Synopsis
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
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