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  • Produktbild: Filtering the Web to Feed Data Warehouses
  • Produktbild: Filtering the Web to Feed Data Warehouses

Filtering the Web to Feed Data Warehouses

Fr. 73.90

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

10.09.2012

Verlag

Springer London

Seitenzahl

267

Maße (L/B/H)

23.5/15.5/1.6 cm

Gewicht

438 g

Auflage

Softcover reprint of the original 1st ed. 2002

Sprache

Englisch

ISBN

978-1-4471-1107-8

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

10.09.2012

Verlag

Springer London

Seitenzahl

267

Maße (L/B/H)

23.5/15.5/1.6 cm

Gewicht

438 g

Auflage

Softcover reprint of the original 1st ed. 2002

Sprache

Englisch

ISBN

978-1-4471-1107-8

Herstelleradresse

Springer-Verlag GmbH
Tiergartenstr. 17
69121 Heidelberg
DE

Email: ProductSafety@springernature.com

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  • Produktbild: Filtering the Web to Feed Data Warehouses
  • Produktbild: Filtering the Web to Feed Data Warehouses
  • 1 Introduction.- 1.1 Information Systems.- 1.2 Information Filtering Systems.- 1.3 Database Systems.- 1.3.1 Transactional Systems.- 1.3.2 Analytical Systems.- 1.4 Organization of this Book.- 2 Data Warehouse: Corporate Knowledge Repository.- 2.1 Introduction.- 2.2 Data Warehouse Definition and Features.- 2.2.1 Definition.- 2.2.2 Metadata.- 2.2.3 Characteristic Features of Data in the Data Warehouse.- 2.3 Data Warehouse System.- 2.3.1 Architecture of the Data Warehouse System.- 2.3.2 Metadata Structures.- 2.3.3 Data Warehouse Products.- 2.4 Deploying Data Warehouse in the Organization.- 2.4.1 Data Warehouse Life Cycle.- 2.4.2 Analysis and Research.- 2.4.3 Identifying Architecture and Demands.- 2.4.4 Design and Development.- 2.4.5 Implementation and On-going Administration.- 2.5 Knowledge Management in Data Warehouses.- 2.5.1 Knowledge Management.- 2.5.2 Knowledge in Terms of Data Warehousing.- 2.5.3 Knowledge Discovery in Data Warehouses.- 2.5.4 Significance of Business Metadata.- 2.6 Evolution of the Data Warehouse.- 2.6.1 Criticism of the Traditional Data Warehouse.- 2.6.2 Virtual Data Warehouse.- 2.6.3 Information Data Superstore.- 2.6.4 Exploration Warehouse.- 2.6.5 Internet/Intranet Data Warehouse.- 2.6.6 Web Farming.- 2.6.7 Enterprise Information Portals.- 2.7 Chapter Summary.- 2.8 References.- 3 Knowledge Representation Standards.- 3.1 Introduction.- 3.1.1 Basic Concepts.- 3.1.2 Metadata Representation.- 3.1.3 Metadata Interoperability.- 3.1.4 Theory of Metadata.- 3.2 Markup Languages.- 3.2.1 Background.- 3.2.2 XML Document.- 3.2.3 Document Presentation.- 3.2.4 Document Linking.- 3.2.5 Programming Interfaces.- 3.3 Dublin Core.- 3.3.1 Dublin Core Metadata Elements.- 3.3.2 Dublin Core in HTML.- 3.4 Warwick Framework.- 3.5 Meta Content Framework.- 3.5.1 Origins of MCF.- 3.5.2 Conceptual Building Blocks of MCF.- 3.5.3 XML Syntax.- 3.5.4 Directed Labelled Graph Formalism.- 3.6 Resource Description Framework.- 3.6.1 Background.- 3.6.2 Formal RDF Data Model.- 3.6.3 The RDF Syntax.