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Web Information Systems and Technologies

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Cover of 'Web Information Systems and Technologies'

Table of Contents

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    Book Overview
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    Chapter 1 How People and Stakeholders Shape Standards: The Case of IEEE 802.11
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    Chapter 2 Semantic Building Information Model and Multimedia for Facility Management
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    Chapter 3 Service Reliability Assessment in a Composition Environment
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    Chapter 4 Automatic Web Service Tagging Using Machine Learning and WordNet Synsets
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    Chapter 5 Minimal-Footprint Middleware to Leverage Qualified Electronic Signatures
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    Chapter 6 Structured Collaborative Tagging: Is It Practical for Web Service Discovery?
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    Chapter 7 In-Context Annotations for Refinding and Sharing
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    Chapter 8 Concept Signatures and Semantic Drift
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    Chapter 9 TagMe!: Enhancing Social Tagging with Spatial Context
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    Chapter 10 Personalized Information Search and Retrieval through a Desktop Application
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    Chapter 11 Web Information Systems Portfolios: A Contribution to Pragmatics
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    Chapter 12 Efficient Literature Research Based on Semantic Tagnets: Implemented and Evaluated for a German Text-Corpus
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    Chapter 13 Personalized e-Government Services: Tourism Recommender System Framework
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    Chapter 14 Building a Community Information System for Supporting Disabled Bus Riders and Local Businesses
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    Chapter 15 An Empirical Study on Machine Learning-Based Sentiment Classification Using Polarity Clues
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    Chapter 16 The Generalist Recommender System GRSK and Its Extension to Groups
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    Chapter 17 Extending User Profiles in Collaborative Filtering Algorithms to Alleviate the Sparsity Problem
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    Chapter 18 Automatic Short Text Annotation for Question Answering System
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    Chapter 19 Ad-Hoc Georeferencing of Web-Pages Using Street-Name Prefix Trees
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    Chapter 20 Web Page Classification Using Image Analysis Features
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    Chapter 21 Towards a Better Semantic Matching for Indexation Improvement of Error-Prone (Semi-)Structured XML Documents
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Title
Web Information Systems and Technologies
Published by
Springer Berlin Heidelberg, August 2011
DOI 10.1007/978-3-642-22810-0
ISBNs
978-3-64-222809-4, 978-3-64-222810-0
Editors

Filipe, Joaquim, Cordeiro, José

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 17%
Unknown 5 83%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 33%
Student > Master 1 17%
Student > Bachelor 1 17%
Student > Ph. D. Student 1 17%
Professor > Associate Professor 1 17%
Other 0 0%
Readers by discipline Count As %
Computer Science 5 83%
Economics, Econometrics and Finance 1 17%