001440106 000__ 06992cam\a2200793\a\4500 001440106 001__ 1440106 001440106 003__ OCoLC 001440106 005__ 20230309004541.0 001440106 006__ m\\\\\o\\d\\\\\\\\ 001440106 007__ cr\un\nnnunnun 001440106 008__ 211002s2021\\\\sz\\\\\\o\\\\\101\0\eng\d 001440106 019__ $$a1287765712 001440106 020__ $$a9783030883614$$q(electronic bk.) 001440106 020__ $$a3030883612$$q(electronic bk.) 001440106 020__ $$z9783030883607 001440106 0247_ $$a10.1007/978-3-030-88361-4$$2doi 001440106 035__ $$aSP(OCoLC)1272993117 001440106 040__ $$aEBLCP$$beng$$epn$$cEBLCP$$dGW5XE$$dEBLCP$$dOCLCF$$dDCT$$dOCLCO$$dOCLCQ$$dCOM$$dOCLCO$$dOCLCQ 001440106 049__ $$aISEA 001440106 050_4 $$aTK5105.88815$$b.I56 2021eb 001440106 08204 $$a006$$223 001440106 1112_ $$aInternational Semantic Web Conference$$n(20th :$$d2021 :$$cOnline) 001440106 24514 $$aThe semantic web -- ISWC 2021 :$$b20th International Semantic Web Conference, ISWC 2021, Virtual event, October 24-28, 2021, Proceedings /$$cAndreas Hotho, Eva Blomqvist, Stefan Dietze, Achille Fokoue, Ying Ding, Payam Barnaghi, Armin Haller, Mauro Dragoni, Harith Alani (eds.). 001440106 2463_ $$aISWC 2021 001440106 260__ $$aCham :$$bSpringer,$$c2021. 001440106 300__ $$a1 online resource (756 pages) 001440106 336__ $$atext$$btxt$$2rdacontent 001440106 337__ $$acomputer$$bc$$2rdamedia 001440106 338__ $$aonline resource$$bcr$$2rdacarrier 001440106 347__ $$atext file 001440106 347__ $$bPDF 001440106 4901_ $$aLecture notes in computer science ;$$v12922 001440106 4901_ $$aLNCS sublibrary, SL 3, Information systems and applications, incl. internet/web, and HCI 001440106 500__ $$aD Qualifier Ratio. 001440106 500__ $$aIncludes author index. 001440106 5050_ $$aIntro -- Preface -- Organization -- Contents -- Research Track -- PCSG: Pattern-Coverage Snippet Generation for RDF Datasets -- 1 Introduction -- 2 Related Work -- 3 Snippet Generation: A Basic Approach -- 3.1 Problem Formulation -- 3.2 Algorithm Basic -- 4 Snippet Generation: Extended Approaches -- 4.1 Extension to Disconnectivity: Algorithm PCSG -- 4.2 Extension to High Heterogeneity: Algorithm PCSG- -- 4.3 Extension to Query Relevance: Algorithm QPCSG( -- ) -- 5 Evaluation of PCSG( -- ) -- 5.1 RDF Datasets -- 5.2 Participating Methods -- 5.3 Experiment 1: Coverage of Schema 001440106 5058_ $$a5.4 Experiment 2: User Preference -- 5.5 Experiment 3: Space Saving and Run-Time -- 6 Evaluation of QPCSG( -- ) -- 6.1 Queries and RDF Datasets -- 6.2 Participating Methods -- 6.3 Experiment 4: Coverage of Query and Schema -- 6.4 Experiment 5: Space Saving and Run-Time -- 7 Empirical Comparison with Summary -- 8 Conclusion and Future Work -- References -- A Source-to-Target Constraint Rewriting for Direct Mapping -- 1 Introduction -- 2 Preliminaries -- 3 Constraint Rewriting: Definition and Properties -- 4 The Constraint Rewriting -- 4.1 Datalog Predicates -- 4.2 The Constraint Rewriting Rules 001440106 5058_ $$a5 Properties of the Constraint Rewriting -- 6 Discussion -- 7 Conclusion -- References -- Learning to Predict the Departure Dynamics of Wikidata Editors -- 1 Introduction -- 2 Related Work -- 3 Proposed Approach -- 3.1 Statistical Features -- 3.2 Pattern-Based Features -- 3.3 DeepFM as the Classification Model -- 4 Wikidata Dataset -- 4.1 Exploratory Analysis of the Dataset -- 5 Experimental Setup -- 5.1 Dataset -- 5.2 Compared Methods -- 5.3 Evaluation Metrics -- 6 Results -- 6.1 Comparison with the Set of Different Methods -- 6.2 Analysis of Statistical Features -- 7 Conclusions -- References 001440106 5058_ $$aTowards Neural Schema Alignment for OpenStreetMap and Knowledge Graphs -- 1 Introduction -- 2 