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Search Computing

Overview of attention for book
Cover of 'Search Computing'

Table of Contents

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    Book Overview
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    Chapter 1 Web Data Reconciliation: Models and Experiences
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    Chapter 2 A Domain Independent Framework for Extracting Linked Semantic Data from Tables
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    Chapter 3 Knowledge Extraction from Structured Sources
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    Chapter 4 Extracting Information from Google Fusion Tables
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    Chapter 5 Materialization of Web Data Sources
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    Chapter 6 Natural Language Interfaces to Data Services
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    Chapter 7 Mobile Multi-domain Search over Structured Web Data
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    Chapter 8 Clustering and Labeling of Multi-dimensional Mixed Structured Data
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    Chapter 9 Visualizing Search Results: Engineering Visual Patterns Development for the Web
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    Chapter 10 Extending SPARQL Algebra to Support Efficient Evaluation of Top-K SPARQL Queries
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    Chapter 11 Thematic Clustering and Exploration of Linked Data
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    Chapter 12 Support for Reusable Explorations of Linked Data in the Semantic Web
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    Chapter 13 A Survey on Proximity Measures for Social Networks
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    Chapter 14 Extending Search to Crowds: A Model-Driven Approach
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    Chapter 15 Search Computing
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    Chapter 16 An Incentive–Compatible Revenue–Sharing Mechanism for the Economic Sustainability of Multi–domain Search Based on Advertising
Attention for Chapter 9: Visualizing Search Results: Engineering Visual Patterns Development for the Web
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