User:Ilya/Registry

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Data or Metadata

(from LSID best practices) Data is defined as a sequence of unchanging bytes. Examples of data are microscope images, a protein sequence, a text file, etc. Metadata is usually information that describes the data either literally (date created, MD5 check sum, size) or contains information describing the relationship between the data and other objects. If you cannot determine what should be data and what should be metadata from your data model, follow this rule of thumb: Large byte sequences are easier to manipulate as data, while short byte sequences can be included as data, metadata, or made available in both forms.

Miscellaneous

• Semantics - the meaning that is implied by words and sentences.
• Software agent can search distributed registries using an ontology. This is impossible right now because storage schema is unknown.
• Data is represented by a graph of triples (statements about resources)
• Syntax doesn't matter: there are many ways to serialize the data (XML, N3, etc).
• Ontology vs taxonomy vs thesaurus vs list
• Folksonomy vs Collabulary
• HCLS task forces:
  • BIORDF (Structured data to RDF) - Susie Stephen, Joanne Luciano co-leads
  • T2S (Text to Structured RDF) - Robert Futrelle, Matthew Cockerill

To Do

• Use LSID for parts identification
• How ot represent sequence features?
  • Part has features and has a sequence
  • Sequence has features but a part already has sequence

From XML to RDF

(from [1])

• ?

Links

• Google Base
• RDF in Mozilla

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