000 04599cam a22005171i 4500
001 0000031261
003 OCoLC
005 20230921135901.0
006 m o d
007 cr cnu|||unuuu
008 180110s2017 xxm ob u000 0 eng d
019 _a1026609800
020 _a9783319722092
_q(electronic bk.)
020 _a3319722093
_q(electronic bk.)
020 _z9783319722085 :
_c$35.55
050 4 _aZA4240
072 7 _aLAN
_x025000
_2bisacsh
082 0 4 _a025.042/7
_223
100 1 _aAngermann, Heiko
_0http://id.loc.gov/authorities/names/no2018042088,
_eauthor.
245 1 0 _aTaxonomy matching using background knowledge :
_blinked data, semantic web and heterogeneous repositories /
_cHeiko Angermann, Naeem Ramzan.
260 _aCham, Switzerland :
_bSpringer,
_c2017.
264 1 _aCham, Switzerland :
_bSpringer,
_c[2017].
300 _a1 online resource (xiv, 103 pages) :
_billustrations.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
340 _gpolychrome
_2rdacc
_0http://rdaregistry.info/termList/RDAColourContent/1003
504 _aIncludes bibliographical references.
505 0 _aPart I: Introduction to Taxonomy Matching -- Background Taxonomy Matching -- Background of Taxonomic Heterogeneity.- Part II: Recent Matching Techniques, Algorithms, Systems, Evaluations, and Datasets -- Matching Techniques, Algorithms, and Systems -- Matching Evaluations and Datasets.- Part III: Taxonomy Heterogeneity Applications -- Related Areas.- Part IV: Conclusions -- Conclusions.
506 _aAvailable to OhioLINK libraries.
520 _aThis important text/reference presents a comprehensive review of techniques for taxonomy matching, discussing matching algorithms, analyzing matching systems, and comparing matching evaluation approaches. Different methods are investigated in accordance with the criteria of the Ontology Alignment Evaluation Initiative (OAEI). The text also highlights promising developments and innovative guidelines, to further motivate researchers and practitioners in the field. Topics and features: Discusses the fundamentals and the latest developments in taxonomy matching, including the related fields of ontology matching and schema matching Reviews next-generation matching strategies, matching algorithms, matching systems, and OAEI campaigns, as well as alternative evaluations Examines how the latest techniques make use of different sources of background knowledge to enable precise matching between repositories Describes the theoretical background, state-of-the-art research, and practical real-world applications Covers the fields of dynamic taxonomies, personalized directories, catalog segmentation, and recommender systems This stimulating book is an essential reference for practitioners engaged in data science and business intelligence, and for researchers specializing in taxonomy matching and semantic similarity assessment. The work is also suitable as a supplementary text for advanced undergraduate and postgraduate courses on information and metadata management. Dr. Heiko Angermann is an e-commerce, enterprise content management, and omni/multi-channel consultant, and the Head of Project Management at an e-commerce consulting house located in Nuremberg, Germany. Prof. Naeem Ramzan is a full Professor of Computing Engineering in the School of Engineering and Computing at the University of West of Scotland, Paisley, UK. His other publications include the successful Springer title Social Media Retrieval.
650 0 _aSemantic Web
_0http://id.loc.gov/authorities/subjects/sh2002000569.
650 0 _aLinked data
_0http://id.loc.gov/authorities/subjects/sh2013002090.
650 0 _aInformation resources management
_0http://id.loc.gov/authorities/subjects/sh85066147.
655 4 _aElectronic books.
700 1 _aRamzan, Naeem
_0http://id.loc.gov/authorities/names/nb2013004150,
_eauthor.
710 2 _aOhio Library and Information Network
_0http://id.loc.gov/authorities/names/no95058981.
776 0 8 _iPrinted edition
_z9783319722085.
856 4 0 _3OhioLINK
_zConnect to resource
_uhttp://rave.ohiolink.edu/ebooks/ebc/9783319722092
856 4 0 _3SpringerLink
_zConnect to resource
_uhttp://link.springer.com/10.1007/978-3-319-72209-2
856 4 0 _3SpringerLink
_zConnect to resource (off-campus)
_uhttp://proxy.ohiolink.edu:9099/login?url=http://link.springer.com/10.1007/978-3-319-72209-2
908 _a190830
913 _aN
989 7 _a20230822095114.0
999 _c13243
_d13243