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Knowledge graph construction and application in geosciences: A review
X Ma - Computers & Geosciences, 2022 - Elsevier
Abstract Knowledge graph (KG) is a topic of great interests to geoscientists as it can be
deployed throughout the data life cycle in data-intensive geoscience studies. Nevertheless …
deployed throughout the data life cycle in data-intensive geoscience studies. Nevertheless …
BOT: The building topology ontology of the W3C linked building data group
Actors in the Architecture, Engineering, Construction, Owner and Operation (AECOO)
industry traditionally exchange building models as files. The Building Information Modelling …
industry traditionally exchange building models as files. The Building Information Modelling …
Integrating data and analysis technologies within leading environmental research infrastructures: Challenges and approaches
When researchers analyze data, it typically requires significant effort in data preparation to
make the data analysis ready. This often involves cleaning, pre-processing, harmonizing, or …
make the data analysis ready. This often involves cleaning, pre-processing, harmonizing, or …
An automated solution for measuring the progress toward FAIR research data
A Devaraju, R Huber - Patterns, 2021 - cell.com
With a rising number of scientific datasets published and the need to test their Findable,
Accessible, Interoperable, and Reusable (FAIR) compliance repeatedly, data stakeholders …
Accessible, Interoperable, and Reusable (FAIR) compliance repeatedly, data stakeholders …
Covid-on-the-Web: Knowledge graph and services to advance COVID-19 research
Scientists are harnessing their multi-disciplinary expertise and resources to fight the COVID-
19 pandemic. Aligned with this mindset, the Covid-on-the-Web project aims to allow …
19 pandemic. Aligned with this mindset, the Covid-on-the-Web project aims to allow …
Managing interrelated project information in AEC Knowledge Graphs
In the architecture, engineering and construction (AEC) industry stakeholders from different
companies and backgrounds collaborate in realising a common goal being some physical …
companies and backgrounds collaborate in realising a common goal being some physical …
Luzzu—a methodology and framework for linked data quality assessment
The increasing variety of Linked Data on the Web makes it challenging to determine the
quality of this data and, subsequently, to make this information explicit to data consumers …
quality of this data and, subsequently, to make this information explicit to data consumers …
Ten simple rules for making a vocabulary FAIR
We present ten simple rules that support converting a legacy vocabulary—a list of terms
available in a print-based glossary or in a table not accessible using web standards—into a …
available in a print-based glossary or in a table not accessible using web standards—into a …
Planned ETSI SAREF extensions based on the W3C&OGC SOSA/SSN-compatible SEAS ontology patterns
M Lefrançois - … interoperability and standardization in the IoT …, 2017 - hal-emse.ccsd.cnrs.fr
Mid-June 2017, the ETSI SmartM2M working group voted two work items, DTS/SmartM2M-
103548 and DTS/SmartM2M-103549, with the goal to enhance and augment the SAREF …
103548 and DTS/SmartM2M-103549, with the goal to enhance and augment the SAREF …
[HTML][HTML] A hereditary attentive template-based approach for complex knowledge base question answering systems
Abstract Knowledge Base Question Answering systems (KBQA) aim to find answers to
natural language questions over a knowledge base. This work presents a template matching …
natural language questions over a knowledge base. This work presents a template matching …