9th European Conference on Product and Process Modelling - ECPPM2012

1. Information system support in construction industry
with semantic web technologies
and/or autonomous reasoning agents
Pieter Pauwels, University of Amsterdam
Ronald De Meyer, Ghent University
Jan Van Campenhout, Ghent University

2. Interoperability: sharing information in the wild?
Information loss
2

3. Possible strategies to the interoperability challenge
•
•
•
•
•
Sharing information in the wild
Manual remodelling of information
Negotiation with top-level ontologies
Central information structure
Linked data approach
3

4. LINKED DATA APPROACH
SEMANTIC WEB TECHNOLOGIES
4

5. Linking information structures
with semantic web technologies
+
+
+
links at level of information structure
one generic language
with basis in Description Logic (DL)
worldwide usage
=> Semantic web technologies
5

6. Worldwide web of information (‘Linked Open Data cloud’)
+
worldwide usage
6

7. Resource Description Framework (RDF)
+
one generic language
with basis in Description Logic (DL)
7

8. +
links at level of information structure
CultureSampo: Finnish Culture on the
Semantic Webwww.kulttuurisampo.fi
8

9. Implementation in an AEC context
9

10. Possible strategies to the interoperability challenge
•
•
•
•
•
Sharing information in the wild
Manual remodelling of information
Negotiation with top-level ontologies
Central information structure
Linked data approach
=> How to get the right information at the right
time?
10

11. Design thinking process
Information
Information
Information
Information

12. Design as an iterative and interactive process
Information systems as environments for design tryouts
12

13. AUTONOMOUS REASONING
AGENTS
13

14. Design as an iterative and interactive process
Autonomous reasoning agents
Abductive reasoning
Inductive reasoning
Deductive reasoning
14

15. Implementation in JAVA
15

16. Conclusion
16

17. Thank you
Information system support in construction industry
with semantic web technologies
and/or autonomous reasoning agents
Pieter Pauwels - p.pauwels@uva.nl

18. Background knowledge
18

19. Implementation in JAVA
19

20. New design situation
20

21. Implementation in JAVA
21

22. e:possibleModel – e:falseModel – e:counterModel
22

23. The abduction
100 relevant previous experiences
100 models generated for each query
(‘insulation’ – ‘windows’ – ‘heater’)
> belief in ‘insulation’: 0.84
> belief in ‘windows’: 0.58
> belief in ‘heater’: 0.54
23