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001483929 001__ 1483929
001483929 003__ OCoLC
001483929 005__ 20240117003307.0
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001483929 008__ 231107s2023\\\\sz\a\\\\o\\\\\100\0\eng\d
001483929 019__ $$a1407318085
001483929 020__ $$a9783031472435$$q(electronic bk.)
001483929 020__ $$a3031472438$$q(electronic bk.)
001483929 020__ $$z9783031472428
001483929 0247_ $$a10.1007/978-3-031-47243-5$$2doi
001483929 035__ $$aSP(OCoLC)1407633479
001483929 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dEBLCP$$dOCLCO$$dOCLCQ
001483929 049__ $$aISEA
001483929 050_4 $$aTK5105.88815$$b.I56 2023eb
001483929 08204 $$a006$$223/eng/20231107
001483929 1112_ $$aInternational Semantic Web Conference$$n(22nd :$$d2023 :$$cAthens, Greece)
001483929 24514 $$aThe semantic web -- ISWC 2023 :$$b22nd International Semantic Web Conference, Athens, Greece, November 6-10, 2023, Proceedings.$$nPart II /$$cTerry R. Payne, Valentina Presutti, Guilin Qi, María Poveda-Villalón, Giorgos Stoilos, Laura Hollink, Zoi Kaoudi, Gong Cheng, Juanzi Li, editors.
001483929 2463_ $$aISWC 2023
001483929 264_1 $$aCham :$$bSpringer,$$c2023.
001483929 300__ $$a1 online resource (xlvi, 476 pages) :$$billustrations (some color).
001483929 336__ $$atext$$btxt$$2rdacontent
001483929 337__ $$acomputer$$bc$$2rdamedia
001483929 338__ $$aonline resource$$bcr$$2rdacarrier
001483929 4901_ $$aLecture notes in computer science,$$x1611-3349 ;$$v14266
001483929 5050_ $$aIntro -- Preface -- Organization -- Keynote Speeches and Panels -- Knowledge Graphs in the Age of Large Language Models -- Semantic Web Research in the Age of Generative Artificial Intelligence -- ChatGLM: An Alternative to ChatGPT -- Panel on Neuro-Symbolic AI -- Contents - Part II -- Contents - Part I -- Resources Track -- HOLY: An Ontology Covering the Hydrogen Market -- 1 Introduction -- 2 Related Work -- 3 The Hydrogen Ontology (HOLY) -- 3.1 Methodology -- 3.2 Ontology Requirements Specification -- 3.3 Ontology Implementation -- 3.4 Evaluation -- 3.5 Publishing -- 3.6 Maintenance
001483929 5058_ $$a4 Contribution and Future Work -- References -- MMpedia: A Large-Scale Multi-modal Knowledge Graph -- 1 Introduction -- 2 Related Work -- 3 MMpedia Construction -- 3.1 Entity Information Collection -- 3.2 Non-visual Entity Filtering -- 3.3 Entity-Image Matching -- 3.4 Entity Type Detection -- 4 MMpedia Analysis -- 5 Experiment -- 5.1 Implementation Details -- 5.2 Downstream Tasks -- 5.3 Detailed Analysis -- 6 Conclusion -- References -- Ontology Repositories and Semantic Artefact Catalogues with the OntoPortal Technology -- 1 Introduction -- 2 Related Work on Semantic Artefact Catalogues
001483929 5058_ $$a2.1 From Ontology Libraries and Repositories to Semantic Artefact Catalogues -- 2.2 Generic Ontology Repository and Semantic Artefact Catalogue Technology -- 3 OntoPortal Technology -- 3.1 OntoPortal Standard/Default Technical Architecture -- 3.2 Default OntoPortal Services -- 3.3 Additional Features and Services Developed by the Alliance -- 4 OntoPortal Open-Source Project Organization -- 5 Usage of the OntoPortal Technology -- 5.1 Current Open Domain or Project Specific OntoPortal Installation -- 5.2 Other Running Installations of the OntoPortal Technology -- 6 Perspectives and Discussion
