Web Technologies and Applications

15th Asia-Pacific Web Conference, APWeb 2013, Sydney, Australia, April 4-6, 2013. Proceedings

ISBN: 978-3-642-37400-5 (Print) 978-3-642-37401-2 (Online)

Table of contents (80 chapters)

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  1. Front Matter

    Pages -

  2. Tutorials

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      Pages 1-1

      Understanding Short Texts

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      Pages 2-2

      Managing the Wisdom of Crowds on Social Media Services

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      Pages 3-6

      Search on Graphs: Theory Meets Engineering

  3. Distributed Processing:

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      Pages 7-18

      A Simple XSLT Processor for Distributed XML

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      Pages 19-30

      Ontology Usage Network Analysis Framework

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      Pages 31-42

      Energy Efficiency in W-Grid Data-Centric Sensor Networks via Workload Balancing

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      Pages 43-50

      Update Semantics for Interoperability among XML, RDF and RDB

  4. Graphs

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      Pages 51-62

      GPU-Accelerated Bidirected De Bruijn Graph Construction for Genome Assembly

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      Pages 63-74

      K Hops Frequent Subgraphs Mining for Large Attribute Graph

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      Pages 75-87

      Privacy Preserving Graph Publication in a Distributed Environment

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      Pages 88-95

      Correlation Mining in Graph Databases with a New Measure

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      Pages 96-107

      Improved Parallel Processing of Massive De Bruijn Graph for Genome Assembly

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      Pages 108-119

      B3Clustering: Identifying Protein Complexes from Protein-Protein Interaction Network

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      Pages 120-131

      Detecting Event Rumors on Sina Weibo Automatically

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      Pages 132-139

      Uncertain Subgraph Query Processing over Uncertain Graphs

  5. Web Search and Web Mining

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      Pages 140-150

      Improving Keyphrase Extraction from Web News by Exploiting Comments Information

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      Pages 151-162

      A Two-Layer Multi-dimensional Trustworthiness Metric for Web Service Composition

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      Pages 163-175

      An Integrated Approach for Large-Scale Relation Extraction from the Web

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      Pages 176-183

      Multi-QoS Effective Prediction in Web Service Selection

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      Pages 184-195

      Accelerating Topic Model Training on a Single Machine

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