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Ocean knowledge representation through integration of big data employing semantic web technologies
Implementation of ocean observation sensors are booming in recent years for encouraging research among coastal areas all over the world. This results...
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Semantic integration of heterogeneous healthcare data based on hybrid root linked health record ontology
Merging data from several databases is called heterogeneous database integration. Integrating diverse databases in the same area faces three major...
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An interoperable web-based application for 3d city modelling and analysis
This study presents a web-based application developed for the efficient management of large 3D city models (3DCMs) which are challenging in terms of...
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Integration of Building Information Modeling (BIM) and Geographic Information System (GIS): a new approach for IFC to CityJSON conversion
Within the contemporary urban development discourse, the paradigm of smart cities has gained prominence over the past two decades. Ensuring...
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Knowledge Graph for Identifying Geological Disasters by Integrating Computer Vision with Ontology
The occurrence of geological disasters can have a large impact on urban safety. Protecting people’s safety is the most important concern when...
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Role of Digital Technologies, Robotics, and Augmented Realities
Several examples testify how the evolution in applied technologies to cultural heritage has improved significantly in the last decades in terms of...
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Integrating NLP and Ontology Matching into a Unified System for Automated Information Extraction from Geological Hazard Reports
Many detailed data on past geological hazard events are buried in geological hazard reports and have not been fully utilized. The growing...
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Knowledge map** and trends in research on remote sensing change detection using CiteSpace analysis
Detection of change through remote sensing (RS) is widely used in Earth observation and environment surveys, whereas the introduction of bibliometric...
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A deep learning-based method for deep information extraction from multimodal data for geological reports to support geological knowledge graph construction
Earth science research has entered a period of major transition centered on building new knowledge systems and driven by the overwhelming...
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A Practical Approach to Constructing a Geological Knowledge Graph: A Case Study of Mineral Exploration Data
Open data initiatives have promoted governmental agencies and scientific organizations to publish data online for reuse. Research of geoscience...
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Design and Construction of Lightweight Domain Ontology of Tectonic Geomorphology
As data size grows and computing power evolves, artificial intelligence has become one of the most important tools for assisting data-intensive...
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Rapid Evaluation and Response to Impacts on Critical End-Use Loads Following Natural Hazard-Driven Power Outages: A Modular and Responsive Geospatial Technology
The disparate nature of data for electric power utilities complicates the emergency recovery and response process. The reduced efficiency of response...
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Scientific and Technological Support: Fundamental Theoretical Issues with Revolutionary Technologies
Global-scale collaborative observation on land and sea requires cutting-edge deep-Earth research. The fundamental prerequisite for obtaining full...
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Analysis of public emotion on flood disasters in southern China in 2020 based on social media data
The exploding popularity of social networks provides a new opportunity to study disasters and public emotion. Among the social networks, Weibo is one...
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Applications of Natural Language Processing to Geoscience Text Data and Prospectivity Modeling
Geological maps are powerful models for visualizing the complex distribution of rock types through space and time. However, the descriptive...
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Paleontology Knowledge Graph for Data-Driven Discovery
A knowledge graph (KG) is a knowledge base that integrates and represents data based on a graph-structured data model or topology. Geoscientists have...
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Digital twin-driven intelligence disaster prevention and mitigation for infrastructure: advances, challenges, and opportunities
Natural hazards, which have the potential to cause catastrophic damage and loss to infrastructure, have increased significantly in recent decades....
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A systematic review of natural language processing applications for hydrometeorological hazards assessment
Natural language processing (NLP) is a promising tool for collecting data that are usually hard to obtain during extreme weather, like community...
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Design and application of an ontology to identify crop areas and improve land use
Agricultural development in Colombia has been characterized by being carried out in a local and traditional way, where important basic aspects are...
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Sustainable integrated urban flood management strategies for planning of smart cities: a review
Accelerated urbanization, changes in climate and rapid increase in urban population have several impacts on the urban hydrological cycle. Severe...