001483929 5058_ $$a7 Conclusion -- References -- AsdKB: A Chinese Knowledge Base for the Early Screening and Diagnosis of Autism Spectrum Disorder -- 1 Introduction -- 2 Ontology Building -- 3 Factual Knowledge Extraction -- 3.1 Disease Knowledge -- 3.2 Diagnostic Knowledge -- 3.3 Expert Knowledge -- 3.4 Other Knowledge -- 3.5 Quality of AsdKB -- 4 Application of AsdKB -- 4.1 Question Answering -- 4.2 Auxiliary Diagnosis -- 4.3 Expert Recommendation -- 5 Related Work -- 6 Conclusions and Future Work -- References -- TEC: Transparent Emissions Calculation Toolkit -- 1 Introduction -- 2 Related Work
001483929 5058_ $$a3 TEC Toolkit Design -- 4 TEC Toolkit Ontologies -- 4.1 Methodology -- 4.2 Emission Conversion Factors Ontology (ECFO) -- 4.3 Provenance of Emission Calculation Ontology (PECO) -- 4.4 ECFO and PECO Validation -- 5 Emission Conversion Factors Knowledge Graph -- 5.1 Data Sources -- 5.2 Transforming Data Sources to RDF -- 5.3 Data Validation with Semantic Rules -- 6 Semantic Machine Learning Impact Calculator -- 6.1 Calculator Overview -- 6.2 Emissions Calculation Provenance Trace -- 6.3 Explaining Emissions Calculation Provenance Traces -- 6.4 Assessing Provenance Traces
001483929 506__ $$aAccess limited to authorized users.
001483929 520__ $$aThis book constitutes the proceedings of the 22nd International Semantic Web Conference, ISWC 2023, which took place in October 2023 in Athens, Greece. The 58 full papers presented in this double volume were thoroughly reviewed and selected from 248 submissions. Many submissions focused on the use of reasoning and query answering, with a number addressing engineering, maintenance, and alignment tasks for ontologies. Likewise, there has been a healthy batch of submissions on search, query, integration, and the analysis of knowledge. Finally, following the growing interest in neuro-symbolic approaches, there has been a rise in the number of studies that focus on the use of Large Language Models and Deep Learning techniques such as Graph Neural Networks.
001483929 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed November 7, 2023).
001483929 650_6 $$aWeb sémantique$$vCongrès.
001483929 650_6 $$aInformatique sémantique$$vCongrès.
001483929 650_0 $$aSemantic Web$$vCongresses.$$vCongresses$$0(DLC)sh2010112582
001483929 650_0 $$aSemantic computing$$vCongresses.$$0(DLC)sh2009007899
001483929 655_0 $$aElectronic books.
001483929 7001_ $$aPayne, Terry.,$$eeditor.$$1https://orcid.org/0000-0002-0106-8731
001483929 7001_ $$aPresutti, Valentina,$$eeditor.$$1https://orcid.org/0000-0002-9380-5160
001483929 7001_ $$aQi, Guilin,$$eeditor.$$1https://orcid.org/0000-0003-0150-7236
001483929 7001_ $$aPoveda-Villalón, María,$$eeditor.$$1https://orcid.org/0000-0003-3587-0367
001483929 7001_ $$aStoilos, Giorgos,$$eeditor.$$0(orcid)0000-0002-9633-347X$$1https://orcid.org/0000-0002-9633-347X
001483929 7001_ $$aHollink, Laura,$$eeditor.$$1https://orcid.org/0000-0002-6865-0021
001483929 7001_ $$aKaoudi, Zoi,$$eeditor.$$0(orcid)0000-0003-4520-5360$$1https://orcid.org/0000-0003-4520-5360
001483929 7001_ $$aCheng, Gong,$$eeditor.$$0(orcid)0000-0003-3539-7776$$1https://orcid.org/0000-0003-3539-7776
001483929 7001_ $$aLi, Juanzi,$$eeditor.$$1https://orcid.org/0000-0002-6244-0664
001483929 77608 $$iPrint version:$$aPayne, Terry R.$$tThe Semantic Web - ISWC 2023$$dCham : Springer International Publishing AG,c2023$$z9783031472428
001483929 830_0 $$aLecture notes in computer science ;$$v14266.$$x1611-3349
001483929 852__ $$bebk
001483929 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-47243-5$$zOnline Access$$91397441.1
001483929 909CO $$ooai:library.usi.edu:1483929$$pGLOBAL_SET
001483929 980__ $$aBIB
001483929 980__ $$aEBOOK
001483929 982__ $$aEbook
001483929 983__ $$aOnline
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