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008			230411s2020 sz | s |||| 0|eng d
020			_a9783031023224
024	7		_a10.1007/978-3-031-02322-4 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQA76.9.N38 _b2020 EB
100	1		_aFerreira, Anderson A. _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9688050
245	1	0	_aAutomatic Disambiguation of Author Names in Bibliographic Repositories _cby Anderson A. Ferreira, Marcos André Gonçalves, Alberto H. F. Laender
250			_a1st edition 2020
264		1	_aCham _bSpringer International Publishing _c2020
300			_a1 recurso en línea (XX, 126 páginas)
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aSynthesis Lectures on Information Concepts Retrieval and Services _x1947-9468
505	0		_aPreface -- Introduction -- The Author Name Disambiguation Task -- Foundations -- Taxonomy -- Heuristic-Based Hierarchical Clustering Disambiguation -- SAND: Self-Training Author Name Disambiguator -- Incremental Author Name Disambiguation -- Additional Methods for Author Name Disambiguation -- Bibliography -- Authors' Biographies.
520			_aThis 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.
988			_aSynthesis Collection of Technology_2020
650		7	_2embne _9158738 _aProceso en lenguaje natural (Informática)
650		7	_2embne _9669583 _aAnálisis Cluster
650		7	_2embne _9688051 _aAmbigüedad
700	1		_aGonçalves, Marcos André _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9686363
700	1		_aLaender, Alberto H. F., _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9688052 _d1951-
776	0	8	_iPrinted edition: _z9783031002298
776	0	8	_iPrinted edition: _z9783031011948
776	0	8	_iPrinted edition: _z9783031034503
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-02322-4 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b04/2023 _dz _eIG _zSI