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The Semantic Web – ISWC 2014

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Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Detecting and Correcting Conservativity Principle Violations in Ontology-to-Ontology Mappings
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    Chapter 2 Towards Annotating Potential Incoherences in BioPortal Mappings
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    Chapter 3 Conference v2.0: An Uncertain Version of the OAEI Conference Benchmark
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    Chapter 4 Fast Modularisation and Atomic Decomposition of Ontologies Using Axiom Dependency Hypergraphs
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    Chapter 5 The Semantic Web – ISWC 2014
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    Chapter 6 Structural Properties as Proxy for Semantic Relevance in RDF Graph Sampling
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    Chapter 7 Holistic and Compact Selectivity Estimation for Hybrid Queries over RDF Graphs
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    Chapter 8 Querying Factorized Probabilistic Triple Databases
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    Chapter 9 Ontology Search: An Empirical Evaluation
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    Chapter 10 Pushing the Boundaries of Tractable Ontology Reasoning
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    Chapter 11 Effective Computation of Maximal Sound Approximations of Description Logic Ontologies
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    Chapter 12 Abstraction Refinement for Ontology Materialization
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    Chapter 13 Goal-Directed Tracing of Inferences in EL Ontologies
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    Chapter 14 Semantic Web Application Development with LITEQ
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    Chapter 15 Semantic-Based Process Analysis
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    Chapter 16 Efficient RDF Interchange (ERI) Format for RDF Data Streams
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    Chapter 17 Knowledge-Driven Activity Recognition and Segmentation Using Context Connections
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    Chapter 18 A Use Case in Semantic Modelling and Ranking for the Sensor Web
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    Chapter 19 Semantic Traffic Diagnosis with STAR-CITY: Architecture and Lessons Learned from Deployment in Dublin, Bologna, Miami and Rio
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    Chapter 20 Adapting Semantic Sensor Networks for Smart Building Diagnosis
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    Chapter 21 Semantic Patterns for Sentiment Analysis of Twitter
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    Chapter 22 Stretching the Life of Twitter Classifiers with Time-Stamped Semantic Graphs
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    Chapter 23 Linked Open Data Driven Game Generation
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    Chapter 24 On the Semantics of SPARQL Queries with Optional Matching under Entailment Regimes
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    Chapter 25 Strategies for Executing Federated Queries in SPARQL1.1
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    Chapter 26 Toward the Web of Functions: Interoperable Higher-Order Functions in SPARQL
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    Chapter 27 Explass: Exploring Associations between Entities via Top- K Ontological Patterns and Facets
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    Chapter 28 Expressive and Scalable Query-Based Faceted Search over SPARQL Endpoints
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    Chapter 29 Querying Heterogeneous Personal Information on the Go
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    Chapter 30 The Web Browser Personalization with the Client Side Triplestore
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    Chapter 31 CrowdTruth: Machine-Human Computation Framework for Harnessing Disagreement in Gathering Annotated Data
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    Chapter 32 Joint Information Extraction from the Web Using Linked Data
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    Chapter 33 Entity Linking with Multiple Knowledge Bases: An Ontology Modularization Approach
  35. Altmetric Badge
    Chapter 34 Populating Entity Name Systems for Big Data Integration
  36. Altmetric Badge
    Chapter 35 Semantic Complex Event Processing for Decision Support
  37. Altmetric Badge
    Chapter 36 The Semantic Web – ISWC 2014
  38. Altmetric Badge
    Chapter 37 Detecting and Correcting Conservativity Principle Violations in Ontology Mappings
Attention for Chapter 14: Semantic Web Application Development with LITEQ
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Chapter title
Semantic Web Application Development with LITEQ
Chapter number 14
Book title
The Semantic Web – ISWC 2014
Published by
Springer International Publishing, October 2014
DOI 10.1007/978-3-319-11915-1_14
Book ISBNs
978-3-31-911914-4, 978-3-31-911915-1
Authors

Martin Leinberger, Stefan Scheglmann, Ralf Lämmel, Steffen Staab, Matthias Thimm, Evelyne Viegas

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 10%
Egypt 1 10%
Unknown 8 80%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 50%
Student > Master 3 30%
Other 2 20%
Researcher 1 10%
Readers by discipline Count As %
Computer Science 10 100%
Unspecified 1 10%