Problem Statement -- 3 Neural Class Alignment Approach -- 3.1 Auxiliary Neural Classification Model -- 3.2 Tag-to-Class Alignment -- 3.3 Illustrative Example -- 4 Evaluation Setup -- 4.1 Datasets -- 4.2 Ground Truth Creation -- 4.3 Baselines -- 4.4 Metrics -- 5 Evaluation -- 5.1 Tag-to-Class Alignment Performance -- 5.2 Influence of the Shared Latent Space -- 5.3 Confidence Threshold Tuning -- 5.4 Alignment Impact -- 6 Related Work -- 7 Conclusion -- References 001440106 5058_ $$aImproving Inductive Link Prediction Using Hyper-relational Facts -- 1 Introduction -- 2 Background -- 2.1 Statements: Triples Plus Qualifiers -- 2.2 Expressiveness -- 3 Inductive Link Prediction -- 4 Approach -- 4.1 Encoders -- 4.2 Decoder -- 4.3 Training -- 5 Datasets -- 5.1 Fully-Inductive Setting -- 5.2 Semi-inductive Setting -- 5.3 Overview -- 6 Experiments -- 6.1 Experimental Setup -- 6.2 Fully-Inductive Setting -- 6.3 Semi-inductive Setting -- 6.4 Qualitative Analysis -- 7 Related Work -- 8 Conclusion -- A Training -- B Hyperparameter Ranges -- C Infrastructure and Parameters 001440106 506__ $$aAccess limited to authorized users. 001440106 520__ $$aThis book constitutes the proceedings of the 20th International Semantic Web Conference, ISWC 2021, which took place in October 2021. Due to COVID-19 pandemic the conference was held virtually. The papers included in this volume deal with the latest advances in fundamental research, innovative technology, and applications of the Semantic Web, linked data, knowledge graphs, and knowledge processing on the Web. Papers are organized in a research track, resources and in-use track. The research track details theoretical, analytical and empirical aspects of the Semantic Web and its intersection with other disciplines. The resources track promotes the sharing of resources which support, enable or utilize semantic web research, including datasets, ontologies, software, and benchmarks. And finally, the in-use-track is dedicated to novel and significant research contributions addressing theoretical, analytical and empirical aspects of the Semantic Web and its intersection with other disciplines. 001440106 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed October 7, 2021). 001440106 650_0 $$aSemantic Web$$vCongresses. 001440106 650_0 $$aSemantic computing$$vCongresses. 001440106 650_6 $$aWeb sémantique$$vCongrès. 001440106 650_6 $$aInformatique sémantique$$vCongrès. 001440106 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772 001440106 655_7 $$aConference papers and proceedings.$$2lcgft 001440106 655_7 $$aActes de congrès.$$2rvmgf 001440106 655_0 $$aElectronic books. 001440106 7001_ $$aHotho, Andreas. 001440106 7001_ $$aBlomqvist, Eva. 001440106 7001_ $$aDietze, Stefan. 001440106 7001_ $$aFokoue, Achille. 001440106 7001_ $$aDing, Ying$$c(Information scientist) 001440106 7001_ $$aBarnaghi, Payam. 001440106 7001_ $$aHaller, Armin,$$d1980- 001440106 7001_ $$aDragoni, Mauro. 001440106 7001_ $$aAlani, Harith. 001440106 77608 $$iPrint version:$$aHotho, Andreas.$$tSemantic Web - ISWC 2021.$$dCham : Springer International Publishing AG, ©2021$$z9783030883607 001440106 830_0 $$aLecture notes in computer science ;$$v12922. 001440106 830_0 $$aLNCS sublibrary.$$nSL 3,$$pInformation systems and applications, incl. Internet/Web, and HCI. 001440106 852__ $$bebk 001440106 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-88361-4$$zOnline Access$$91397441.1 001440106 909CO $$ooai:library.usi.edu:1440106$$pGLOBAL_SET 001440106 980__ $$aBIB 001440106 980__ $$aEBOOK 001440106 982__ $$aEbook 001440106 983__ $$aOnline 001440106 994__ $$a92$$bISE