000			03769nam a22004335i 4500
999			_c387910 _d387910
001			387910
003			ES-MaUEC
005			20230504101251.0
006			a||||fo|||| 00| 0
007			cr nn 008mamaa
008			230504s2015 sz | s |||| 0|eng d
020			_a9783031794681
024	7		_a10.1007/978-3-031-79468-1 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQA76.9.D343 _b2015 EB
100	1		_aChristophides, Vassilis _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9688355
245	1	0	_aEntity Resolution in the Web of Data _cby Vassilis Christophides, Vasilis Efthymiou, Kostas Stefanidis
250			_a1st edition 2015
264		1	_aCham _bSpringer International Publishing _c2015
300			_a1 recurso en línea (XV, 106 páginas)
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aSynthesis Lectures on Data Semantics and Knowledge _x2691-2031
505	0		_aList of Figures -- List of Tables -- Preface -- Acknowledgments -- Web of Data: Describing and Linking Entities -- Matching and Resolving Entities -- Blocking -- Iterative Entity Resolution -- Experimental Evaluation of Blocking Algorithms -- Conclusions -- Bibliography -- Authors' Biographies .
520			_aIn recent years, several knowledge bases have been built to enable large-scale knowledge sharing, but also an entity-centric Web search, mixing both structured data and text querying. These knowledge bases offer machine-readable descriptions of real-world entities, e.g., persons, places, published on the Web as Linked Data. However, due to the different information extraction tools and curation policies employed by knowledge bases, multiple, complementary and sometimes conflicting descriptions of the same real-world entities may be provided. Entity resolution aims to identify different descriptions that refer to the same entity appearing either within or across knowledge bases. The objective of this book is to present the new entity resolution challenges stemming from the openness of the Web of data in describing entities by an unbounded number of knowledge bases, the semantic and structural diversity of the descriptions provided across domains even for the same real-world entities, as well as the autonomy of knowledge bases in terms of adopted processes for creating and curating entity descriptions. The scale, diversity, and graph structuring of entity descriptions in the Web of data essentially challenge how two descriptions can be effectively compared for similarity, but also how resolution algorithms can efficiently avoid examining pairwise all descriptions. The book covers a wide spectrum of entity resolution issues at the Web scale, including basic concepts and data structures, main resolution tasks and workflows, as well as state-of-the-art algorithmic techniques and experimental trade-offs.
988			_aSynthesis Collection of Technology_2015
650		7	_2embne _9162648 _aData mining
650		7	_2embne _9150569 _aSistemas de gestión de bases de datos
700	1		_aEfthymiou, Vasilis _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9688356
700	1		_aStefanidis, Kostas _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9688357
776	0	8	_iPrinted edition: _z9783031794674
776	0	8	_iPrinted edition: _z9783031794698
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-79468-1 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b05/2023 _dz _eIG _zSI