RDF E-Commerce Advantages: A Case Study
ABSTRACT
A real-world example of aggregation and dynamic intent in a metadata framework. Included in this Case Study: core-level integration with Java and XML; alternate solutions with ebXML; RDF advantages; conversion to XML from other sources; creating filters that track data elements; delivering new locations to an aggregation template that is bi-directional in a syndicated view; pulling multiple fragments from disparate sources; web sourcing with UDDI; creating a RDF Server.
Table of Contents
1. RDF Advantages Today
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Content Management Examples
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Aggregation and ebXML
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Use of Web Servers, Servlets and Servlet Engines
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Integrating XML and Java APIs in a Metadata Framework
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Aggregation & True Dynamic Intent vs. Static Syndication
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A Real-World Example, Not a Fictional Scenario
2. Integration
Real-World Integration Successes & Challenges, Including:
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Discussion of core-level integration with Java and XML
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Conversion to XML from other sources (in this example PDF and Word documents)
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Creating filters that track data elements within HTML, DHTML or XHTML
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When a particular item changes location at the source site, it can be tracked and the new location automatically delivered to an aggregation template Java filters are created at core level or in customized Java Beans
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Integrating Data Elements with XML and ebXML
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Utilizing UDDI specs for web sourcing
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Integration Within A Metadata Framework
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Inferring contextual meaning from integrated sources
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3. Creating a True RDF Server
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Learning Contextual Meaning
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Inference Queries
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Reasoning Engines & Asking WHY?
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Defining Intelligent Engines: DESCRIBE, INFER and REASON
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What Can We Do RIGHT NOW?
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Reality vs. Future Vision
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Taking Development from "Me, too" to "Me Next!"
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Preparing for the Semantic Web