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Web Information Systems Engineering – WISE 2013

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Table of Contents

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    Book Overview
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    Chapter 1 Entity Correspondence with Second-Order Markov Logic
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    Chapter 2 Learning Social Relationship Strength via Matrix Co-Factorization with Multiple Kernels
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    Chapter 3 NEXIR: A Novel Web Extraction Rule Language toward a Three-Stage Web Data Extraction Model
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    Chapter 4 Heterogeneous Metric Learning for Cross-Modal Multimedia Retrieval
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    Chapter 5 Efficient Online Novelty Detection in News Streams
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    Chapter 6 Detecting Opinion Drift from Chinese Web Comments Based on Sentiment Distribution Computing
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    Chapter 7 Feature Extraction from Micro-blogs for Comparison of Products and Services
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    Chapter 8 Directional Context Helps: Guiding Semantic Relatedness Computation by Asymmetric Word Associations
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    Chapter 9 Web Information Systems Engineering – WISE 2013
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    Chapter 10 Exploiting User Queries for Search Result Clustering
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    Chapter 11 Towards Context-Aware Social Recommendation via Trust Networks
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    Chapter 12 Personalized Recommendation on Multi-Layer Context Graph
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    Chapter 13 Recommending Tripleset Interlinking through a Social Network Approach
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    Chapter 14 Improving Rocchio Algorithm for Updating User Profile in Recommender Systems
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    Chapter 15 Time-Aware Travel Attraction Recommendation
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    Chapter 16 CGMF: Coupled Group-Based Matrix Factorization for Recommender System
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    Chapter 17 Authenticating Users of Recommender Systems Using Naive Bayes
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    Chapter 18 Taxonomy Based Personalized News Recommendation: Novelty and Diversity
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    Chapter 19 Distinguishing Social Ties in Recommender Systems by Graph-Based Algorithms
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    Chapter 20 Personalized Location-Aware QoS Prediction for Web Services Using Probabilistic Matrix Factorization
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    Chapter 21 Verifying Transactional Requirements of Web Service Compositions Using Temporal Logic Templates
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    Chapter 22 Transitional Resource Meta-model: Generating Restful Service to Implement Complex Activity
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    Chapter 23 UCOSAIS: A Framework for User-Centered Online Service Advertising Information Search
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    Chapter 24 Near Duplicate Text Detection Using Frequency-Biased Signatures
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    Chapter 25 Web Information Systems Engineering – WISE 2013
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    Chapter 26 Multi-relational PageRank for Tree Structure Sense Ranking
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    Chapter 27 Towards Content-Aware SPARQL Query Caching for Semantic Web Applications
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    Chapter 28 A Generic Tree-Like Index Framework in the Cloud
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    Chapter 29 Optimization of XML Queries by Using Semantics in XML Schemas and the Document Structure
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    Chapter 30 Semantic Entity Identification in Large Scale Data via Statistical Features and DT-SVM
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    Chapter 31 Efficient Computation of Multiple XML Keyword Queries
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    Chapter 32 Soft Cardinality Constraints on XML Data
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    Chapter 33 A Framework for Processing Uncertain RFID Data in Supply Chain Management
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    Chapter 34 Web Information Systems Engineering – WISE 2013
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    Chapter 35 Web Information Systems Engineering – WISE 2013
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    Chapter 36 Semantic Inversion in XML Keyword Search with General Conditional Random Fields
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    Chapter 37 Automatically Training Form Classifiers
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    Chapter 38 Page-Level Wrapper Verification for Unsupervised Web Data Extraction
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    Chapter 39 Co-Learning Ranking for Query-Based Retrieval
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    Chapter 40 Fine-Grained Access Control for RDF Data on Mobile Devices
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    Chapter 41 Overview of the WISE 2013 Challenge
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    Chapter 42 Entity Extraction within Plain-Text Collections WISE 2013 Challenge - T1: Entity Linking Track
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    Chapter 43 ELS: An Efficient Entity Linking System
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    Chapter 44 Combining POS Tagging, Lucene Search and Similarity Metrics for Entity Linking
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    Chapter 45 Predicting Microblog User’s Age Based on Text Information
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    Chapter 46 Predicting Users’ Age Range in Micro-blog Network
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Title
Web Information Systems Engineering – WISE 2013
Published by
Springer, Berlin, Heidelberg, January 2013
DOI 10.1007/978-3-642-41230-1
ISBNs
978-3-64-241229-5, 978-3-64-241230-1
Editors

Xuemin Lin, Yannis Manolopoulos, Divesh Srivastava, Guangyan Huang

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 115 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
China 1 <1%
Unknown 114 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 3%
Lecturer 2 2%
Student > Master 2 2%
Professor 1 <1%
Student > Doctoral Student 1 <1%
Other 1 <1%
Unknown 105 91%
Readers by discipline Count As %
Computer Science 9 8%
Social Sciences 1 <1%
Unknown 105 91%