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Automatic Disambiguation of Author Names in Bibliographic Repositories, Alberto H. F. Laender, Anderson A. Ferreira, Marcos Andre Goncalves


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Автор: Alberto H. F. Laender, Anderson A. Ferreira, Marcos Andre Goncalves
Название:  Automatic Disambiguation of Author Names in Bibliographic Repositories
ISBN: 9781681738598
Издательство: Mare Nostrum (Eurospan)
Классификация:


ISBN-10: 1681738597
Обложка/Формат: Hardcover
Страницы: 146
Вес: 0.47 кг.
Дата издания: 30.09.2020
Серия: Synthesis lectures on information concepts, retrieval, and services
Язык: English
Размер: 23.50 x 19.10 x 0.97 cm
Читательская аудитория: Professional and scholarly
Ключевые слова: Computer science,Information retrieval,Natural language & machine translation, COMPUTERS / Information Technology,COMPUTERS / Natural Language Processing,COMPUTERS / System Administration / Storage & Retrieval
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Поставляется из: Англии
Описание: This book deals with a hard problem that is inherent to human language: ambiguity.

In particular, we focus on author name ambiguity, a type of ambiguity that exists in digital bibliographic repositories, which occurs when an author publishes works under distinct names or distinct authors publish works under similar names. This problem may be caused by a number of reasons, including the lack of standards and common practices, and the decentralized generation of bibliographic content. As a consequence, the quality of the main services of digital bibliographic repositories such as search, browsing, and recommendation may be severely affected by author name ambiguity. The focal point of the book is on automatic methods, since manual solutions do not scale to the size of the current repositories or the speed in which they are updated. Accordingly, we provide an ample view on the problem of automatic disambiguation of author names, summarizing the results of more than a decade of research on this topic conducted by our group, which were reported in more than a dozen publications that received over 900 citations so far, according to Google Scholar. We start by discussing its motivational issues (Chapter 1). Next, we formally define the author name disambiguation task (Chapter 2) and use this formalization to provide a brief, taxonomically organized, overview of the literature on the topic (Chapter 3). We then organize, summarize and integrate the efforts of our own group on developing solutions for the problem that have historically produced state-of-the-art (by the time of their proposals) results in terms of the quality of the disambiguation results. Thus, Chapter 4 covers HHC - Heuristic-based Clustering, an author name disambiguation method that is based on two specific real-world assumptions regarding scientific authorship. Then, Chapter 5 describes SAND - Self-training Author Name Disambiguator and Chapter 6 presents two incremental author name disambiguation methods, namely INDi - Incremental Unsupervised Name Disambiguation and INC- Incremental Nearest Cluster. Finally, Chapter 7 provides an overview of recent author name disambiguation methods that address new specific approaches such as graph-based representations, alternative predefined similarity functions, visualization facilities and approaches based on artificial neural networks. The chapters are followed by three appendices that cover, respectively: (i) a pattern matching function for comparing proper names and used by some of the methods addressed in this book; (ii) a tool for generating synthetic collections of citation records for distinct experimental tasks; and (iii) a number of datasets commonly used to evaluate author name disambiguation methods. In summary, the book organizes a large body of knowledge and work in the area of author name disambiguation in the last decade, hoping to consolidate a solid basis for future developments in the field.


Theories and Methods in Data Science Librarianship

Автор: Jeannette Ekstrom, Lorna Wildgaard
Название: Theories and Methods in Data Science Librarianship
ISBN: 1783304081 ISBN-13(EAN): 9781783304080
Издательство: Bookpoint
Рейтинг:
Цена: 68580.00 T
Наличие на складе: Невозможна поставка.
Описание: This book is a practical guide to how to get started as a data librarian with little time, no money but great enthusiasm. Theories and Methods in Data Science Librarianship describes and extends the role of the data science librarian through real-world cases and proposes several methods employed by public and academic libraries to develop and further educate the librarian. It is a collection of the best knowledge from published literature and experts in one place, creating an easy to read overview. The perspectives offered in the book are critical, in that they are reflexive about the role of the librarian and consider challenges and multidimensionality of the librarians profile. This multidimensionality requires theories that address data services as research objects (data-management, definition of concepts, researchers as individual agents, accessibility, funding, profile and education). The book covers: how to get started as a data librarian the history and the motivations of the data science librarianship community how data librarians can close the data literacy divide library policy and data science untangling the jungle of copyright and laws surrounding data use and data protection data ethics how library leaders can support and develop data science librarianship managing data science projects and services on no budget inspiring data science projects at the public library library carpentry skills and teaching how to identify user needs and develop relevant data science services. The book will be essential reading for librarians and information specialists working working with data related tasks including, research librarians, embedded librarians, metadata librarians, cataloguers, public librarians mediating the possibilities in data for library users and students of library and information science. It will also be of interest to those working in archives, museums and other cultural heritage institutions.

