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Semantic Web ISWC 2018: 17th International Semantic Web Conference, Monterey, CA, USA, October 812, 2018, Proceedings, Part I 2018 ed. [Pehme köide]

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  • Formaat: Paperback / softback, 687 pages, kõrgus x laius: 235x155 mm, kaal: 1104 g, 141 Illustrations, black and white; XLI, 687 p. 141 illus., 1 Paperback / softback
  • Sari: Information Systems and Applications, incl. Internet/Web, and HCI 11136
  • Ilmumisaeg: 19-Sep-2018
  • Kirjastus: Springer Nature Switzerland AG
  • ISBN-10: 3030006700
  • ISBN-13: 9783030006709
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  • Formaat: Paperback / softback, 687 pages, kõrgus x laius: 235x155 mm, kaal: 1104 g, 141 Illustrations, black and white; XLI, 687 p. 141 illus., 1 Paperback / softback
  • Sari: Information Systems and Applications, incl. Internet/Web, and HCI 11136
  • Ilmumisaeg: 19-Sep-2018
  • Kirjastus: Springer Nature Switzerland AG
  • ISBN-10: 3030006700
  • ISBN-13: 9783030006709
Teised raamatud teemal:
The two-volume set LNCS 11136 and 11137 constitutes the refereed proceedings of the 17th International Semantic Web Conference, ISWC 2018, held in Monterey, USA, in October 2018. The ISWC conference is the premier international forum for the Semantic Web / Linked Data Community. The total of 62 full papers included in this volume was selected from 250 submissions. The conference is organized in three tracks: for the Research Track 39 full papers were selected from 164 submissions. The Resource Track contains 17 full papers, selected from 55 submissions; and the In-Use track features 6 full papers which were selected from 31 submissions to this track.
 



Research Track.- Fine-grained Evaluation of Rule- and Embedding-based Systems
for Knowledge Graph Completion.- KADE: Aligning Knowledge Base and Document
Embedding Models using Regularized Multi-Task Learning.- Inducing Implicit
Relations from Text using Distantly Supervised Deep Nets.- Towards Encoding
Time in Text-Based Entity Embeddings.- Rule Learning from Knowledge Graphs
Guided by Embedding Models.- A Novel Ensemble Method for Named Entity
Recognition and Disambiguation based on Neural Network.- EARL: Joint Entity
and Relation Linking for Question Answering over Knowledge Graphs.- TSE-NER:
An Iterative Approach for Long-Tail Entity Extraction in Scientific
Publications.- An Ontology-driven Probabilistic Soft Logic Approach to
Improve NLP Entity Annotations.- Ontology Driven Extraction of Research
Processes.- Enriching Knowledge Bases with Counting Quantifiers.- QA4IE: A
Question Answering based Framework for Information Extraction.- Constructing
aRecipe Web from Historical Newspapers.- Structured Event Entity Resolution
in Humanitarian Domains.- Thats Interesting, Tell Me More! Finding
Descriptive Support Passages for Explaining Knowledge Graph Relationships.-
Exploring RDF/S KBs Using Summaries.- What is the cube root of 27? Question
Answering over CodeOntology.- GraFa: Scalable Faceted Browsing for RDF
Graphs.- Semantics and Validation of Recursive SHACL.- Certain Answers for
SPARQL with Blank Nodes.- Efficient Handling of SPARQL OPTIONAL for OBDA.-
Representativeness of Knowledge Bases with the Generalized Benfords Law.-
Detecting Erroneous Identity Links on the Web using Network Metrics.- SPgen:
A Benchmark Generator for Spatial Link Discovery Tools.- Specifying,
Monitoring, and Executing Workflows in Linked Data Environments.- Mapping
Diverse Data to RDF in Practice.- A Novel Approach and Practical Algorithms
for Ontology Integration.- Practical Ontology Pattern Instantiation,
Discovery, and Maintanence with Reasonable Ontology Templates.- Pragmatic
Ontology Evolution: Reconciling User Requirements and Application
Performance.- Towards Empty Answers in SPARQL: Approximating Querying with
RDF Embedding.- Query-based Linked Data Anonymization.- Answering
Provenance-Aware Queries on RDF Data Cubes under Memory Budgets.- Bash
Datalog: Answering Datalog Queries with Unix Shell Commands.- WORQ:
Workload-Driven RDF Query Processing.- Canonicalisation of Monotone SPARQL
Queries.- Cross-Lingual Classification of Crisis Data.- Measuring Semantic
Coherence of a Conversation.- Combining Truth Discovery and RDF Knowledge
Bases to their mutual advantage.- Content based Fake News Detection Using
Knowledge Graphs.