The development of an ontology-based semantic interoperability framework for cross-domain geospatial information

  • 郭 巧玲

Student thesis: Doctoral Thesis


Geodata is one of the essential components of the Geographic Information System (GIS) The various characteristics of domain geodata play a key role in assessing the integration results of GIS With the recently advanced measurement and mapping technology diverse types of geodata have been produced rapidly by different domains Despite of such success heterogeneities remain a common challenge during interoperable processing of GIS applications Specifically problems caused by semantic heterogeneity must be solved during integration because geodata with distinguished characteristics and specific meanings are often independently established by different domains from their own perspectives Semantic integration of geodata between different domains is the main focus of this thesis We aim to address two issues namely cross-domain ontology integration and cross-domain geospatial information semantic interoperability For cross-domain ontology integration an ontology-based geospatial semantic integration framework is proposed We develop a semi-automatic approach to establish a bridge ontology that represents the semantics between concepts For cross-domain geospatial information semantic interoperability a conceptual semantic interoperability framework based on bridge ontology is designed We apply this framework for developing an automatic change detection mechanism Bridge ontology is a type of ontology integration being developed for representing the relationships between concepts of two domains A novel semi-automatic approach based on common vocabulary ontology is proposed to establish bridge ontology between the two selected domains We start by using common vocabulary ontology to manually establish enriched domain ontology The semantics of each concept in the enriched domain ontology is presented by an extendable and structural definition that follows Resource Description Framework triple statements subject-predicate-object The bridge ontology is then constructed automatically via the proposed algorithm by comparing the term hierarchy and value of the structural definition of concepts In the bridge ontology five semantic relationships namely sem_exact sem_subset sem_superset sem_overlap and sem_null are proposed to formally present the semantic differences of concepts between two domains A semantic interoperability framework for cross-domain geospatial information is developed to facilitate the multi-purpose reuse of existing geodata from a semantic interoperability perspective The framework is composed of six fundamental components involving the consideration of semantics and the properties of geodata: domain ontology bridge ontology geodata rule processing system and result Two crucial components are semantic relationships and rules Rules are application knowledge designed upon the characteristics and semantic relationships of the selected domains of geodata The application results are also determined by rules For the automatic change detection mechanism we conclude three categories and six types of analyzed results namely confirmed_result category: No_Change Change_To Concept and Change_No Concept; uncertain_change category: Uncertain_I and Uncertain_II; and unprocessed category: Non_process This design enables the automatic and interoperable processing of geodata from two different domains in an integrated fashion To test the proposed framework topographic map data is used to detect the changes of land use data After domain ontologies and bridge ontology were both established we successfully subdivided the whole region into area units of different update suggestions by applying change detection knowledge The characteristics and limitations of these two data sources are also discussed The implemented prototype gives a promising success to the semantic interoperability of cross-domain applications Furthermore this framework is not restricted to change detection tasks only any cross-domain integration and interoperability tasks can be accomplished following similar methodologies proposed in this thesis
Date of Award2015 Dec 28
Original languageEnglish
SupervisorJung-Hong Hong (Supervisor)

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