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  • 1
    Online Resource
    Online Resource
    San Rafael, California : Morgan & Claypool Publishers | [San Rafael, California] : Morgan & Claypool Publishers
    UID:
    (DE-603)415820855
    Format: 1 Online-Ressource (xv, 106 Seiten)
    ISBN: 9781627058049
    Series Statement: Synthesis lectures on the semantic web, 2160-472X No. 13
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    Online Resource
    Online Resource
    San Rafael, Calif. : Morgan & Claypool Publishers
    UID:
    (DE-627)833431048
    Format: Online-Ressource (124 p)
    Edition: Online-Ausg.
    ISBN: 9781627058049
    Series Statement: Synthesis lectures on the semantic web: theory and technology
    Content: In 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 descrip
    Note: Description based upon print version of record , List of Figures; List of Tables; Preface; Acknowledgments; Web of Data: Describing and Linking Entities; Matching and Resolving Entities; The Problem of Entity Resolution; Similarity Functions; Content-based Similarity Functions; Relational Similarity Functions; Approximations of Similarity Functions; Discussion; Blocking; The Problem of Entity Blocking; Blocking in Traditional Data Warehouses; Blocking in the Web of Data; Block Post-processing Methods; Discussion; Iterative Entity Resolution; The Problem of Iterative Entity Resolution; Merging-based Iterative Entity Resolution , Relationship-based Iterative Entity ResolutionIterative Blocking; Incremental Entity Resolution; Progressive Entity Resolution; Discussion; Experimental Evaluation of Blocking Algorithms; Datasets; Measures; Quality Results; Identified Matches (TPs); Missed Matches (FNs); Non-matches (FPs and TNs); Performance Results; Different Types of Links; Lessons Learned; Conclusions; Bibliography; Authors' Biographies
    Additional Edition: 9781627058032
    Additional Edition: Print version Entity Resolution in the Web of Data
    Language: English
    Keywords: Electronic books
    URL: Volltext  (lizenzpflichtig)
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  • 3
    Online Resource
    Online Resource
    San Rafael, California (1537 Fourth Street, San Rafael, CA 94901 USA) : Morgan & Claypool
    UID:
    (DE-627)1656741296
    Format: Online-Ressource (xv, 106 pages) , illustrations.
    ISBN: 9781627058049
    Series Statement: Synthesis lectures on the semantic web # 13
    Content: In 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.
    Note: Part of: Synthesis digital library of engineering and computer science. - Includes bibliographical references (pages 91-104). - Compendex. INSPEC. Google scholar. Google book search. - Title from PDF title page (viewed on August 18, 2015) , 1. Web of data: describing and linking entities -- , Mode of access: World Wide Web. , System requirements: Adobe Acrobat Reader.
    Additional Edition: 9781627058032
    Additional Edition: Erscheint auch als Druck-Ausgabe 9781627058032
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 4
    UID:
    (DE-605)HT021681491
    Format: 1 Online-Ressource (XV, 106 p)
    Edition: 1st ed. 2015
    ISBN: 9783031794681
    Series Statement: Synthesis Lectures on Data, Semantics, and Knowledge
    Additional Edition: Printed edition 9783031794674
    Additional Edition: Printed edition 9783031794698
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 5
    Online Resource
    Online Resource
    [San Rafael, California] : Morgan & Claypool Publishers
    UID:
    (DE-602)b3kat_BV042994935
    Format: 1 online resource (xv, 124 pages) , illustrations, charts
    ISBN: 9781627058049
    Series Statement: Synthesis lectures on the semantic web, theory and technology #13
    Note: Description based on online resource; title from PDF title page (ebrary, viewed September 4, 2015)
    Additional Edition: Erscheint auch als Druck-Ausgabe, Paperback ISBN 978-1-62705-803-2
    Language: English
    Subjects: Computer Science
    RVK:
    RVK:
    Keywords: Internet ; Information Retrieval ; Data Mining
    URL: Volltext  (URL des Erstveröffentlichers)
    Library Location Call Number Volume/Issue/Year Availability
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  • 6
    UID:
    (DE-602)gbv_835790460
    Format: 1 Online-Ressource (xv, 106 Seiten) , Illustrationen
    Edition: Also available in print
    ISBN: 1627058044 , 9781627058049
    Series Statement: Synthesis lectures on the semantic web #13
    Content: In 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
    Content: 1. Web of data: describing and linking entities --
