Ontology-based Land Degradation Assessment from Satellite Images

International audienceIn this paper, we introduce the idea of documenting operational chains for land degradation assessment using ontologies. We believe that this will help end-users in better understanding the land degradation characteristics and evaluate the results of the assessment process. Since the application domain is wide, various operational chains for land degradation assessment and their associated documentation exist, according to different options. This parameterization causes the development of different ontologies, which, nonetheless are to a certain extent linked because of the common software components of the corresponding operational chains. We therefore propose a hierarchical structure of these ontologies; so that several requirements such as understanding of expert knowledge interconnections and application domain variety, documentation, assimilation of new expert knowledge, and reusability of software components become feasible

TOWARDS INTENSIONAL / EXTENSIONAL INTEGRATION BETWEEN ONTOLOGIES

This paper presents ongoing research in the field of extensional mappings between ontologies. Hitherto, the task of generating mapping between ontologies has been focused on the intensional level of ontologies. The term intensional level refers to the set of concepts that are included in an ontology. However, an ontology that has been created for a specific task or application needs to be populated with instances. These comprise the extensional level of an ontology. This particular level is being generally neglected during the ontologies ’ integration procedure. Thus, although methodologies of geographic ontologies integration, ranging from alignment to true integration, have, in the course of years, presented a solid ground for information exchange, little has been done in exploring the relationships between the data. In this context, this research strives to set a framework for extensional mappings between ontologies using Information Flow. 1

Cartographic perspectives on spatial and thematic levels of detail in augmented reality: a review of existing approaches

Augmented reality (AR) is a rapidly advancing technology that enhances users’ perception of the real world by overlaying virtual elements. The geospatial community has been gradually focusing on AR because of its ability to create immersive spatial experiences and facilitate spatial learning. However, designing effective AR interfaces poses several challenges, including managing information overload, providing intuitive user interaction, and optimizing system performance. The management of the Level of Detail (LoD) is a crucial part of an AR-enhanced cartographic representations as it can greatly impact the quantity, accuracy, and usefulness of the information being conveyed and enhance the readability and usability of an application. In this paper, we present a systematic review of published research on the management of LoD for AR cartographic representations based on various dimensions that focus on the types of data that are visualized, the techniques used, and the user actions that trigger LoD change. A corpus of fifteen scientific papers involving different LoD management techniques within AR environments have been analyzed. The limited number of papers implies that this kind of applications is in its infancy. The review provides a synthesis of existing knowledge and identifies challenges for future research in this exciting and dynamic field

Reproducibility Reviews AGILE 2022

https://agile-online.org/index.php/conference-202