- 3.6.4 RDF Schema.- 3.7 Common Warehouse Metamodel.- 3.7.1 History of OMG Projects.- 3.7.2 Objectives of the CWM.- 3.7.3 Metadata Architecture.- 3.7.4 CWM Elements.- 3.7.5 Conclusions for CWM.- 3.8 Chapter Summary.- 3.9 References.- 4 Information Filtering And Retrieval From Web Sources.- 4.1 Introduction.- 4.1.1 Document, Information, Knowledge.- 4.1.2 Indexing.- 4.1.3 Hypertext.- 4.1.4 Information on the Web.- 4.1.5 Constraints of this Book.- 4.2 Information Retrieval Systems.- 4.2.1 Definitions.- 4.2.2 Information Retrieval System Architectures and Models.- 4.2.3 Sample Information Retrieval Systems.- 4.3 Information Filtering Systems.- 4.3.1 Filtering Versus Retrieval.- 4.3.2 Information Filtering Models and Architectures.- 4.3.3 Sample Filtering Systems.- 4.4 Internet Sources of Business Information.- 4.4.1 Business View on Internet Information Sources.- 4.4.2 General Characteristics of Business Information Sources.- 4.4.3 Information Overflow.- 4.5 Filtering the Web to Feed Business Information Systems.- 4.5.1 Problems with Web Filtering and Retrieval.- 4.5.2 New Information Filtering System Model Proposal.- 4.5.3 Transparent Filtering and Retrieval.- 4.6 Chapter Summary.- 4.7 References.- 5 Enhanced Data Warehouse.- 5.1 Introduction.- 5.2 Justification of the Need for Integration.- 5.2.1 Value of Knowledge.- 5.2.2 Attention Economy.- 5.2.3 Content Management and Lifecycle of Content.- 5.2.4 Example of Integration: Metadata and Data.- 5.3 Preliminary Vision of the System.- 5.3.1 Analytical Point of View.- 5.3.2 Trends.- 5.3.3 Goals of the System.- 5.3.4 User Requirements Towards the Information Retrieval Systems.- 5.4 Software Agents.- 5.4.1 Introduction.- 5.4.2 Intelligent Agents or Just Agents?.- 5.4.3 Software Agents or Just Agents?.- 5.4.4 Possible Applications of Agents.- 5.4.5 Definitions of Software Agents.- 5.4.6 Agent Properties.- 5.4.7 Classifications of Software Agents.- 5.4.8 Agent-based Systems and Multi-agent Systems.- 5.5 Proposed Solution: enhanced Data Warehouse.- 5.5.1 Introduction.- 5.5.2 Overview of the eDW System.- 5.5.3 Assumptions for the eDW System.- 5.5.4 Components.- 5.5.5 Agent-based System Architecture.- 5.5.6 Logging Server.- 5.5.7 Profiling Server.- 5.5.8 Source Agent Server.- 5.5.9 Document Server.- 5.5.10 Properties of eDW Agents.- 5.6 Formal Model of eDW.- 5.6.1 CSL: The Extension of the Organizational Metamodel.- 5.6.2 Time Consistency among Documents and Warehouse Data.- 5.6.3 DWL: The Intranet Collection of Relevant Documents for the Data Warehouse.- 5.6.4 enhanced Data Warehouse Report: The Final Product of the eDW System.- 5.6.5 Formal Definitions of eDW Agents.- 5.7 System Implementation.- 5.7.1 Programming Environment.- 5.7.2 System Control Centre.- 5.7.3 Communication.- 5.7.4 Status.- 5.7.5 Configuration File.- 5.7.6 Logging Server.- 5.8 Chapter Summary.- 5.9 References.- 6 Profiling.- 6.1 Introduction.- 6.2 Personalization and Data Warehouse Profiles.- 6.2.1 Classification of Information.- 6.2.2 Personalization.- 6.2.3 Personalization in Data Warehouses and its Aspects.