Theories and Methods in Data Science Librarianship

Автор: Jeannette Ekstrom, Lorna Wildgaard
Название: Theories and Methods in Data Science Librarianship
ISBN: 178330409X ISBN-13(EAN): 9781783304097
Издательство: Bookpoint
Рейтинг:
Цена: 137220.00 T
Наличие на складе: Невозможна поставка.
Описание: This book is a practical guide to how to get started as a data librarian with little time, no money but great enthusiasm. Theories and Methods in Data Science Librarianship describes and extends the role of the data science librarian through real-world cases and proposes several methods employed by public and academic libraries to develop and further educate the librarian. It is a collection of the best knowledge from published literature and experts in one place, creating an easy to read overview. The perspectives offered in the book are critical, in that they are reflexive about the role of the librarian and consider challenges and multidimensionality of the librarians profile. This multidimensionality requires theories that address data services as research objects (data-management, definition of concepts, researchers as individual agents, accessibility, funding, profile and education). The book covers: how to get started as a data librarian the history and the motivations of the data science librarianship community how data librarians can close the data literacy divide library policy and data science untangling the jungle of copyright and laws surrounding data use and data protection data ethics how library leaders can support and develop data science librarianship managing data science projects and services on no budget inspiring data science projects at the public library library carpentry skills and teaching how to identify user needs and develop relevant data science services. The book will be essential reading for librarians and information specialists working working with data related tasks including, research librarians, embedded librarians, metadata librarians, cataloguers, public librarians mediating the possibilities in data for library users and students of library and information science. It will also be of interest to those working in archives, museums and other cultural heritage institutions.

Trustworthy Policies for Distributed Repositories

Автор: Reagan W. Moore, Hao Xu, Mike Conway, Arcot Rajasekar, Jon Crabtree, Helen Tibbo
Название: Trustworthy Policies for Distributed Repositories
ISBN: 1627058850 ISBN-13(EAN): 9781627058858
Издательство: Mare Nostrum (Eurospan)
Рейтинг:
Цена: 56370.00 T
Наличие на складе: Невозможна поставка.
Описание: A trustworthy repository provides assurance in the form of management documents, event logs, and audit trails that digital objects are being managed correctly. The assurance includes plans for the sustainability of the repository, the accession of digital records, the management of technology evolution, and the mitigation of the risk of data loss. A detailed assessment is provided by the ISO-16363:2012 standard, "Space data and information transfer systems--Audit and certification of trustworthy digital repositories." This book examines whether the ISO specification for trustworthiness can be enforced by computer actionable policies. An implementation of the policies is provided and the policies are sorted into categories for procedures to manage externally generated documents, specify repository parameters, specify preservation metadata attributes, specify audit mechanisms for all preservation actions, specify control of preservation operations, and control preservation properties as technology evolves. An application of the resulting procedures is made to enforce trustworthiness within National Science Foundation data management plans.

Social Tagging in a Linked Data Environment

Автор: Diane Rasmussen Pennington, Louise Spiteri
Название: Social Tagging in a Linked Data Environment
ISBN: 1783303395 ISBN-13(EAN): 9781783303397
Издательство: Facet
Рейтинг:
Цена: 218240.00 T
Наличие на складе: Невозможна поставка.
Описание: This book, representing researchers and practitioners across different information professions, will explore how social tags can link content across a variety of environments.

