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001 978-3-031-30387-6
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005 20240730165337.0
007 cr nn 008mamaa
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020 _a9783031303876
_9978-3-031-30387-6
024 7 _a10.1007/978-3-031-30387-6
_2doi
050 4 _aQ334-342
050 4 _aTA347.A78
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
072 7 _aUYQ
_2thema
082 0 4 _a006.3
_223
100 1 _aPaulheim, Heiko.
_eauthor.
_0(orcid)
_10000-0003-4386-8195
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_988514
245 1 0 _aEmbedding Knowledge Graphs with RDF2vec
_h[electronic resource] /
_cby Heiko Paulheim, Petar Ristoski, Jan Portisch.
250 _a1st ed. 2023.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2023.
300 _aIX, 158 p. 43 illus., 27 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSynthesis Lectures on Data, Semantics, and Knowledge,
_x2691-2031
505 0 _aIntroduction -- From Word Embeddings to Knowledge Graph Embeddings -- RDF2vec Variants and Representations -- Tweaking RDF2vec -- RDF2vec at Scale -- Example Applications beyond Node Classification -- Link Prediction in Knowledge Graphs (and its Relation to RDF2vec) -- Future Directions for RDF2vec.
520 _aThis book explains the ideas behind one of the most well-known methods for knowledge graph embedding of transformations to compute vector representations from a graph, known as RDF2vec. The authors describe its usage in practice, from reusing pre-trained knowledge graph embeddings to training tailored vectors for a knowledge graph at hand. They also demonstrate different extensions of RDF2vec and how they affect not only the downstream performance, but also the expressivity of the resulting vector representation, and analyze the resulting vector spaces and the semantic properties they encode.
650 0 _aArtificial intelligence.
_93407
650 0 _aData mining.
_93907
650 0 _aExpert systems (Computer science).
_93392
650 1 4 _aArtificial Intelligence.
_93407
650 2 4 _aData Mining and Knowledge Discovery.
_988517
650 2 4 _aKnowledge Based Systems.
_979172
700 1 _aRistoski, Petar.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_988519
700 1 _aPortisch, Jan.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_988521
710 2 _aSpringerLink (Online service)
_988524
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031303869
776 0 8 _iPrinted edition:
_z9783031303883
776 0 8 _iPrinted edition:
_z9783031303890
830 0 _aSynthesis Lectures on Data, Semantics, and Knowledge,
_x2691-2031
_988526
856 4 0 _uhttps://doi.org/10.1007/978-3-031-30387-6
912 _aZDB-2-SXSC
942 _cEBK
999 _c86261
_d86261