17 | | - [ ] use cases |
18 | | - [ ] myexperiment - flymine |
19 | | - [ ] any questions can be more efficient |
20 | | - [ ] questions that queries over separated DBs |
21 | | - [ ] using in-house data -> NGS |
22 | | - [ ] can be in different sources - less cost of integration |
23 | | - [ ] querying the predicates |
24 | | - [ ] discovery of DBs |
25 | | - [ ] hypothesis generation |
26 | | - [ ] compare how data can be published with existing & SW technology |
27 | | - [ ] interpreted knowledge |
28 | | - [ ] not numerical? |
29 | | - [ ] not too raw? |
30 | | - [ ] linked by predicates (even if numerical) |
31 | | - [ ] data are linked |
32 | | - [ ] migrate SQL to simple SPARQL endpoints |
33 | | - [ ] easy to convert 20 lines? |
34 | | - [ ] convert PDB relational to Sparql (kinjo-san, Fransois) |
35 | | - [ ] miRbase (raoul) |
36 | | - [ ] users do not have to know the entire schema |
37 | | - [ ] Paul |
38 | | - [ ] predict PPI using homologs (PPI in yeast -> homolog in human) |
39 | | - [ ] formulation of SPARQL queries -> RDFscape |
40 | | - [ ] can be GUI. |
42 | | quick note copied from OmniOutliner. will make it prettier later (gaou) |
| 19 | Lots of use cases in data and service integrations are available in websites such as [http://www.myexperiment.org/ myExperiment] and [http://www.flymine.org/ FlyMine]. Using semantic web, any of the existing questions and use cases can be more efficient. |
| 20 | |
| 21 | So one use case/demonstration would be to compare how data can be published with existing & SW technology. |
| 22 | |
| 23 | |
| 24 | * questions that queries over separated DBs |
| 25 | * using in-house data -> NGS |
| 26 | * can be in different sources - less cost of integration |
| 27 | * querying the predicates |
| 28 | * discovery of DBs |
| 29 | * hypothesis generation |
| 30 | * interpreted knowledge |
| 31 | * not numerical? |
| 32 | * not too raw? |
| 33 | * linked by predicates (even if numerical) |
| 34 | * data are linked |
| 35 | * migrate SQL to simple SPARQL endpoints |
| 36 | * easy to convert 20 lines? |
| 37 | * convert PDB relational to Sparql (kinjo-san, Fransois) |
| 38 | * miRbase (raoul) |
| 39 | * users do not have to know the entire schema |
| 40 | * Paul |
| 41 | * predict PPI using homologs (PPI in yeast -> homolog in human) |
| 42 | * formulation of SPARQL queries -> RDFscape |
| 43 | * can be GUI. |
| 44 | |
| 45 | - gaou (Kazuharu Arakawa) |