Metadata mapping
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Metadata mapping

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  • Paper focuses on last 2 things.\n\n
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  • To understand the problem, we must define the differences/heterogeneities between metadata.\nHeterogeneities that interfere with interoperability: \nStructural (model-related): \n element definition conflicts\n naming: models elements representing same element given different name\n Identification: If they have an id, having different one (sometimes no id, only name exists)\n Constraints: datatype for example.\n Domain Representation\n Abstraction level: domain representation conflicts, entities arranged into different generalization hierarchies, or distributed into different model elements\n Multidimensional correspondences: Conflict in the multiple relationships drawn up.\n Meta-level discrepancy: information with in different elements (like naming)\n Domain coverage: one model has data x, the other does not.\nSemantic: (language differences in schema)\n Domain conflicts: different expressiveness of languages\n Terminological: naming: synonyms and homonyms\n Scaling/Unit Conflicts: different measurement units\n Representation: format of date value for example\n\n
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Metadata mapping Presentation Transcript

  • 1. Metadata MappingPresentation By Vladimir Bukhin on Oct 8th
  • 2. Contents• Metadata interoperability goals.• Definition of Metadata.• Metadata Building Blocks.• Heterogeneities with metadata .• Interoperability Solutions.• Metadata Mapping.• Conclusion.
  • 3. MetadataInteroperability Goals• Metadata interoperability: • Systems and applications can work with or use metadata across system boundaries.• Requirements: • Machines need to communicate to exchange metadata. • Machines must be able to read/process the data received. • Machines + humans must be able to interpret the metadata correctly.
  • 4. What is Metadata• Metadata: • “the sum total of what one can say about any information object at any level of aggregation, in a machine understandable representation.”• Information Object: • “anything that can be addressed and manipulated by a human or a system as a discrete entity.”
  • 5. Metadata Building Blocks - Define Schemes, meta-meta-model, UML, XML, SQL DLL. - Defines how attribute like ‘title’ will be semantically presented. - Element Definitions. - Content Rules. - Descriptive Metadata elements
  • 6. Metadata Heterogeneities
  • 7. Interoperability Solutions• Agreement on a certain model: • Accredited institution like W3C or ISO. • Consensus, Standard, or assurance of uniform implementation.• Agreement on meta-model: • Schema is defined by the same language (standard model with different implementations)• Reconciliation of structural and semantic heterogeneities: • Mapping schema languages to others’ language. • Instance transformation (changing meta attributes to correspond)
  • 8. Metadata Mapping Maintaining representations Start Find relationships and heterogeneitiesMetadata transformation. Formal Declaration of Answer queries over mapping relationships metadata sources.
  • 9. Conclusion• Mapping suggested over Standards. • Standards require licensing, software tools, personnel costs. • Mapping has high discovery cost.
  • 10. Bibliography• Haslhofer, Bernhard and Wolfgang Klas. 2010. A survey of techniques for achieving metadata interoperability. ACM Comput. Surv. 42, 2, Article 7 (February 2010), 37 pages.