Automatic Disambiguation of Author Names in Bibliographic Repositories

Автор: Ferreira Anderson A., Gonзalves Marcos Andrй, Laender Alberto H. F.
Название: Automatic Disambiguation of Author Names in Bibliographic Repositories
ISBN: 1681738570 ISBN-13(EAN): 9781681738574
Издательство: Mare Nostrum (Eurospan)
Рейтинг:
Цена: 48050.00 T
Наличие на складе: Нет в наличии.
Описание: This book deals with a hard problem that is inherent to human language: ambiguity.

In particular, we focus on author name ambiguity, a type of ambiguity that exists in digital bibliographic repositories, which occurs when an author publishes works under distinct names or distinct authors publish works under similar names. This problem may be caused by a number of reasons, including the lack of standards and common practices, and the decentralized generation of bibliographic content. As a consequence, the quality of the main services of digital bibliographic repositories such as search, browsing, and recommendation may be severely affected by author name ambiguity. The focal point of the book is on automatic methods, since manual solutions do not scale to the size of the current repositories or the speed in which they are updated. Accordingly, we provide an ample view on the problem of automatic disambiguation of author names, summarizing the results of more than a decade of research on this topic conducted by our group, which were reported in more than a dozen publications that received over 900 citations so far, according to Google Scholar. We start by discussing its motivational issues (Chapter 1). Next, we formally define the author name disambiguation task (Chapter 2) and use this formalization to provide a brief, taxonomically organized, overview of the literature on the topic (Chapter 3). We then organize, summarize and integrate the efforts of our own group on developing solutions for the problem that have historically produced state-of-the-art (by the time of their proposals) results in terms of the quality of the disambiguation results. Thus, Chapter 4 covers HHC - Heuristic-based Clustering, an author name disambiguation method that is based on two specific real-world assumptions regarding scientific authorship. Then, Chapter 5 describes SAND - Self-training Author Name Disambiguator and Chapter 6 presents two incremental author name disambiguation methods, namely INDi - Incremental Unsupervised Name Disambiguation and INC- Incremental Nearest Cluster. Finally, Chapter 7 provides an overview of recent author name disambiguation methods that address new specific approaches such as graph-based representations, alternative predefined similarity functions, visualization facilities and approaches based on artificial neural networks. The chapters are followed by three appendices that cover, respectively: (i) a pattern matching function for comparing proper names and used by some of the methods addressed in this book; (ii) a tool for generating synthetic collections of citation records for distinct experimental tasks; and (iii) a number of datasets commonly used to evaluate author name disambiguation methods. In summary, the book organizes a large body of knowledge and work in the area of author name disambiguation in the last decade, hoping to consolidate a solid basis for future developments in the field.

Social Tagging for Linking Data Across Environments

Автор: Pennington Diane
Название: Social Tagging for Linking Data Across Environments
ISBN: 1783303387 ISBN-13(EAN): 9781783303380
Издательство: Facet
Рейтинг:
Цена: 109120.00 T
Наличие на складе: Нет в наличии.
Описание: This book, representing researchers and practitioners across different information professions, will explore how social tags can link content across a variety of environments.

Open heritage data : an introduction to research, publishing and programming with open data in the heritage sector

Автор: Henriette Roued-Cunliffe
Название: Open heritage data : an introduction to research, publishing and programming with open data in the heritage sector
ISBN: 178330359X ISBN-13(EAN): 9781783303595
Издательство: Facet
Рейтинг:
Цена: 95040.00 T
Наличие на складе: Невозможна поставка.
Описание: This book combines current research in open data practices in the heritage sector with technical step-by-step guides on how to work with heritage data for visualisation, mapping, and mining.

Open Heritage Data: Publishing and using open data for visualization, mapping, and mining in cultural heritage institutions

Автор: Henriette Roued-Cunliffe
Название: Open Heritage Data: Publishing and using open data for visualization, mapping, and mining in cultural heritage institutions
ISBN: 1783303603 ISBN-13(EAN): 9781783303601
Издательство: Facet
Рейтинг:
Цена: 190080.00 T
Наличие на складе: Невозможна поставка.
Описание: This book combines current research in open data practices in the heritage sector with technical step-by-step guides on how to work with heritage data for visualisation, mapping, and mining.


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