Contents

List of Examples

List of Figures

List of Tables

Title and Copyright Information

Preface

• Audience
• Documentation Accessibility
• Related Documents
• Conventions

What's New in Semantic Technologies?

• Storage Model Enhancements and Migration
• Support for OWL Inferencing
• New Bulk Loading Interface for Improved Performance
• Ontology-Assisted Querying of Relational Data
• Required Procedure for Using Semantic Technology Support

1 Oracle Semantic Technologies Overview

• 1.1 Introduction to Oracle Semantic Technologies
• 1.2 Semantic Data Modeling
• 1.3 Semantic Data in the Database
  • 1.3.1 Metadata for Models
  • 1.3.2 Statements
    • 1.3.2.1 Triple Uniqueness and Data Types for Literals
  • 1.3.3 Subjects and Objects
  • 1.3.4 Blank Nodes
  • 1.3.5 Properties
  • 1.3.6 Inferencing: Rules and Rulebases
  • 1.3.7 Rules Indexes
  • 1.3.8 Semantic Data Security Considerations
• 1.4 Semantic Metadata Tables and Views
• 1.5 Semantic Data Types, Constructors, and Methods
  • 1.5.1 Constructors for Inserting Triples Without Any Blank Nodes
  • 1.5.2 Constructors for Inserting Triples With or Without Any Blank Nodes
• 1.6 Using the SEM_MATCH Table Function to Query Semantic Data
  • 1.6.1 Performing Queries with Incomplete or Invalid Rules Indexes
• 1.7 Loading and Exporting Semantic Data
  • 1.7.1 Bulk Loading Semantic Data Using a Staging Table
  • 1.7.2 Batch Loading Semantic Data Using the Java API
    • 1.7.2.1 When to Choose Batch Loading
  • 1.7.3 Loading Semantic Data Using INSERT Statements
  • 1.7.4 Exporting Semantic Data
• 1.8 Quick Start for Using Semantic Data
• 1.9 Semantic Data Examples
  • 1.9.1 Example: Journal Article Information
  • 1.9.2 Example: Family Information
• 1.10 Required Procedure for Semantic Technologies Support
• 1.11 Downgrading to the Previous Oracle Database Release
• 1.12 Software Naming Changes for Semantic Technologies

2 OWL Concepts

• 2.1 Ontologies
  • 2.1.1 Example: Cancer Ontology
  • 2.1.2 Supported OWL Subsets
• 2.2 Using OWL Inferencing
  • 2.2.1 Creating a Simple OWL Ontology
  • 2.2.2 Performing Native OWL inferencing
  • 2.2.3 Performing OWL and User-Defined Rules inferencing
  • 2.2.4 Generating OWL inferencing Proofs
  • 2.2.5 Validating OWL Models and Entailments
  • 2.2.6 Using SEM_APIS.CREATE_ENTAILMENT for RDFS Inference
  • 2.2.7 Enhancing Inference Performance
  • 2.2.8 Performing Selective Inferencing (Advanced Information)
• 2.3 Using Semantic Operators to Query Relational Data
  • 2.3.1 Using the SEM_RELATED Operator
  • 2.3.2 Using the SEM_DISTANCE Ancillary Operator
    • 2.3.2.1 Computation of Distance Information
  • 2.3.3 Creating a Semantic Index of Type MDSYS.SEM_INDEXTYPE
  • 2.3.4 Using SEM_RELATED and SEM_DISTANCE When the Indexed Column Is Not the First Parameter
  • 2.3.5 Using URIPREFIX When Values Are Not Stored as URIs

3 SEM_APIS Package Subprograms

• SEM_APIS.BULK_LOAD_FROM_STAGING_TABLE
• SEM_APIS.CLEANUP_FAILED
• SEM_APIS.CREATE_ENTAILMENT
• SEM_APIS.CREATE_RULEBASE
• SEM_APIS.CREATE_RULES_INDEX
• SEM_APIS.CREATE_SEM_MODEL
• SEM_APIS.CREATE_SEM_NETWORK
• SEM_APIS.DROP_ENTAILMENT
• SEM_APIS.DROP_RULEBASE
• SEM_APIS.DROP_RULES_INDEX
• SEM_APIS.DROP_SEM_MODEL
• SEM_APIS.DROP_SEM_NETWORK
• SEM_APIS.DROP_USER_INFERENCE_OBJS
• SEM_APIS.GET_MODEL_ID
• SEM_APIS.GET_MODEL_NAME
• SEM_APIS.GET_TRIPLE_ID
• SEM_APIS.IS_TRIPLE
• SEM_APIS.LOOKUP_RULES_INDEX
• SEM_APIS.VALIDATE_ENTAILMENT
• SEM_APIS.VALIDATE_MODEL
• SEM_APIS.VALUE_NAME_PREFIX
• SEM_APIS.VALUE_NAME_SUFFIX

4 SEM_PERF Package Subprograms

• SEM_PERF.GATHER_STATS

Index