    Content: 2. Matching and resolving entities -- 2.1 The problem of entity resolution -- 2.2 Similarity functions -- 2.2.1 Content-based similarity functions -- 2.2.2 Relational similarity functions -- 2.2.3 Approximations of similarity functions -- 2.3 Discussion --
    Content: 3. Blocking -- 3.1 The problem of entity blocking -- 3.2 Blocking in traditional data warehouses -- 3.3 Blocking in the web of data -- 3.4 Block post-processing methods -- 3.5 Discussion --
    Content: 4. Iterative entity resolution -- 4.1 The problem of iterative entity resolution -- 4.2 Merging-based iterative entity resolution -- 4.3 Relationship-based iterative entity resolution -- 4.4 Iterative blocking -- 4.5 Incremental entity resolution -- 4.6 Progressive entity resolution -- 4.7 Discussion --
    Content: 5. Experimental evaluation of blocking algorithms -- 5.1 Datasets -- 5.2 Measures -- 5.3 Quality results -- 5.3.1 Identified matches (TPS) -- 5.3.2 Missed matches (FNS) -- 5.3.3 Non-matches (FPS and TNS) -- 5.4 Performance results -- 5.5 Different types of links -- 5.6 Lessons learned --
    Content: 6. Conclusions -- Bibliography -- Authors' biographies
    Note: Includes bibliographical references (pages 91-104) , 1. Web of data: describing and linking entities , 2. Matching and resolving entities2.1 The problem of entity resolution -- 2.2 Similarity functions -- 2.2.1 Content-based similarity functions -- 2.2.2 Relational similarity functions -- 2.2.3 Approximations of similarity functions -- 2.3 Discussion , 3. Blocking3.1 The problem of entity blocking -- 3.2 Blocking in traditional data warehouses -- 3.3 Blocking in the web of data -- 3.4 Block post-processing methods -- 3.5 Discussion , 4. Iterative entity resolution4.1 The problem of iterative entity resolution -- 4.2 Merging-based iterative entity resolution -- 4.3 Relationship-based iterative entity resolution -- 4.4 Iterative blocking -- 4.5 Incremental entity resolution -- 4.6 Progressive entity resolution -- 4.7 Discussion , 5. Experimental evaluation of blocking algorithms5.1 Datasets -- 5.2 Measures -- 5.3 Quality results -- 5.3.1 Identified matches (TPS) -- 5.3.2 Missed matches (FNS) -- 5.3.3 Non-matches (FPS and TNS) -- 5.4 Performance results -- 5.5 Different types of links -- 5.6 Lessons learned , 6. ConclusionsBibliography -- Authors' biographies. , Also available in print. , Mode of access: World Wide Web. , System requirements: Adobe Acrobat Reader.
    Additional Edition: ISBN 1627058036
    Additional Edition: ISBN 9781627058032
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 7
    Online Resource
    Online Resource
    [San Rafael, California] : Morgan & Claypool Publishers
    UID:
    (DE-604)BV042994935
    Format: 1 online resource (xv, 124 pages) , illustrations, charts
    ISBN: 9781627058049
    Series Statement: Synthesis lectures on the semantic web, theory and technology #13
    Note: Description based on online resource; title from PDF title page (ebrary, viewed September 4, 2015)
    Additional Edition: Erscheint auch als Druck-Ausgabe, Paperback ISBN 978-1-62705-803-2
    Language: English
    Subjects: Computer Science
    RVK:
    RVK:
    Keywords: Internet ; Information Retrieval ; Data Mining
    URL: Volltext  (URL des Erstveröffentlichers)
    Library Location Call Number Volume/Issue/Year Availability
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  • 8
    UID:
    (DE-627)835790460
    Format: 1 Online-Ressource (xv, 106 Seiten) , Illustrationen
    Edition: Also available in print
    ISBN: 1627058044 , 9781627058049
    Series Statement: Synthesis lectures on the semantic web #13
    Content: In 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
    Content: 1. Web of data: describing and linking entities --
    Content: 2. Matching and resolving entities -- 2.1 The problem of entity resolution -- 2.2 Similarity functions -- 2.2.1 Content-based similarity functions -- 2.2.2 Relational similarity functions -- 2.2.3 Approximations of similarity functions -- 2.3 Discussion --
    Content: 3. Blocking -- 3.1 The problem of entity blocking -- 3.2 Blocking in traditional data warehouses -- 3.3 Blocking in the web of data -- 3.4 Block post-processing methods -- 3.5 Discussion --
    Content: 4. Iterative entity resolution -- 4.1 The problem of iterative entity resolution -- 4.2 Merging-based iterative entity resolution -- 4.3 Relationship-based iterative entity resolution -- 4.4 Iterative blocking -- 4.5 Incremental entity resolution -- 4.6 Progressive entity resolution -- 4.7 Discussion --
    Content: 5. Experimental evaluation of blocking algorithms -- 5.1 Datasets -- 5.2 Measures -- 5.3 Quality results -- 5.3.1 Identified matches (TPS) -- 5.3.2 Missed matches (FNS) -- 5.3.3 Non-matches (FPS and TNS) -- 5.4 Performance results -- 5.5 Different types of links -- 5.6 Lessons learned --
