SEMANTIC ALIGNMENT OF DOCUMENTS WITH 3D CITY MODELS

Transcription

1 SEMANTIC ALIGNMENT OF DOCUMENTS WITH 3D CITY MODELS Camille Tardy 1, Laurent Moccozet 2 and Gilles Falquet 1 University of Geneva 1 Institute ICLE 2 Institute of Services Science FACULTÉ DES SCIENCES ÉCONOMIQUES ET SOCIALES Institut de recherche en ingénierie des connaissances et logiques de l espace

2 A Digital Library of Urban resources Documents 3D city Models content/uploads/2009/03/vancouver1980.png 2

3 Context Requires access to Task content/uploads/2009/03/vancouver1980.png 3

4 Problem Statement Navigates/ Looks at Establish semantic links between 3DCM objects and documents content/uploads/2009/03/vancouver1980.png 4

5 ContextualisaFon Represent the documents in context Visually link documents to the 3D object Requires : 1. Compute the semantic alignment relationships 2. Compute the user interface layout 5

6 Related Work 3D visualisation : NIRVE [1], Periscope[2] Contextualisation in space : Geocoding process in GIS [3] Visualisation : World Explorer [4] 6

7 A Model to Compute the Links Coverage Geonames CityGML Urbamet Annotation Domain Ontologies Link document- object content/uploads/2009/03/vancouver1980.png Semantic alignment of documents with 3D city models, C. Tardy et al. 7

8 IndexaFon and AnnotaFon Documents are indexed Annotation RDF \ile Coverage Space Time 3d object annotation CityGML representation and Geonames identi\ication 8

9 Ontology Alignment Indexation vocabularies CityGML Geonames Urbamet Domain Ontologies 9

10 IdenFficaFon Geonames CityGML Urbamet Domain Ontologies Link document- object content/uploads/2009/03/vancouver1980.png 10

11 IdenFfying city objects From CityGML to Geonames Position Function Rules to solve ambiguities 11

12 IdenFficaFon of City Objects 12

13 A Model to Compute the Links Coverage Geonames CityGML Urbamet Annotation Domain Ontologies Link document- object content/uploads/2009/03/vancouver1980.png Semantic alignment of documents with 3D city models, C. Tardy et al. 13

14 Find the connecfons Type of links Explicit (Boolean value) Direct or indirect connection Suggestion (Weight value) Through non- geographic entities Object is not contained in the 3DCM 14

15 Alignment Algorithm Input Document corpora (indexed) 3D city model (indexed) Output Matrix of links M(doc,obj) Focus on the spatial coverage 15

16 Algorithm One document, one object Cov(obj) Cov(doc) or vice versa CityGML/Geonames Search_link function 4 cases : 1. Direct link 2. Direct link by class 3. Link through non- geographic entities 4. Link by spatial proximity 16

17 Direct Link Cov(obj) G : Geneva airport G: Geneva airport Cov(doc) M(doc,obj)= true 17

18 Direct Link by Class Cov(obj) G : Geneva airport airport_ building M(doc,obj)=true Cov(doc) 18

19 Link through Non- geographic EnFFes Cov(obj) G: HUG surgery Idx(doc) M(doc,obj)=1/semantic_distance( surgery, HUG ) 19

20 Link by SpaFal Proximity e not in cov(model) e and f are spatially close G: e G: e Cov(doc) Cov(model) = f (geoname) M(doc,obj)= 1/euclidean_distance(e,f) 20

21 ParFcular SituaFons The object is a group Storeys 21

22 Example : Geneva Airport aviation.com/ Cov(doc) = Switzerland (geoname) Idx(doc) = Swiss, airline, tablets, crew 22

23 Example : Geneva Airport Cov(obj) = BuildingFunctionType : Airport_Building (citygml) Cov(model) = Geneva Canton (geoname) e (geoname ) = label : Aéroport Genève- Cointrin, feature code : S.AIRP (Airport) 23

24 Example : Geneva Airport Switzerland contains Geneva Canton Idx(doc) contains airline Link between doc and all airports objects in the model M(doc,obj)=true - > explicit_link 24

25 Example : University of Geneva Cov(doc) = Uni Dufour (geoname), Storey : name = 1 (CityGML) 25

26 Example : University of Geneva Obj is a group of 4 storeys : v o4 Storey : name = 3 v o3 Storey : name = 2 v o2 Storey : name = 1 v o1 Storey : name = 0 Cov(obj) = Uni Dufour (geoname) 26

27 Example : University of Geneva Cov(doc) and Cov(obj) contains Uni Dufour Cov(doc) - > Storey Search link with obj sub- objects Cov(o2)= Uni Dufour, Storey : name = 1 M(doc,o2)=true 27

28 Conclusion Semantic indexing Identify links through numerous connections Future Work : Evaluation via a use case Deal with fuzzy area Develop the different visualisation technics Develop the query system 28

29 References 1. W. Wiza, K. Walczak, W. Cellary, Proc. of the 9th Int. Conf. on 3D Web Technology. Periscope - A System for Adaptive 3D Visualization of Search Results (2004) 2. J. Cugini, S. Laskowski, M. Sebrechts, Proc. of IST/SPIE's 12th Annual Int. Symposium: Electronic Imaging. Design of 3D visualization of search results: Evolution and evaluation (2000) 3. C.B. Jones, A.I. Abdelmoty, D. Finch, G. Fu, S. Vaid, Proc. of the 3rd Int. Conf. on Geographic Information Science. The SPIRIT Spatial Search Engine: Architecture, Ontologies and Spatial Indexing (2004) 4. S. Ahern, M. Naaman, R. Nair, J.H.I. Yang, Proc. of the 7th JCDL. World explorer: visualizing aggregate data from unstructured text in geo- referenced collections (2007) 29