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Erwin Karbasi

The ultimate mashup -- Web services and the semantic Web, Part 4: Create an ontology - 0 views

  • In this tutorial The purpose of this tutorial series is to create a mashup application so smart that users can literally add and remove services at will, and the system will know what to do with them. The series progresses as follows: Part 1: You learn about the concept of mashups and how they work. You then build a simple version of one and also discover serious performance problems involved in making potentially dozens of Web calls. Part 2: You solve some of that problem by using DB2's new pureXML capabilities to build an XML cache, which saves the results of previous requests and also enables you to retrieve specific information.Parts 3, 4, and 5: Ultimately, you will need to use ontologies, or vocabularies that define concepts and their relationships, so in Part 3 you started that process by learning about RDF and RDFs, two key ingredients in the Web Ontology Language (OWL), which is discussed here in Part 4. In Part 5, you will take the ontologies created in Part 4 and use them to enable users to change out information sources.Part 6: At this point, you have a working application and the framework in place so that the system can use semantic reasoning to understand the services at its disposal. In this part, you give the user control, enabling him or her to pick and choose the data that is used for a custom mashup.
Erwin Karbasi

Integrate disparate data sources with Semantic Web technology - 0 views

  • Figure 3. Architecture diagram for application As Figure 3 shows: Data from the spreadsheet, the Yahoo! web service, and Wikipedia are converted to RDF. The RDF data is sorted, cross-referenced, and converted to XML by a SPARQL engine. An XSLT engine converts the XML to HTML to generate the final report.
  • Figure 3. Architecture diagram for application As Figure 3 shows: Data from the spreadsheet, the Yahoo! web service, and Wikipedia are converted to RDF. The RDF data is sorted, cross-referenced, and converted to XML by a SPARQL engine. An XSLT engine converts the XML to HTML to generate the final report.
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