- From: Health Care Life Sciences <w3.hcls@gmail.com>
- Date: Sun, 12 May 2013 22:24:17 +0000
- To: "public-semweb-lifesci@w3.org" <public-semweb-lifesci@w3.org>, dbcatalog <dbcatalog@googlegroups.com>
- Message-ID: <001a11c1f98e60c50b04dc8cdcc0@google.com>
This event has been changed.
Title: Linked Life Data
This meeting will be held using fuze: please join at http://fuze.me/19843842
Thanks to Michel for hosting!
Duration: ~1 hour
(Variable) frequency: ~weekly
Convener: M. Scott Marshall
Session Theme: Metadata for data discovery and dataset description using
SPARQL
Agenda:
* look at statistics - All
* AOB
Relevant docs:
the abstraction
-
https://docs.google.com/drawings/d/1e6qsxPkc-qKecVTJGJePE1Nuy2sD8Puu-FsEtUtGC-o/edit?disco=AAAAAFWHcnw
sample implementation using chembl:
- https://docs.google.com/file/d/0B4y0zfdRviKsS1l2NEttN3pfc1k/edit
* Remaining metadata attributes in working draft - All (time allowing)
- Working draft:
-
https://docs.google.com/spreadsheet/ccc?key=0Aoy0zfdRviKsdFJWTDFpblNXc3BtelhrdEpNYTdvbXc#gid=1
**********************************************************************
Notes from Mon. Apr. 29 (Thanks Alasdair!):
Michel presented the dataset description model for unversioned ->
versioned -> formatted -> data
Overview: https://docs.google.com/drawings/d/1e6qsxPkc-
qKecVTJGJePE1Nuy2sD8Puu-FsEtUtGC-o/edit?disco=AAAAAFWHcnw
Detailed: https://docs.google.com/file/d/0B4y0zfdRviKsS1l2NEttN3pfc1k/edit?
usp=sharing
Only an RDF data item would be able to point back to its description due to
the allowances of the data model.
Discussion on whether to repeat metadata at all levels. Each description
would be complete: simplifies query; redundancy in metadata. Flexibility of
the URIs for each level means you have several entry points. Could have
contradictions in the metadata at the different levels. Idea would be to
limit the metadata in the unversioned part to minimal data that would not
change over time.
Abstract data format, e.g. triplestore. One option would be to model it as
a separate
versioned/formatted dataset description. However there is an underlying
formatted dataset that has been loaded into the the underlying datastore
and this is what would be described. For a relational database accessible
through D2R the description would be a SQL versioned dataset with an
accessibility protocol of SPARQL. Service points to the versioned/formatted
dataset that they expose.
Different syntaxes provide different views of the data. In RDF you can
capture the relationship between the data and the metadata. This is not
generally possible in other syntaxes.
Sources: points to the exact file that was used so that bugs can be tracked
MIRIAM is a catalog that described datasets. Catalog was added.
Format types would be captured with URIs.
EDAM are amenable to extending to cover the file type that we require, Nick
has been in contact with Jon Ison. http://edamontology.org/page
ToDo: Go through different scenarios, e.g. Bio2RDF, Open PHACTS, MIRIAM and
see how these look in the model (not using any particular vocabularies). By
hand generate a full description for a dataset.
ToDo: Revisit properties in the spreadsheet to ensure that they are all
still required.
Do send questions and comments to the list! (changed)
When: Mon 2013-05-13 11:00 – 12:00 Eastern Time
Where: #hcls
Calendar: HCLS
Who:
* w3.hcls@gmail.com - organizer
* public-semweb-lifesci@w3.org
* dbcatalog
Event details:
https://www.google.com/calendar/event?action=VIEW&eid=Z3Y5ODd0aGRidDRmZ2RmbzZucWpuN2F2MW9fMjAxMzA1MTNUMTUwMDAwWiBwdWJsaWMtc2Vtd2ViLWxpZmVzY2lAdzMub3Jn&tok=MTcjdzMuaGNsc0BnbWFpbC5jb21mODEwMDI0YjJiZjAzYWU5ZWQ0MGY4MDZhYjNkZjc1MGVjZjFlMWVl&ctz=America/New_York&hl=en
Invitation from Google Calendar: https://www.google.com/calendar/
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Received on Sunday, 12 May 2013 22:24:46 UTC