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Linked data, Life Sciences and RDF Stores - Exploration and Tutorialsby Jans Aasman, CEO Franz IncSan Diego Semantic web Jan 30, 2010 presentation
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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)
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")
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
GSK Competitive Analysis:
> 50 % of new products come from buying up small innovativepharma 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
DB1 DB2
Integrated Schemas, Data Integration
DB1000
CUSTOMER CARE
INVENTORY CTR
MARKETING ANALYSIS
1. Semantified Schema’s2. Product and customer ontologies3. Customer -> DB links4. Product -> DB links5. Customer/product aggregations
Tech reasons
Business Considerations
LUBM(8000) Total query time
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AllegroGraph 3.2 Other
Total
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s
Series1
LUBM(8000) queries
0100
200300400
500
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700800
1 2 3 4 5 6 7 8 9 10 11 12 13 14
Query Number
Se
co
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s
AllegroGraph 3.2
Other
LUBM(8000) with long queries zeroed
0
0.2
0.4
0.6
0.8
1
1 2 3 4 5 6 7 8 9 10 11 12 13 14
Queries
Se
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s
AllegroGraph 3.2
Other
0
50000
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150000
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Seconds
Other / Static AllegroGraph
3.2
AllegroGraph
3.2 Federated
LUBM(8000) Total Time
Total Query Time
Type Materializations
Loading and Indexing
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!)
’