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Related papers: GloSIS: The Global Soil Information System Web Ont…

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The accelerating pace in the automation of agricultural tasks demands highly accurate and robust localization systems for field robots. Simultaneous Localization and Mapping (SLAM) methods inevitably accumulate drift on exploratory…

Robotics · Computer Science 2023-07-25 Javier Cremona , Javier Civera , Ernesto Kofman , Taihú Pire

In this work we propose a software platform for the collection, visualization, management and analysis of heterogeneous and multisource data for soil characteristics estimation. The platform is designed in such a way that it can easily…

Computers and Society · Computer Science 2022-11-14 Flavio Piccoli , Simone Locatelli , Paolo Napoletano , Raimondo Schettini

Feeding a larger and wealthier global population without transgressing ecological limits is increasingly challenging, as rising food demand (especially for animal products) intensifies pressure on ecosystems, accelerates deforestation, and…

Theoretical Economics · Economics 2025-10-17 Moretti Elia , Loreau Michel , Benzaquen Michael

Ontologies provide conceptual abstractions over data, in domains such as the Internet of Things, in a way that sensor data can be harvested and interpreted by people and applications. The Semantic Sensor Network (SSN) ontology is the…

Artificial Intelligence · Computer Science 2016-06-22 Prem Prakash Jayaraman , Jean-Paul Calbimonte , Hoan Nguyen Mau Quoc

The current availability of soil moisture data over large areas comes from satellite remote sensing technologies (i.e., radar-based systems), but these data have coarse resolution and often exhibit large spatial information gaps. Where data…

Machine Learning · Computer Science 2019-05-22 Danny Rorabaugh , Mario Guevara , Ricardo Llamas , Joy Kitson , Rodrigo Vargas , Michela Taufer

Presently, a very large number of public and private data sets are available around the local governments. In most cases, they are not semantically interoperable and a huge human effort is needed to create integrated ontologies and…

Databases · Computer Science 2020-05-11 Pierfrancesco Bellini , Paolo Nesi , Nadia Rauch

In this work we discuss the related challenges and describe an approach towards the fusion of state-of-the-art technologies from the Spoken Dialogue Systems (SDS) and the Semantic Web and Information Retrieval domains. We envision a…

Since Organizations have recognized that knowledge constitutes a valuable intangible asset for creating and sustaining competitive advantages, knowledge sharing has a vital role in present society. It is an activity through which…

Artificial Intelligence · Computer Science 2015-03-13 P. C. Sherimon , Reshmy Krishnan , P. V. Vinu

High-resolution gridded climate data are readily available from multiple sources, yet climate research and decision-making increasingly require country and region-specific climate information weighted by socio-economic factors. Moreover,…

Applications · Statistics 2024-12-23 Marco Gortan , Lorenzo Testa , Giorgio Fagiolo , Francesco Lamperti

Current approaches to semantics in the geospatial domain are mainly based on ontologies, but ontologies, since continue to build entirely on the symbolic methodology, suffers from the classical problems, e.g. the symbol grounding problem,…

Artificial Intelligence · Computer Science 2009-01-28 Pasquale Di Donato

Earth Observation (EO) systems are crucial for cartography, disaster surveillance, and resource administration. Nonetheless, they encounter considerable obstacles in the processing and transmission of extensive data, especially in…

This paper presents a spatial Global Sensitivity Analysis (GSA) approach in a 2D shallow water equations based High Resolution (HR) flood model. The aim of a spatial GSA is to produce sensitivity maps which are based on Sobol index…

Applications · Statistics 2016-03-24 M Abily , N. Bertrand , O Delestre , P Gourbesville , C. -M. Duluc

Sustainable global development is one of the most prevalent challenges facing the world today, hinging on the equilibrium between socioeconomic growth and environmental sustainability. We propose approaches to monitor and quantify…

Machine Learning · Computer Science 2023-12-08 Michelle W. L. Wan , Jeffrey N. Clark , Edward A. Small , Elena Fillola Mayoral , Raúl Santos-Rodríguez

CityGML is a widely adopted standard by the Open Geospatial Consortium (OGC) for representing and exchanging 3D city models. The representation of semantic and topological properties in CityGML makes it possible to query such 3D city data…

This article describes research carried out during 2023 under an International Society for Photogrammetry and Remote Sensing (ISPRS)-funded project to develop and disseminate a metadata catalogue of Earth observation data sources/products…

The growing adoption of federated data spaces, such as in the GAIA-X and the International Data Spaces (IDS) initiative, promises secure and sovereign data sharing across organizational boundaries in Industry 4.0. In manufacturing…

Species distribution models (SDMs) are one of the most common statistical methods to assess species occupancy and geographic distribution patterns. With the increasing complexity of ecological data, many methodological approaches have been…

Methodology · Statistics 2025-12-09 J. Mestre-Tomás , A. Fuster-Alonso , J. M. Bellido , M. Coll

The World Wide Web infrastructure together with its more than 2 billion users enables to store information at a rate that has never been achieved before. This is mainly due to the will of storing almost all end-user interactions performed…

Databases · Computer Science 2013-07-11 Olivier Curé , Myriam Lamolle , Chan Le Duc

In a decentralised knowledge representation system such as the Web of Data, it is common and indeed desirable for different knowledge graphs to overlap. Whenever multiple names are used to denote the same thing, owl:sameAs statements are…

Databases · Computer Science 2019-07-25 Joe Raad , Nathalie Pernelle , Fatiha Saïs , Wouter Beek , Frank van Harmelen

The Thesaurus for the Social Sciences (TheSoz) is a Linked Dataset in SKOS format, which serves as a crucial instrument for information retrieval based on e.g. document indexing or search term recommendation. Thesauri and similar controlled…

Digital Libraries · Computer Science 2019-01-15 Benjamin Zapilko , Johann Schaible , Philipp Mayr , Brigitte Mathiak
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