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The Semantic Web – ISWC 2012

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Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 MORe: Modular Combination of OWL Reasoners for Ontology Classification
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    Chapter 2 A Formal Semantics for Weighted Ontology Mappings
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    Chapter 3 Personalised Graph-Based Selection of Web APIs
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    Chapter 4 Instance-Based Matching of Large Ontologies Using Locality-Sensitive Hashing
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    Chapter 5 Automatic Typing of DBpedia Entities
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    Chapter 6 Performance Heterogeneity and Approximate Reasoning in Description Logic Ontologies
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    Chapter 7 Concept-Based Semantic Difference in Expressive Description Logics
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    Chapter 8 SPLODGE: Systematic Generation of SPARQL Benchmark Queries for Linked Open Data
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    Chapter 9 RDFS Reasoning on Massively Parallel Hardware
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    Chapter 10 An Efficient Bit Vector Approach to Semantics-Based Machine Perception in Resource-Constrained Devices
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    Chapter 11 Semantic Enrichment by Non-experts: Usability of Manual Annotation Tools
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    Chapter 12 Ontology-Based Access to Probabilistic Data with OWL QL
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    Chapter 13 Predicting Reasoning Performance Using Ontology Metrics
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    Chapter 14 Formal Verification of Data Provenance Records
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    Chapter 15 Cost Based Query Ordering over OWL Ontologies
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    Chapter 16 Robust Runtime Optimization and Skew-Resistant Execution of Analytical SPARQL Queries on Pig
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    Chapter 17 Large-Scale Learning of Relation-Extraction Rules with Distant Supervision from the Web
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    Chapter 18 The Not-So-Easy Task of Computing Class Subsumptions in OWL RL
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    Chapter 19 Strabon: A Semantic Geospatial DBMS
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    Chapter 20 DeFacto - Deep Fact Validation
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    Chapter 21 Feature LDA: A Supervised Topic Model for Automatic Detection of Web API Documentations from the Web
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    Chapter 22 Efficient Execution of Top-K SPARQL Queries
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    Chapter 23 Collaborative Filtering by Analyzing Dynamic User Interests Modeled by Taxonomy
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    Chapter 24 Link Discovery with Guaranteed Reduction Ratio in Affine Spaces with Minkowski Measures
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    Chapter 25 Hitting the Sweetspot: Economic Rewriting of Knowledge Bases
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    Chapter 26 Mining Semantic Relations between Research Areas
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    Chapter 27 Discovering Concept Coverings in Ontologies of Linked Data Sources
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    Chapter 28 Ontology Constraints in Incomplete and Complete Data
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    Chapter 29 A Machine Learning Approach for Instance Matching Based on Similarity Metrics
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    Chapter 30 Who Will Follow Whom? Exploiting Semantics for Link Prediction in Attention-Information Networks
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    Chapter 31 On the Diversity and Availability of Temporal Information in Linked Open Data
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    Chapter 32 Semantic Sentiment Analysis of Twitter
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    Chapter 33 CrowdMap: Crowdsourcing Ontology Alignment with Microtasks
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    Chapter 34 Domain-Aware Ontology Matching
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    Chapter 35 Rapidly Integrating Services into the Linked Data Cloud
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    Chapter 36 An Evidence-Based Verification Approach to Extract Entities and Relations for Knowledge Base Population
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    Chapter 37 Blank Node Matching and RDF/S Comparison Functions
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    Chapter 38 Hybrid SPARQL Queries: Fresh vs. Fast Results
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    Chapter 39 Provenance for SPARQL Queries
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    Chapter 40 SRBench: A Streaming RDF/SPARQL Benchmark
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    Chapter 41 Scalable Geo-thematic Query Answering
Attention for Chapter 26: Mining Semantic Relations between Research Areas
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Chapter title
Mining Semantic Relations between Research Areas
Chapter number 26
Book title
The Semantic Web – ISWC 2012
Published in
Lecture notes in computer science, January 2012
DOI 10.1007/978-3-642-35176-1_26
Book ISBNs
978-3-64-235175-4, 978-3-64-235176-1
Authors

Osborne, Francesco, Motta, Enrico, Francesco Osborne, Enrico Motta

Editors

Philippe Cudré-Mauroux, Jeff Heflin, Evren Sirin, Tania Tudorache, Jérôme Euzenat, Manfred Hauswirth, Josiane Xavier Parreira, Jim Hendler, Guus Schreiber, Abraham Bernstein, Eva Blomqvist

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Austria 2 4%
United Kingdom 2 4%
Brazil 1 2%
Canada 1 2%
Spain 1 2%
Unknown 42 86%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 33%
Researcher 7 14%
Student > Master 6 12%
Student > Doctoral Student 3 6%
Student > Postgraduate 3 6%
Other 9 18%
Unknown 5 10%
Readers by discipline Count As %
Computer Science 38 78%
Engineering 2 4%
Linguistics 1 2%
Neuroscience 1 2%
Social Sciences 1 2%
Other 0 0%
Unknown 6 12%