- 6.2.4 Overview of Profile Creation.- 6.2.5 Data Warehouse Profiles.- 6.3 Algorithms Specification.- 6.3.1 Algorithm for Creating Warehouse Profiles.- 6.3.2 Computational Complexity.- 6.3.3 Thesauri.- 6.4 Profiling Server.- 6.4.1 Basic Assumptions.- 6.4.2 Profiling Agent.- 6.4.3 User Interface in Profiling Application.- 6.4.4 Sample Results.- 6.5 Chapter Summary.- 6.6 References.- 7 Source Exploitation.- 7.1 Introduction.- 7.2 Sample Business Content Providers.- 7.2.1 Sample Business Gateways.- 7.2.2 Sample Business Search Engines.- 7.2.3 Sample Business Portals and Vortals.- 7.2.4 Sample Business Online Databases.- 7.3 Information Ants to Filter Information from Internet Sources.- 7.3.1 Introduction.- 7.3.2 Ant Colony Optimization.- 7.3.3 Environment for Information Ants.- 7.3.4 Information Ants to Filter Information from the Web.- 7.3.5 Experiment with Ant-like Navigation.- 7.3.6 Advantages and Drawbacks of the Proposed Solution.- 7.4 Indexing Parser.- 7.4.1 Parsing Web Documents.- 7.4.2 Indexing Web Documents.- 7.5 Transparent Filtering in the eDW System.- 7.5.1 Building Warehouse Profiles.- 7.5.2 Registering Sources.- 7.5.3 Source Exploration.- 7.5.4 Source Penetration.- 7.6 Chapter Summary.- 7.7 References.- 8 Building Data Warehouse Library.- 8.1 Introduction.- 8.1.1 Characteristics of WWW: A Dream of Non-volatile Internet.- 8.1.2 Digital Libraries.- 8.2 Time Indexing.- 8.2.1 Finite State Automaton.- 8.2.2 Time Indexer.- 8.2.3 Trapezoidal Time Indices.- 8.2.4 Simple Overlap Measure for Trapezoidal Time Indices.- 8.3 Experiment with Time Indexing.- 8.3.1 Experiment with Time Indexing Real-World Documents.- 8.3.2 Conclusions for the eDW System.- 8.4 Future Trends: Multimedia Indexing.- 8.4.1 Introduction.- 8.4.2 Filtering Web Documents.- 8.4.3 Neural Nets for Image Categorization.- 8.4.4 The Proposed Solution ¡ª Perceptron Categorization Tree.- 8.4.5 Advantages and Drawbacks.- 8.4.6 Application for eDW.- 8.5 Chapter Summary.- 8.6 References.- 9 Context Queries And Enhanced Reports.- 9.1 Introduction.- 9.2 Context Queries.- 9.2.1 Definition of Context.- 9.2.2 Justification of Transparent Retrieval.- 9.2.3 Elements of Context.- 9.2.4 Conceptual Similarity Measure.- 9.2.5 Simple Temporal Similarity Measure.- 9.2.6 Parameterized Temporal Similarity Measure.- 9.2.7 Pertinence.- 9.3 enhanced Report.- 9.3.1 User Interface in Accessing the Information.- 9.3.2 How enhanced Report is Created.- 9.4 Reporting Application.- 9.4.1 Basic Assumptions.- 9.4.2 Description of the Algorithms.- 9.4.3 Context Query Agent.- 9.4.4 Computational Complexity.- 9.4.5 User Interface in Reporting Application.- 9.4.6 Results.- 9.5 Histograms: The Helpful Tool for Analysis.- 9.5.1 Non-parameterized Histogram.- 9.5.2 Past-oriented Analysis.- 9.5.3 Future-oriented Analysis.- 9.5.4 General Documents.- 9.5.5 Detailed Documents.- 9.5.6 Compact and Dispersed Histograms.- 9.6 Chapter Summary.- 9.7 References.- 10 Conclusions.- 10.1 Concluding Remarks.- 10.2 Improvements.- 10.3 Open Issues and Future Work.