Results 71 to 80 of about 12,237 (214)
Ontological Modeling of the Knowledge Base of Intellectual GIS of Digital Agriculture
Introduction. The field of digital agriculture requires effective management of agricultural resources based on intelligent analysis of heterogeneous spatiotemporal data collected from various sensor sources.
Anisa Kasim, Masud Kasim
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Finding and sharing GIS methods based on the questions they answer
Geographic information has become central for data scientists of many disciplines to put their analyzes into a spatio-temporal perspective. However, just as the volume and variety of data sources on the Web grow, it becomes increasingly harder for ...
S. Scheider, A. Ballatore, R. Lemmens
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A Dynamic, Cost-Aware, Optimized Maintenance Policy for Interactive Exploration of Linked Data
Vast amounts of data, especially in biomedical research, are being published as Linked Data. Being able to analyze these data sets is essential for creating new knowledge and better decision support solutions.
Usman Akhtar +2 more
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This article explores the transformative potential of symbolic artificial intelligence (AI) in the field of materials science, particularly in leveraging experimental data. The article presents several symbolic AI models and discusses their applications in materials science.
Ahmed Amrani +7 more
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This paper describes the dataset curated during my MA thesis project “Il ‘Dizionario degli scrittori italiani contemporanei pseudonimi’ in Wikidata. Metodologia e risultati”, available in Zenodo.
Sara De Monaco
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Automatic Detection of Objects in 3D Point Clouds Based on Exclusively Semantic Guided Processes
In the domain of computer vision, object recognition aims at detecting and classifying objects in data sets. Model-driven approaches are typically constrained through their focus on either a specific type of data, a context (indoor, outdoor) or a set of ...
Jean-Jacques Ponciano +2 more
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Toward Full Interoperability in Materials Science: Integrating Workflows With Knowledge Graphs
The connection of conceptual workflow design, portable execution, and ontology‐based semantics leading to provenance‐rich knowledge graphs are main contributors to interoperability in materials science and a prerequisite to AI‐assisted orchestration and for interoperable Materials Acceleration Platforms.
Jan Janssen +14 more
wiley +1 more source
NITELIGHT: A Graphical Editor for SPARQL Queries
Query formulation is a key aspect of information retrieval, contributing to both the efficiency and usability of many semantic applications. A number of query languages, such as SPARQL, have been developed for the Semantic Web; however, there are, as yet,
Smart, Paul, Russell, Alistair
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A CONCEPTUAL MODEL FOR ONTOLOGY-BASED DETECTION OF INFORMATION OPERATIONS IN DIGITAL MEDIA
With the rapid growth of disinformation, cognitive manipulation and coordinated information campaigns in digital media, there is a need to develop intelligent methods for identifying and analyzing information operations.
B. Kh. Abdygalym +4 more
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Supporting AI Readiness Through Digital Workflows in Materials Science
Digitalization drives innovation in materials science by connecting data silos and turning heterogeneous processes into reusable research pipelines. Across 13 MaterialDigital projects, digital workflows reveal complementary pathways toward AI‐ready materials research, founded on structured data, persistent artifacts, executable orchestration, and ...
Marian Bruns +67 more
wiley +1 more source

