XXII ISPRS Congress 2012: Technical Commission VII

Bibliographic data

Multivolume work

Persistent identifier:: 1663813779

Title:: XXII ISPRS Congress 2012

Sub title:: Melbourne, Australia, 25 August-1 September 2012

Type of content:: Konferenzschrift

Year of publication:: 2013

Place of publication:: Red Hook, NY

Publisher of the original:: Curran Associates, Inc.

Identifier (digital):: 1663813779

Reihe:: ISPRS archives

Language:: English

Additional Notes:: Kongress-Thema: Imaging a sustainable future

Editor:: International Society for Photogrammetry and Remote Sensing

Author:: International Society for Photogrammetry and Remote Sensing, 22.; 2012; Melbourne

Document type:: Multivolume work

Volume

Persistent identifier:: 1663821976

Title:: Technical Commission VII

Scope:: 546 Seiten

Type of content:: Konferenzschrift

DOI:: 10.14463/KXP:1663821976

Year of publication:: 2013

Place of publication:: Red Hook, NY

Publisher of the original:: Curran Associates, Inc.

Identifier (digital):: 1663821976

Illustration:: Illustrationen, Diagramme

Reihe:: ISPRS archives (volume 39, B7 (2012))

Signature of the source:: ZS 312(39,B7)

Language:: English

Additional Notes:: Erscheinungsdatum des Originals ist ermittelt.; Literaturangaben

Usage licence:: Attribution 4.0 International (CC BY 4.0)

Editor:: International Society for Photogrammetry and Remote Sensing

Author:: International Society for Photogrammetry and Remote Sensing, 22.; 2012; Melbourne

Publisher of the digital copy:: Technische Informationsbibliothek Hannover

Place of publication of the digital copy:: Hannover

Year of publication of the original:: 2019

Document type:: Volume

Collection:: Earth sciences

Chapter

Title:: [VII/2: SAR INTERFEROMETRY]

Document type:: Multivolume work

Structure type:: Chapter

ary 22-24, 2006 ISPRS WG 11/3, 11/6 Workshop "Multiple representation and interoperability of spatial data", Hanover, Germany, February 22-24, 2006 27 e, Technical r. To achieve the model the descriptive, ro be able to OPIONL data ¡eoinformatie. TOPIONL as ry TOPIONL 10NL objects 3 in common, t. It would be a subclass of sen chosen as an have only allowed) the 10NL objects e TOPIONL iccuracy (see ible values is 3N3610/2005 3610 can be example the sts than the r sectors will lei, by which ;ector model, iships etc for ibutes of the 1EN3610 the ;atory in the ibute in the ector model. n the spatial 1L (or GML) entations of captured in e accessible ferring intra- Lecent work ted in W3C n languages, and the Web n Harmelen, Description e logic and ucts (Baader the semantic models in a :urrent XML OWL based relationships [L schemas, relationships ; specifically sentations of immunity as an ontology application example and derive from this a requirement specification for geospatial ontologies and the ontology architecture they are embedded in. They emphasis the importance of domain ontologies in the context of geospatial web service environments and they claim that the lack of a supportive environment for ontology engineering and maintaining decelerates the efficient use of ontologies in the GI community. Taking into account the requirements they identify a research action line which will help to establish such an environment. Also NMAs can benefit from having their data models defined in ontologies since formal ontologies can overcome the problem of semantic differences between data sources. The electronical trading of information can only be successful if data and information from different sources can be shared and processed automatically as well as by people. Without ontologies different systems lack the ability to discern the meaning behind the shared data making true data integration impossible. OWL and Ordnance Survey, UK The Ordnance Survey in the United Kingdom also realised that real data integration creates opportunities to increase the use of Ordnance Survey’s topographic information in ways that can go beyond the delivery of such data in the form of a map. They published several articles on research that they are doing in this area, see (Goodwin, 2005a; Goodwin, 2005b; Hart et al, 2004; Schwering and Hart, 2004; Greenwood and Hart, 2003; Hart and Greenwood, 2003). The goals of this research is long term but the intermediate benefits to Ordnance Survey are: better understanding and modelling of their data, improvements in their core database models, the development of intelligent web services, and understanding how data can be translated for many different user tasks. Furthermore, integrating Ordnance Survey data with other information sources may reduce both the time and cost of services, better enabling joined-up government and industry. In (Goodwin, 2005) the potential applications of a topographic ontology at Ordnance Survey are described, which are: sharing information to integrate and reuse knowledge and data across various applications making Ordnance Survey data more interoperable by translating between different semantics the 7000 rules that are currently used to check which combinations of geometry, form and function are valid, can be checked on consistency when expressed in OWL; a formally encoded rule about classification could aid the surveyor’s decision making process; and when the rules need to be updated it is much more easier to modify the ontology and to check if the modifications are consistent, ontologies enable to integrate business, domain and policy knowledge in an intuitive information model.that can be easily tailored and adapted to user needs theintegration of semantic and spatial technologies support location based services. Queries can be made more easy and effectively when captured in protable and reusable from of an ontology than in using standard SQL OWL and the Dutch TOPIONL data model An example of a semantic relationship is the mapping between the classes of NEN3610 and TOPIONL for the concept 'Hotel’. Due to the different way in which they model this concept, subclassing is not sufficient and a mapping of ontological properties is needed. Figure 3 portrays such a specific ontology mapping. Figure 3. Schematic diagram of an example of ontology mapping between the NEN3610 and the TOPIONL data model. Concepts are indicated by circles, instances by diamonds. An instance may have a relationship with another instance through a role. For example, a feature instance is related through the role ’hasActualBuildingFunction’ to 'AccomodationFunction’ (the role fdler). Anonymous classes A and B are created to group instances with common role fillers. An equivalence mapping is created between A and B in Description Logic by a so called asserted condition as follows: mapping: Flotel = (exists nen3610: hasActualBuildingFunction. nen3610:Accomodational Function) or (exists topi Onl.hasBuildingType.toplOnl:Hotel) In the above statement the dot separates the role from the role filler. It has a corresponding OWL encoding that is used by a reasoner to infer the correct semantics of any instance (e.g., 'Amstel Hotel’) across both data models. It has to be noted that the above mapping example excludes potential other features with accomodational function, such as toplOnkMotel and toplO:RecreationCentre. However, they can be easily added in the asserted condition. It is up to the information engineer, who integrates the models, to make the choices to include the right concepts in those mappings. More mappings and details of the reasoning process can be found in (Lemmens and De Vries, 2004) and (Lemmens, 2006). In addition, when a third model is involved (e.g. the data model of the domain of land use planning), and its concepts are related to either NEN3610 or TOPIONL, they are also connected to the other model through these mappings. An integration of the data models can also take place in the realm of geometric representations. Feature types can be related to concepts in a geometry ontology. Geometiy ontologies can be derived from the conceptual models such as ISO 19109 (ISO/TC211, 2003) and the OGC GML specification (OGC, 2003). The following Description Logic statement specifies the existence of point features within a data set: exists (hasFeatureType.(exists iso 19109:hasSpatialA ttribute Type, gml: Point)) Such statements can be used to compare different geometric representation concepts between geo data sets and services as the basis for geo information discovery, generalisation, integration, etc. Ongoing developments in ontology languages make it also possible to include rules that link an antecedent to

Access restriction

Copyright

fullscreen: Technical Commission VII (B7)

Multivolume work

Volume

Chapter

Table of contents

Cite and reuse

Monograph

Chapter

Image

Image fragment

Citation links

Citation recommendation