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Title
Abstract
Key Takeaways
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Introduction
Framework for Geographic Data Integration
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Database Systems

An Ontology-Based Framework for Geographic Data Integration

Profile image of Marco A. CasanovaMarco A. Casanova

2016

https://doi.org/10.1007/978-3-642-04947-7_40
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10 pages

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Abstract

Abstract. Ontologies have been extensively used to model domain-specific knowledge. Recent research has applied ontologies to enhance the discovery and retrieval of geographic data in Spatial Data Infrastructures (SDIs). However, in those approaches it is assumed that all the data required for answering a query can be obtained from a single data source. In this work, we propose an ontology-based framework for the integration of geographic data. In our approach, a query posed on a domain ontology is rewritten into sub-queries submitted over multiples data sources, and the query result is obtained by the proper combination of data resulting from these sub-queries. We illustrate how our framework allows the combination of data from different sources, thus overcoming some limitations of other ontology-based approaches. Our approach is illustrated by an example from the domain of aeronautical flights.

Key takeaways
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AI

  1. This framework integrates geographic data by rewriting queries into sub-queries across multiple data sources.
  2. Semantic heterogeneity in Spatial Data Infrastructures (SDIs) complicates data integration efforts.
  3. The approach utilizes Description Logics (DL) for effective semantic mapping and reasoning.
  4. A significant limitation of existing methods is the reliance on single data source completeness for query answers.
  5. Future work will focus on application ontology generation and optimizing query processing algorithms.
Figures (5)
Fig. 1. Ontology-based Architecture for discovery and retrieval of geographic information Figure 1 describes the main components of the proposed framework. The mediated schema is represented by a domain ontology (DO), which provides a conceptual representation of the application domain (a global shared vocabulary). Each feature type schema, offered via a WFS, is described by an application ontology (AO) whose vocabulary is restricted to be a subset of the vocabulary of DO. The Global Ontology consists of the union of the application ontologies, and a set of axioms that define inter-ontology properties. The mediated mapping defines the concepts and properties of the domain ontology in terms of the vocabularies of the global ontology, whereas the Jocal mappings define the classes and properties of the application ontologies in terms of the elements of its feature type schemas. In our approach, the global ontology plays a key role in order to deal with data integration. Application ontologies help breaking the query answering problem into two sub-problems, as discussed in Section 4. They are also a notational convenience to divide the definition of the mappings into two stages: the definition of the mediated mapping and the definition of the local mappings.
Fig. 1. Ontology-based Architecture for discovery and retrieval of geographic information Figure 1 describes the main components of the proposed framework. The mediated schema is represented by a domain ontology (DO), which provides a conceptual representation of the application domain (a global shared vocabulary). Each feature type schema, offered via a WFS, is described by an application ontology (AO) whose vocabulary is restricted to be a subset of the vocabulary of DO. The Global Ontology consists of the union of the application ontologies, and a set of axioms that define inter-ontology properties. The mediated mapping defines the concepts and properties of the domain ontology in terms of the vocabularies of the global ontology, whereas the Jocal mappings define the classes and properties of the application ontologies in terms of the elements of its feature type schemas. In our approach, the global ontology plays a key role in order to deal with data integration. Application ontologies help breaking the query answering problem into two sub-problems, as discussed in Section 4. They are also a notational convenience to divide the definition of the mappings into two stages: the definition of the mediated mapping and the definition of the local mappings.
An Ontology-Based Framework for Geographic Data Integration
An Ontology-Based Framework for Geographic Data Integration
Fig. 3.Domain Ontology AirportOnto. Fig.4.Application Ontologies and Global Ontology
Fig. 3.Domain Ontology AirportOnto. Fig.4.Application Ontologies and Global Ontology
An Ontology-Based Framework for Geographic Data Integration
An Ontology-Based Framework for Geographic Data Integration
Figure 8 illustrates the steps necessary for decomposing the query Q in sub-querie expressed in terms of the application ontologies.
Figure 8 illustrates the steps necessary for decomposing the query Q in sub-querie expressed in terms of the application ontologies.

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References (23)

  1. $A1:hasPart ≡ AIXM1:hasLocation • inside • AIXM2:RWYhasLocation
  2. $A2:supports ≡ AIXM2:RWYhasLength • greater_than • AIRFRAMES:minRWYLength
  3. $A3:same-as ≡ DAFIF:type • AIRFRAMES:type
  4. $A4:capacity ≡ $A3:same-as • AIRFRAMES:capacity Fig. 5. Inter-Ontology Properties.
  5. Concept Mappings:
  6. Airport ≡ DAFIF:Airport AIXM1:Airport
  7. Runway ≡ DAFIF:Runway AIXM2:Runway
  8. Aircraft ≡ DAFIF:Aircraft AIRFRAMES:Aircraf Property Mappings:
  9. hasLocation ≡ DAFIF:hasLocation AIXM1:hasLocation
  10. hasPart ≡ DAFIF:hasPart $A1:hasPart
  11. hasLength ≡ DAFIF:RWYhasLength AIXM2:RWYhasLength
  12. supports ≡ DAFIF:supports $A2:supports
  13. capacity ≡ $A4:capacity AIRFRAMES:capacity Fig. 6. Mediated Mappings.
  14. Concept Mappings: DAFIF:Airport ≡ DAFIF_ARPT DAFIF:Runway ≡ DAFIF_ARPT/runway DAFIF:Aircraft ≡ DAFIF_ARPT/runway/aircraft Property Mappings: DAFIF:hasArptID ≡ DAFIF_ARPT / arpt_ident DAFIF:hasIcao ≡ DAFIF_ARPT / icao DAFIF:hasName ≡ DAFIF_ARPT / name DAFIF:hasLocation ≡ DAFIF_ARPT / geom DAFIF:hasPart ≡ DAFIF_ARPT / runway DAFIF:RWYhasId ≡ DAFIF_ARPT / runway / rwy_ident DAFIF:RWYhasIcao ≡ DAFIF_ARPT / runway / icao DAFIF:RWYhasLocation ≡ DAFIF_ARPT / runway / geom DAFIF:RWYhasLength ≡ DAFIF_ARPT / runway / length DAFIF:supports ≡ DAFIF_ARPT / runway / aircraft DAFIF:type ≡ DAFIF_ARPT / runway / aircraft / type DAFIF:hasWeight ≡ DAFIF_ARPT / runway / aircraft / weight Fig. 7. Local Mappings from the feature type schema DAFIF_ARPT to its Application Ontology. References
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Related topics

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