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020 _a9783031794681
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024 7 _a10.1007/978-3-031-79468-1
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072 7 _aMAT000000
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082 0 4 _a510
_223
100 1 _aChristophides, Vassilis.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_982260
245 1 0 _aEntity Resolution in the Web of Data
_h[electronic resource] /
_cby Vassilis Christophides, Vasilis Efthymiou, Kostas Stefanidis.
250 _a1st ed. 2015.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2015.
300 _aXV, 106 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
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347 _atext file
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490 1 _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.
650 0 _aMathematics.
_911584
650 0 _aInternet programming.
_935503
650 0 _aApplication software.
_982261
650 0 _aComputer networks .
_931572
650 0 _aOntology.
_95277
650 1 4 _aMathematics.
_911584
650 2 4 _aWeb Development.
_935505
650 2 4 _aComputer and Information Systems Applications.
_982262
650 2 4 _aComputer Communication Networks.
_982263
650 2 4 _aOntology.
_95277
700 1 _aEfthymiou, Vasilis.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_982264
700 1 _aStefanidis, Kostas.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_982265
710 2 _aSpringerLink (Online service)
_982266
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031794674
776 0 8 _iPrinted edition:
_z9783031794698
830 0 _aSynthesis Lectures on Data, Semantics, and Knowledge,
_x2691-2031
_982267
856 4 0 _uhttps://doi.org/10.1007/978-3-031-79468-1
912 _aZDB-2-SXSC
942 _cEBK
999 _c85330
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