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PADTUN - Using Semantic Technologies in Tunnel Diagnosis and Maintenance Domain
Published on Jul 15, 20151991 Views
A Decision Support System (DSS) in tunnelling domain deals with identifying pathologies based on disorders present in various tunnel portions and contextual factors affecting a tunnel. Another key a
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Chapter list
Using Semantic Technologies in Tunnel Diagnosis and Maintenance00:00
EU Project NETTUN01:32
management02:25
FP7, NMP - New products, innovation-driven02:31
Tunnel Inspection & Maintenance is Crucial - 103:10
Tunnel Inspection & Maintenance is Crucial - 203:49
Tunnel Inspection & Maintenance is Crucial - 304:25
Tunnel Diagnosis Process - 105:25
Tunnel Diagnosis Process - 208:38
Tunnel Diagnosis Process - 309:02
Pathology Finding Process - 109:10
Pathology Finding Process - 210:15
Pathology Finding Process - 310:47
Pathology Finding Process - 410:59
Pathology Finding Process - 511:10
Pathology Finding Process - 611:19
PADTUN Architecture - 111:51
PADTUN Architecture - 212:00
PADTUN Ontology12:12
Ontology Engineering - 113:27
Ontology Engineering - 214:19
Ontology Engineering - 314:49
Ontology Engineering - 414:57
Ontology Engineering - 515:24
Conceptualisation - Part 1 - 115:45
Conceptualisation - Part 1 - 216:00
Top Level Concepts16:34
Pathologies17:55
Pathologies and Disorders - 118:49
Pathologies and Disorders - 218:51
Pathologies and Disorders - 318:59
Pathologies and Disorders - 419:00
Pathologies and Disorders - 519:00
Pathologies and Disorders - 619:00
Pathology and Influencing Factors - 119:01
Pathology and Influencing Factors - 219:03
Evaluation 1 and Evaluation 2 - 119:09
Evaluation 1 and Evaluation 2 - 219:12
Evaluation 1 and Evaluation 2 - 319:22
PADTUN Architecture - 319:38
Pathology Identification - 119:45
Pathology Identification - 219:54
Pathology Identification - 320:10
Identifying Regions of Interest - 120:16
Identifying Regions of Interest - 220:25
Identifying Regions of Interest - 320:45
Identifying Regions of Interest - 420:55
Identifying Regions of Interest - 521:03
Identifying Regions of Interest - 621:16
Evaluation 3 – SNCF domain experts - 121:23
Evaluation 3 – SNCF domain experts - 221:56
Evaluation 3 – SNCF domain experts - 322:09
Evaluation 3 – SNCF domain experts - 422:11
Conclusions: Lessons Learnt - 122:52
Conclusions: Lessons Learnt - 222:59
Conclusions: Lessons Learnt - 323:47
Conclusions: Lessons Learnt - 424:23