    Content: 6. Conclusions -- Bibliography -- Authors' biographies
    Note: Includes bibliographical references (pages 91-104) , 1. Web of data: describing and linking entities , 2. Matching and resolving entities2.1 The problem of entity resolution -- 2.2 Similarity functions -- 2.2.1 Content-based similarity functions -- 2.2.2 Relational similarity functions -- 2.2.3 Approximations of similarity functions -- 2.3 Discussion , 3. Blocking3.1 The problem of entity blocking -- 3.2 Blocking in traditional data warehouses -- 3.3 Blocking in the web of data -- 3.4 Block post-processing methods -- 3.5 Discussion , 4. Iterative entity resolution4.1 The problem of iterative entity resolution -- 4.2 Merging-based iterative entity resolution -- 4.3 Relationship-based iterative entity resolution -- 4.4 Iterative blocking -- 4.5 Incremental entity resolution -- 4.6 Progressive entity resolution -- 4.7 Discussion , 5. Experimental evaluation of blocking algorithms5.1 Datasets -- 5.2 Measures -- 5.3 Quality results -- 5.3.1 Identified matches (TPS) -- 5.3.2 Missed matches (FNS) -- 5.3.3 Non-matches (FPS and TNS) -- 5.4 Performance results -- 5.5 Different types of links -- 5.6 Lessons learned , 6. ConclusionsBibliography -- Authors' biographies. , Also available in print. , Mode of access: World Wide Web. , System requirements: Adobe Acrobat Reader.
    Additional Edition: 1627058036
    Additional Edition: 9781627058032
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 9
    Online Resource
    Online Resource
    Cham : Springer International Publishing | Cham : Imprint: Springer
    UID:
    (DE-627)1817227661
    Format: 1 Online-Ressource(XV, 106 p.)
    Edition: 1st ed. 2015.
    ISBN: 9783031794681
    Series Statement: Synthesis Lectures on Data, Semantics, and Knowledge
    Content: List 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 .
    Content: In 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.
    Additional Edition: 9783031794674
    Additional Edition: 9783031794698
    Additional Edition: Erscheint auch als Druck-Ausgabe 9783031794674
    Additional Edition: Erscheint auch als Druck-Ausgabe 9783031794698
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 10
    UID:
    (DE-627)1808122879
    Format: 1 online resource (160 pages)
    ISBN: 9783540709602
    Series Statement: Lecture Notes in Computer Science Ser. v.5005
    Content: Intro -- Title Page -- Preface -- Organization -- Table of Contents -- An Extension of SPARQL for RDFS -- Introduction -- RDFS and SPARQL -- The RDF Data Model -- SPARQL -- The Semantics of SPARQL over RDFS -- Navigational RDF Languages -- Related Work -- Navigating RDF through Regular Expressions -- Navigating RDF through Nested Regular Expressions -- The Extra Expressive Power of Nested Regular Expressions -- Concluding Remarks -- References -- On RDF/S Ontology Evolution -- Introduction -- Related Work and Motivation -- Short Literature Review -- Motivation -- Evolution Process in Current Systems -- Model Selection and Supported Operations -- Validity Model and Invalidity Resolution -- Action Selection -- Discussion -- A Formal Framework for RDF/S Ontology Evolution -- Model Selection, Supported Operations and Validity Model -- Formalizing Our Model -- Invalidity Resolution and Action Selection -- Rational Ontology Evolution Algorithms -- Algorithms -- General-Purpose Algorithm -- Special-Purpose Algorithms -- Conclusion -- References -- Relational Databases in RDF: Keys and Foreign Keys -- Introduction -- Preliminaries -- Mapping Relational Databases into RDF -- Value-Based Mappings -- URI-Based Mappings -- Object-Based Mappings -- Discussion -- Keys and Foreign Keys Vocabulary for RDF -- Conclusion -- References -- An Effective SPARQL Support over Relational Databases -- Introduction -- Preliminaries: SPARQL Pattern Tree -- Problem Statement -- Facet of an RDF Object -- SPARQL to SQL Translation -- Translation of Pattern Nodes -- Translation of Filter Expressions -- Optimization -- Optimization on CASE Expression -- Optimization on Constant Expression -- An Example of Translation -- Experimental Analysis -- Related Work -- Conclusions -- References -- Implementing the COntext INterchange (COIN) Approach through Use of Semantic Web Tools.
    Note: Description based on publisher supplied metadata and other sources
    Additional Edition: 9783540709596
    Additional Edition: Erscheint auch als Druck-Ausgabe 9783540709596
    Language: English
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