
                   





...

  
 

   ...

 
   • 
   • 
 ...

   
    
   ...


...


createTripleStore(“seminar.db" )

addTriple   (Person1   first-name Steve)
addTriple   (Pe...

                        
addTriple ( Person3 neighbor-of Person1)
addTriple ( Person3 neighb...




    
    
    ...


                


                

               
 
  
    
    ...

     

                         
S1   type stream-segment
                           ...


  








GSK Competitive Analysis:


> 50 % of new products come
from buying up small innovative
pharma research companies


 > 2...



 
  ...
 

 
    
     ...


     DB1    DB2                                                  DB1000


                    Integrated Schemas, Data...


    
    
    ...

                                          
 

 ...


                                
 
 ...



 
 
    ...



   
   
   ...


                                       
                                                ...

                                       
                                                ...


 
    
   ...

 
    
...

 
    
    
    ...

                              

                            LUBM(8000) Total quer...
LUBM(8000) queries

          800
          700
          600
Seconds




          500
                                  ...
LUBM(8000) with long queries zeroed

           1

          0.8
Seconds




          0.6                                ...


                                  LUBM(8000) Total Time


        200000

        150000
      ...

 
  ...


 
    
      ...

                    
 
  
  ...


 
    
    
   ...


 
  
  
  
  ...
San Diego 2010
San Diego 2010
San Diego 2010
San Diego 2010
San Diego 2010
San Diego 2010
San Diego 2010
San Diego 2010
San Diego 2010
San Diego 2010
San Diego 2010
San Diego 2010
San Diego 2010
San Diego 2010
San Diego 2010
San Diego 2010
San Diego 2010
San Diego 2010
San Diego 2010
San Diego 2010
San Diego 2010
San Diego 2010
San Diego 2010
San Diego 2010
San Diego 2010
San Diego 2010
San Diego 2010
San Diego 2010
San Diego 2010
San Diego 2010
San Diego 2010
San Diego 2010
San Diego 2010
Upcoming SlideShare
Loading in …5
×

San Diego 2010

585 views

Published on

Linked data, Life Sciences and RDF Stores - Exploration and Tutorials

by Jans Aasman, CEO Franz Inc

San Diego Semantic web Jan 30, 2010 presentation

Published in: Education, Travel, Business
0 Comments
0 Likes
Statistics
Notes
  • Be the first to comment

  • Be the first to like this

No Downloads
Views
Total views
585
On SlideShare
0
From Embeds
0
Number of Embeds
2
Actions
Shares
0
Downloads
9
Comments
0
Likes
0
Embeds 0
No embeds

No notes for slide

San Diego 2010

  1. 1.      
  2. 2.                
  3. 3.    •  •  •    •  •  • 
  4. 4.                          
  5. 5.    • • • • • • • • • •
  6. 6.  createTripleStore(“seminar.db" ) addTriple (Person1 first-name Steve) addTriple (Person1 isa Organizer) addTriple (Person1 age 52) addTriple (Person2 first-name Jans) addTriple (Person2 isa Psychologist) addTriple (Person2 age 50) addTriple (Person3 first-name Craig) addTriple (Person3 isa SalesPerson) addTriple (Person3 age 32) addTriple (Person1 colleague-of Person2) addTriple (Person1 colleague-of Person3) addTriple (Person1 likes Pizza)
  7. 7.   addTriple ( Person3 neighbor-of Person1) addTriple ( Person3 neighbor-of Person2) addTriple ( Person3 !o:lives-in !o:Place1111) addTriple ( Place1111 !o:name !"Moraga") addTriple ( Place1111 !o:latitude !"37.12223") addTriple ( Place1111 !o:longitude !"-122.4325")
  8. 8.  
  9. 9.             
  10. 10.   
  11. 11.   
  12. 12.                       
  13. 13.  
  14. 14.   S1 type stream-segment  S1 upstream S2  S1 upstream S3  S1 left-drainage D1  S1 right-drainage D2  S1 longitude1 12.1  S1 latitude1 -121.2  S1 longitude2 12.12  S1 latitude2 -121.3 
  15. 15. 
  16. 16.  
  17. 17. 
  18. 18.    
  19. 19.   
  20. 20. GSK Competitive Analysis: > 50 % of new products come from buying up small innovative pharma research companies  > 2000 need to be tracked for competitive analysis  We tracked in one system New management New investors New whitepapers New products mentioned that are of interested to GSK New customers New partners
  21. 21. 
  22. 22.                      
  23. 23.                
  24. 24.  DB1 DB2 DB1000 Integrated Schemas, Data Integration CUSTOMER CARE INVENTORY CTR 1. Semantified Schema’s 2. Product and customer ontologies 3. Customer -> DB links MARKETING ANALYSIS 4. Product -> DB links 5. Customer/product aggregations
  25. 25.             
  26. 26.             
  27. 27. 
  28. 28.                     
  29. 29. 
  30. 30.                
  31. 31. 
  32. 32.                  
  33. 33. 
  34. 34.           Tech reasons      Business   Considerations  
  35. 35.                                        
  36. 36.                    
  37. 37.                    
  38. 38.                   
  39. 39.   LUBM(8000) Total query time 1200 1000 800 Seco n d s 600 Series1 400 200 0 AllegroGraph 3.2 Other Total
  40. 40. LUBM(8000) queries 800 700 600 Seconds 500 AllegroGraph 3.2 400 300 Other 200 100 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 Query Num ber
  41. 41. LUBM(8000) with long queries zeroed 1 0.8 Seconds 0.6 AllegroGraph 3.2 0.4 Other 0.2 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 Queries
  42. 42.  LUBM(8000) Total Time 200000 150000 Total Query Time Seconds 100000 Type Materializations 50000 Loading and Indexing 0 Other / Static AllegroGraph AllegroGraph 3.2 3.2 Federated
  43. 43.     Find all meetings that happened in November within 5 miles of Berkeley that was attended by the most important person in Jans’ friends and friends of friends. (select (?x) (ego-group person:jans knows ?group 2) SNA (actor-centrality-members ?group knows ?x ?num) SNA (q ?event fr:actor ?x) DB Lookup (qs ?event rdf:type fr:Meeting) RDFS (interval-during ?event “2008-11-01” “2008-11-06”) Temporal (geo-box-around geoname:Berkeley ?event 5 miles) Spatial !)
  44. 44.                        
  45. 45.                 
  46. 46.                    ’  
  47. 47.           

×