Atjaunināt sīkdatņu piekrišanu

Semantic Web ISWC 2020: 19th International Semantic Web Conference, Athens, Greece, November 26, 2020, Proceedings, Part I 1st ed. 2020 [Mīkstie vāki]

Edited by , Edited by , Edited by , Edited by , Edited by , Edited by , Edited by , Edited by
  • Formāts: Paperback / softback, 695 pages, height x width: 235x155 mm, weight: 1104 g, 133 Illustrations, color; 46 Illustrations, black and white; XXXV, 695 p. 179 illus., 133 illus. in color., 1 Paperback / softback
  • Sērija : Lecture Notes in Computer Science 12506
  • Izdošanas datums: 01-Nov-2020
  • Izdevniecība: Springer Nature Switzerland AG
  • ISBN-10: 3030624188
  • ISBN-13: 9783030624187
Citas grāmatas par šo tēmu:
  • Mīkstie vāki
  • Cena: 91,53 €*
  • * ši ir gala cena, t.i., netiek piemērotas nekādas papildus atlaides
  • Standarta cena: 107,69 €
  • Ietaupiet 15%
  • Grāmatu piegādes laiks ir 3-4 nedēļas, ja grāmata ir uz vietas izdevniecības noliktavā. Ja izdevējam nepieciešams publicēt jaunu tirāžu, grāmatas piegāde var aizkavēties.
  • Daudzums:
  • Ielikt grozā
  • Piegādes laiks - 4-6 nedēļas
  • Pievienot vēlmju sarakstam
Semantic Web ISWC 2020: 19th International Semantic Web Conference, Athens, Greece, November 26, 2020, Proceedings, Part I 1st ed. 2020Palielināt
  • Formāts: Paperback / softback, 695 pages, height x width: 235x155 mm, weight: 1104 g, 133 Illustrations, color; 46 Illustrations, black and white; XXXV, 695 p. 179 illus., 133 illus. in color., 1 Paperback / softback
  • Sērija : Lecture Notes in Computer Science 12506
  • Izdošanas datums: 01-Nov-2020
  • Izdevniecība: Springer Nature Switzerland AG
  • ISBN-10: 3030624188
  • ISBN-13: 9783030624187
Citas grāmatas par šo tēmu:
Permanent link: https://www.kriso.lv/db/9783030624187.html
Keywords:
The two volume set LNCS 12506 and 12507 constitutes the proceedings of the 19th International Semantic Web Conference, ISWC 2020, which was planned to take place in Athens, Greece, during November 2-6, 2020. The conference changed to a virtual format due to the COVID-19 pandemic.





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. They were carefully reviewed and selected for inclusion in the proceedings as follows:





Part I: Features 38 papers from the research track which were accepted from 170 submissions;







Part II: Includes 22 papers from the resources track which were accepted from 71 submissions; and 21 papers in the in-use track, which had a total of 46 submissions.
Research Track.- Computing Compliant Anonymisations of Quantified ABoxes
w.r.t. EL Policies.- PNEL: Pointer Network based End-To-End Entity Linking
over Knowledge Graphs.- Explainable Link Prediction for Emerging Entities in
Knowledge Graphs.- Tentris A Tensor-Based Triple Store.- Refining Node
Embeddings via Semantic Proximity.- Learning Short-term Differences and
Long-term Dependencies for Entity Alignment.- Generating Compact and
Relaxable Answers to Keyword Queries over Knowledge Graphs.- Controlled Query
Evaluation in Ontology-based Data Access.- Linked Credibility Reviews for
Explainable Misinformation Detection.- A Novel Path-based Entity Relatedness
Measure for Efficient Collective Entity Linking.- Enhancing Online Knowledge
Graph Population with Semantic Knowledge.- Extending SPARQL with Similarity
Joins.- ExCut: Explainable Embedding-based Clustering over Knowledge Graphs.-
Cost-and Robustness-based Query Optimization for Linked Data Fragments.-
GeoSPARQL+: Syntax, Semantics and System for Integrated Querying of Graph,
Raster and Vector Data.- FunMap: Efficient Execution of Functional Mappings
for Knowledge Graph Creation.- KnowlyBERT - Hybrid Query Answering over
Language Models and Knowledge Graphs.- Generating Referring Expressions from
RDF Knowledge Graphs for Data Linking.- Prevalence and Effects of Class
Hierarchy Precompilation in Biomedical Ontologies.- Tab2Know: Building a
Knowledge Base from Scientific Tables.- Deciding SHACL Shape Containment
through Description Logics Reasoning.- Rule-Guided Graph Neural Networks for
Recommender Systems.- Leveraging Semantic Parsing for Relation Linking over
Knowledge Bases.- NABU - Multilingual Graph-based Neural RDF Verbalizer.-
Fantastic Knowledge Graph Embeddings and How to Find the Right Space for
Them.- LM4KG: Improving Common Sense Knowledge Graphs with Language Models.-
SHACL Satisfiability and Containment.- Contextual Propagation of Properties
for Knowledge Graphs: A Sentence Embedding Based Approach.- In-database
Analytics with Recursive SPARQL.- From syntactic structure to semantic
relationship: hypernym extraction from definitions by recurrent neural
networks using the part of speech information.- Focused Query Expansion with
Entity Cores for Patient-Centric Health Search.- Generating Expressive
Correspondences: An Approach based on User Knowledge Needs and A-box Relation
Discovery.- Weakly Supervised Short Text Categorization Using World
Knowledge.- PreFace: Faceted Retrieval of Prerequisites using domain-specific
Knowledge Bases.- Detecting Different Forms of Semantic Shift in Word
Embeddings via Paradigmatic and Syntagmatic Association Changes.- BCRL: Long
Text Friendly Knowledge Graph Representation Learning.- Temporal Knowledge
Graph Embedding Model based on Additive Time Series Decomposition.- Revealing
Secrets in SPARQL Session Level.