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Jakob Beetz, Bauke de Vries, Jos van Leeuwen Design Systems group TU/Eindhoven

Jakob Beetz, Bauke de Vries, Jos van Leeuwen Design Systems group TU/Eindhoven. Distributed Collaboration in the Context of the Semantic Web Presentation for the 8 th DDSS conference, Heeze. Overview . Motivation Overall system architecture DL-based BIM

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Jakob Beetz, Bauke de Vries, Jos van Leeuwen Design Systems group TU/Eindhoven

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  1. Jakob Beetz, Bauke de Vries, Jos van Leeuwen Design Systems group TU/Eindhoven • Distributed Collaboration in the Context of the Semantic Web Presentation for the 8th DDSS conference, Heeze

  2. Overview • Motivation • Overall system architecture • DL-based BIM • Query and partial model extraction • Reasoning / inference • Discussion & Outlook

  3. Traditional Working Methods • Traditional CA(A)D data is • Non-deterministic and ambiguous • Episodic • Highly dynamic • Continuous • Does not contain machine readable knowledge

  4. Central Building Model • Central Building Model • Founded on central databases • No specification for interaction • Assumes completeness • Appropriate for smaller projects?

  5. MAS in heterogeneous environments

  6. MAS in heterogeneous environments

  7. MAS in heterogeneous environments

  8. MAS in heterogeneous environments

  9. MAS in heterogeneous environments

  10. MAS in heterogeneous environments

  11. MAS in heterogeneous environments

  12. Motivation • Develop semantically enhanced web services, assist Grid computing • Profit from large set of research, methods and tools developed in other domains • Use knowledge representation tools for modeling • Facilitate distribution of information across networks

  13. Performance estimation use case in a MAS

  14. Topological inference task example IfcRelSpaceBoundary (as IfcConnectionSurfaceGeometry) ??? IfcSpace #949= IFCSPACE(‘guid1',#13,'1',$,$,#947,#939, 'big_room',.ELEMENT.,.INTERNAL.,$); IfcWallStandardCase #97= IFCWALLSTANDARDCASE(‘fooGuid',#13, 'Wand-035',$,$,#95,#153,$);

  15. Chain of agents for the sceneario

  16. Storing a model as ifcOWL

  17. Different Knowledge Domains in AEC/FM project • ERM • Semantic Networks • Frame based systems • DL based systems

  18. Architecture diagram of IFC 2x2

  19. IfcOWL as KRS • KRS = Terminology (TBox ) + Assertational Knowledge (ABox) • K = (T,A)

  20. Basic AL constructs ALAttribute Language Atomic concepts C,D Atomic Roles R,S Terminological Axioms: Equality CºD (used to describe definitions) Inclusion / Supsumption CmD (used to describe IS-A realtions)

  21. Basic AL constructs Terminological Axioms (cntd.): Intersection C *D Woman º Person *Female Existential quantification $R.C Mother º Woman * $hasChild.Person Value Restriction "R.C MotherOfDaughtersOnly º Woman *"hasChild.(Person *Female)

  22. Semantic Web Stack Semantic Web Structure according to Tim Berners-Lee

  23. RDF-based representations Subject Predicate Object Ora Lassila is the creator of the resource http://www.w3.org/Home/Lassila. N3 noation: “Ora Lassila” isCreatorOf w3.org/Home/Lassila <?xml version="1.0"?> <rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:s="http://description.org/schema/"> <rdf:Description about="http://www.w3.org/Home/Lassila"> <s:Creator> Ora Lassila </s:Creator> </rdf:Description> </rdf:RDF>

  24. IfcOWL T-Box in Protege

  25. IfcOWL A-Box in Protege

  26. IfcOWL Please find the Technical specification details of ifcOWL in Gehre, A. Katranuschkov, P. Wix, J. and Beetz, J. (2006). InteliGrid Deliverable D31: Ontology Specification, The InteliGrid Consortium, c/o University of Ljubljana, www.InteliGrid.com.

  27. Extracting partial models

  28. Partial Model extraction e.g. using SPARQL

  29. Communication

  30. Classic Agent Model

  31. Inter-Agent Communication Layers Communication Layers according to Laamanen & Helin

  32. Topological inference

  33. Simple Example of DL notation of ER model AL– representation of an IFC Door DoormBuildingElement* "OverallHeight.PositiveLength * "OverallWidth.PositiveLength

  34. SWRL implementation of Rules fatherOf(?x,?y) ^ brotherOf(?x,?z) -> uncleOf(?z,?y)

  35. SWRL implementation of Rules ENTITY door; SUBTYPE OF (buildingPart) height: REAL; WHERE WR : height > 0; END_ENTITY; door(?x) ^ hasHeight(?x,?height) ^ swrlb:greaterThan(?height, 0) -> WR1(?x,true)

  36. Thank you Jakob Beetz Design Systems group TU/Eindhoven • Questions, suggestions, comments very welcome

  37. IFC ontology in Protégé

  38. IFC concept structure

  39. Main differences to EXPRESS • Built-in reasoning capabilities • Built-in functions for creation and reference of distributed data • Open world vs. closed world

  40. IFC concept structure • ISO 10303-p28 xml bindings • EXPRESS (ISO 10303-11)

  41. Available Taxonomies and Ontologies • IFC 2.2x (XML Schema) • Stabu Lexicon (XML Schema) • eCOGNOS (DAML-OIL) • WordNet (OWL)

  42. Semantic Web Layers RDF Schema example from Richard Vdovjak

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