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Intelligent Tools for Building a Scientific Information Platform: From Research to Implementation

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Cover of 'Intelligent Tools for Building a Scientific Information Platform: From Research to Implementation'

Table of Contents

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    Book Overview
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    Chapter 1 Some Challenges and Trends in Information Science
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    Chapter 2 An Informational Model of Open Innovation
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    Chapter 3 Basic Triangle Inequality Approach Versus Metric VP-Tree and Projection in Determining Euclidean and Cosine Neighbors
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    Chapter 4 Towards Increasing Density of Relations in Category Graphs
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    Chapter 5 Weight Learning in TRSM-based Information Retrieval
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    Chapter 6 An Analysis of Contextual Aspects of Conceptualization: A Case Study and Prospects
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    Chapter 7 Creating a Reliable Music Discovery and Recommendation System
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    Chapter 8 Web Resource Acquisition System for Building Scientific Information Database
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    Chapter 9 Analyzing Logs of the University Data Repository
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    Chapter 10 Content Analysis of Scientific Articles in Apache Hadoop Ecosystem
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    Chapter 11 Implementation of a System for Fast Text Search and Document Comparison
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    Chapter 12 Chrum: The Tool for Convenient Generation of Apache Oozie Workflows
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    Chapter 13 PrOnto: A Local Search Engine for Digital Libraries
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    Chapter 14 Further Developments of the Online Sound Restoration System for Digital Library Applications
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    Chapter 15 Overview of the Virtual Transcription Laboratory Usage Scenarios and Architecture
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    Chapter 16 University Knowledge Base: Two Years of Experience
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    Chapter 17 CLEPSYDRA Data Aggregation and Enrichment Framework: Design, Implementation and Deployment in the PIONIER Network Digital Libraries Federation
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Title
Intelligent Tools for Building a Scientific Information Platform: From Research to Implementation
Published by
Springer International Publishing, July 2014
DOI 10.1007/978-3-319-04714-0
ISBNs
978-3-31-904713-3, 978-3-31-904714-0
Editors

Bembenik, Robert, Skonieczny, Łukasz, Rybiński, Henryk, Kryszkiewicz, Marzena, Niezgódka, Marek

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Poland 1 6%
Unknown 16 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 24%
Student > Ph. D. Student 3 18%
Student > Master 3 18%
Professor 2 12%
Librarian 1 6%
Other 1 6%
Unknown 3 18%
Readers by discipline Count As %
Computer Science 10 59%
Business, Management and Accounting 2 12%
Arts and Humanities 1 6%
Medicine and Dentistry 1 6%
Unknown 3 18%