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Flexible Query Answering Systems: 14th International Conference, FQAS 2021, Bratislava, Slovakia, September 1924, 2021, Proceedings 1st ed. 2021 [Pehme köide]

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  • Formaat: Paperback / softback, 235 pages, kõrgus x laius: 235x155 mm, kaal: 391 g, 33 Illustrations, color; 27 Illustrations, black and white; XIII, 235 p. 60 illus., 33 illus. in color., 1 Paperback / softback
  • Sari: Lecture Notes in Artificial Intelligence 12871
  • Ilmumisaeg: 16-Sep-2021
  • Kirjastus: Springer Nature Switzerland AG
  • ISBN-10: 3030869660
  • ISBN-13: 9783030869663
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  • Formaat: Paperback / softback, 235 pages, kõrgus x laius: 235x155 mm, kaal: 391 g, 33 Illustrations, color; 27 Illustrations, black and white; XIII, 235 p. 60 illus., 33 illus. in color., 1 Paperback / softback
  • Sari: Lecture Notes in Artificial Intelligence 12871
  • Ilmumisaeg: 16-Sep-2021
  • Kirjastus: Springer Nature Switzerland AG
  • ISBN-10: 3030869660
  • ISBN-13: 9783030869663
This book constitutes the refereed proceedings of the 14th International Conference on Flexible Query Answering Systems, FQAS 2021, held virtually and in Bratislava, Slovakia, in September 2021.

The 16 full papers and 1 perspective papers presented were carefully reviewed and selected from 17 submissions. They are organized in the following topical sections: model-based flexible query answering approaches and data-driven approaches.

Perspective Paper.- Perspectives and Views of Flexible Query Answering.- Model-Based Flexible Query Answering Approaches.- Analogical Querying?.- Flexible Querying Using Disjunctive Concepts.- Analytical Queries on Vanilla RDF Graphs with a Guided Query Builder Approach.- Realization of a Natural Logic in a Database System.- Generalized Weighted Repairs.- Dealing with Data Veracity in Multiple Criteria Handling: An LSP-based approach.- On Controlling Skyline Query Results: What Does Soft Computing Bring?.- Management of Complex and Fuzzy Queries Using a Fuzzy SOLAP-Based Framework.- Data Quality Management: an Overview of Methods and Challenges.- J-CO, a Framework for Fuzzy Querying Collections of JSON Documents.- Data-Driven Approaches.- Detecting ESG Topics Using Domain-Specific Language Models and Data Augmentation.- A Novel Approach for Supporting Italian Satire Detection Through Deep Learning.- DocTalk: Combining Dependency-Based Text Graphs and Deep Learning into a Practical Dialog Engine.- A Comparative Study of Word Embeddings for the Construction of a Social Media Expert Filter.- Aggregation for Flexible Challenge Response.- The Impact of User Demographics and Task Types on Cross-App Mobile Search.