Information system support in construction industry with semantic web technologies and/or autonomous reasoning agents
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This document discusses using semantic web technologies and autonomous reasoning agents to improve information system support in the construction industry. It presents semantic web technologies like the Resource Description Framework and Linked Data approach as a way to link information structures across different systems. Autonomous reasoning agents are proposed to help address interoperability challenges by using abductive, inductive, and deductive reasoning to get the right information at the right time for design processes. The document provides examples of implementing these approaches in Java to generate models and determine beliefs for new design situations based on background knowledge and previous experiences.
Information system support in construction industry with semantic web technologies and/or autonomous reasoning agents
- 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
- 12. Design as an iterative and interactive process Information systems as environments for design tryouts 12
- 14. Design as an iterative and interactive process Autonomous reasoning agents Abductive reasoning Inductive reasoning Deductive reasoning 14
- 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
- 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