The IGN-E Case: Integrating Through a Hidden Ontology

Gómez-Pérez, A.; Ramos, Ja.; Rodríguez-Pascual, Antonio Federico; Vilches‐Blázquez, Luis M.

doi:10.1007/978-3-540-68566-1_24

Cited by 11 publications

(13 citation statements)

References 4 publications

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“…National mapping agencies have worked on the development of ontologies describing cartographic objects (Gómez-Pérez et al, 2008). However, these ontologies focus on data integration from different sources and do not provide a formal description for reasoning.…”

Section: Landform Ontologiesmentioning

confidence: 99%

A Conceptual Model for the Representation of Landforms Using Ontology Design Patterns

Guilbert¹,

Moulin²,

Murcia³

2016

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:A landform is an area of a terrain with its own recognisable shape. Its definition is often qualitative and inherently vague. Hence landforms are difficult to formalise in view of their extraction from a DTM. This paper presents a two-level framework for the representation of landforms. The objective is to provide a structure where landforms can be conceptually designed according to a common model which can be implemented. It follows the principle that landforms are not defined by geometrical characteristics but by salient features perceived by people. Hence, these salient features define a skeleton around which the landform is built. The first level of our model defines general concepts forming a landform prototype while the second level provides a model for the translation of these concepts and landform extraction on a DTM. The model is still under construction and preliminary results together with current developments are also presented.

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Section: Landform Ontologiesmentioning

confidence: 99%

A Conceptual Model for the Representation of Landforms Using Ontology Design Patterns

Guilbert¹,

Moulin²,

Murcia³

2016

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.

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“…Existing work in this domain consists in the establishment of a core reference or a domain ontology collecting and formalising knowledge gathered from experts. Major sources of landform taxonomy are provided by spatial data standards such as SDTS and by national mapping agencies such as the IGN-E in Spain [5] and the Ordnance Survey in the UK 3 . Proposed ontologies rely on several ontologies including a topographic ontology and a hydrologic ontology.…”

Section: Landform Classificationmentioning

confidence: 99%

“…The purpose of the document is to set a standard for communication (the terminology is available in several languages) and for the denomination of undersea features (with a guideline for naming features). Although this document is only a terminology with definitions in natural language, it defines a standard, classifies more terms and provides more precise definitions than the Geo-Wordnet 4 database or USGS's SDTS 5 . Therefore this document provides a uniform view of undersea features solving most semantic difficulties [9] and is used as a base for the definition of the ontology of submarine features.…”

Section: Landform Classificationmentioning

confidence: 99%

An Ontology for Submarine Feature Representation on Charts

Guilbert

Saux

2014

Lecture Notes in Computer Science

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A landform is a subjective individuation of a part of a terrain. Landform recognition is a difficult task because its definition usually relies on a qualitative and fuzzy description. Achieving automatic recognition of landforms requires a formal definition of the landforms properties and their modelling. In the maritime domain, the International Hydrographic Organisation published a standard terminology of undersea feature names which formalises a set of definition mainly for naming and communication purpose. This terminology is here used as a starting point for the definition of an ontology of undersea features and their automatic classification from a terrain model. First, an ontology of undersea features is built. The ontology is composed of an application domain ontology describing the main properties and relationships between features and a representation ontology deals with representation on a chart where features are portrayed by soundings and isobaths. A database model was generated from the ontology. Geometrical properties describing the feature shape are computed from soundings and isobaths and are used for feature classification. An example of automatic classification on a nautical chart is presented and results and ongoing research are discussed.

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“…Existing works on ontologies in cartography are of two kinds and were mainly conducted by national mapping agencies. On one hand, domain ontologies describing the knowledge portrayed on the map were designed by the Spanish mapping agency (IGN-E) (Gómez-Pérez et al, 2008) and the Ordnance Survey in the UK 1 . Both ontologies rely on several ontologies including a topographic ontology and a hydrological ontology.…”

Section: Ontologies For Cartographic Representationmentioning

confidence: 99%

An ontology for the generalisation of the bathymetry on nautical charts

Ju¹,

Guilbert

Saux³

2014

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.

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On nautical charts, undersea features are portrayed by sets of soundings (depth points) and isobaths (depth contours) from which map readers can interpret landforms. Different techniques were developed for automatic soundings selection and isobath generalisation from a sounding set. These methods are mainly used to generate a new chart from the bathymetric database or from a large scale chart through selection and simplification however a part of the process consists in selecting and emphasising undersea features on the chart according to their relevance to navigation. Its automation requires classification of the features from the set of isobaths and soundings and their generalisation through the selection and application of a set of operators according not only to geometrical constraints but also to semantic constraints. <br><br> The objective of this paper is to define an ontology formalising undersea feature representation and the generalisation process achieving this representation on a nautical chart. The ontology is built in two parts addressing on one hand the definition of the features and on the other hand their generalisation. The central concept is the undersea feature around which other concepts are organised. The generalisation process is driven by the features where the objective is to select or emphasise information according to their meaning for a specific purpose. The ontologies were developed in Protégé and a bathymetric database server integrating the ontology was implemented. A generalisation platform was also developed and examples of representations obtained by the platform are presented. Finally, current results and on-going research are discussed.

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The IGN-E Case: Integrating Through a Hidden Ontology

Cited by 11 publications

References 4 publications

A Conceptual Model for the Representation of Landforms Using Ontology Design Patterns

A Conceptual Model for the Representation of Landforms Using Ontology Design Patterns

An Ontology for Submarine Feature Representation on Charts

An ontology for the generalisation of the bathymetry on nautical charts

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