on tour provides a deep understanding of Entity Framework's architecture and APIs, and explains how to use the framework in a variety of applications built with Visual Studio 2008 and .NET 3.5. From the Entity Data Model (EDM) and Object Services to EntityClient and the Metadata Workspace, this highly acclaimed first edition covers it all. Understand the core concepts you need to make the best use of the Entity Framework (EF) in your applications Learn to query your data, using either LINQ to Entities or Entity SQL Create Windows Forms, WPF, and ASP.NET applications Build ASMX web services and WCF services Use Object Services to work directly with your entity objects Delve into model customization, relationship management, change tracking, data concurrency, and more One important note: while many of the lessons from this book will continue to be valuable as you move to .NET 4, the thoroughly revised second edition of Programming Entity Framework (August 2010) specifically targets Visual Studio 2010 and .NET 4 -- where there have been many advancements and additions to the framework.

Entity-Relationship Modeling

Entity-Relationship Modeling PDF Author: Bernhard Thalheim
Publisher: Springer Science & Business Media
ISBN: 3662040581
Category : Computers
Languages : en
Pages : 640

Book Description
This book is a comprehensive presentation of entity-relationship (ER) modeling with regard to an integrated development and modeling of database applications. It comprehensively surveys the achievements of research in this field and deals with the ER model and its extensions. In addition, the book presents techniques for the translation of the ER model into classical database models and languages, such as relational, hierarchical, and network models and languages, as well as into object-oriented models.

Experimental IR Meets Multilinguality, Multimodality, and Interaction

Experimental IR Meets Multilinguality, Multimodality, and Interaction PDF Author: Norbert Fuhr
Publisher: Springer
ISBN: 3319445642
Category : Computers
Languages : en
Pages : 380

Book Description
This book constitutes the refereed proceedings of the 7th International Conference of the CLEF Initiative, CLEF 2016, held in Toulouse, France, in September 2016. The 10 full papers and 8 short papers presented together with 5 best of the labs papers were carefully reviewed and selected from 36 submissions. In addition to these talks, this volume contains the results of 7 benchmarking labs reporting their year long activities in overview talks and lab sessions. The papers address all aspects of information access in any modality and language and cover a broad rangeof topics in the fields of multilingual and multimodal information access evaluation.

Advances in Information Retrieval

Advances in Information Retrieval PDF Author: Joemon M. Jose
Publisher: Springer Nature
ISBN: 3030454428
Category : Computers
Languages : en
Pages : 709

Book Description
This two-volume set LNCS 12035 and 12036 constitutes the refereed proceedings of the 42nd European Conference on IR Research, ECIR 2020, held in Lisbon, Portugal, in April 2020.* The 55 full papers presented together with 8 reproducibility papers, 46 short papers, 10 demonstration papers, 12 invited CLEF papers, 7 doctoral consortium papers, 4 workshop papers, and 3 tutorials were carefully reviewed and selected from 457 submissions. They were organized in topical sections named: Part I: deep learning I; entities; evaluation; recommendation; information extraction; deep learning II; retrieval; multimedia; deep learning III; queries; IR – general; question answering, prediction, and bias; and deep learning IV. Part II: reproducibility papers; short papers; demonstration papers; CLEF organizers lab track; doctoral consortium papers; workshops; and tutorials. *Due to the COVID-19 pandemic, this conference was held virtually.