6. CHALLENGES AND Ontology Languages: • Expressivity OPPORTUNITIES: Reasoning support To make the semantic web Web compliance working we need the ontology Ontology Reasoning: • technology as follows: Large scale knowledge handling o Fault-tolerant o Stable & scalable inference machines 7. BOTTLENECKS: Ontology Management Techniques: • Sufficient metadata is the main o Editing and browsing bottleneck of the Semantic Web. There o Storage an d retrieval is a loop: o Versioning and evolution Support - Without metadata, no applications will Ontology Integration Techniques: • be built o Ontology mapping, alignment, - Without applications, no one will merging create metadata o Semantic interoperability determination
6. CHALLENGES AND OPPORTUNITIES: To make the semantic web working we need the ontology technology as follows: • Ontology Languages: Expressivity Reasoning support Web compliance • Ontology Reasoning: Large scale knowledge handling o Fault-tolerant o Stable & scalable inference machines • Ontology Management Techniques: o Editing and browsing o Storage an d retrieval o Versioning and evolution Support • Ontology Integration Techniques: o Ontology mapping, alignment, merging o Semantic interoperability determination 7. BOTTLENECKS: Sufficient metadata is the main bottleneck of the Semantic Web. There is a loop: - Without metadata, no applications will be built - Without applications, no one will create metadata
16Data-mining.docx