Evaluating domain ontologies: clarification, classification, and challenges
M McDaniel, VC Storey - ACM Computing Surveys (CSUR), 2019 - dl.acm.org
The number of applications being developed that require access to knowledge about the
real world has increased rapidly over the past two decades. Domain ontologies, which …
real world has increased rapidly over the past two decades. Domain ontologies, which …
[PDF][PDF] Comparative analysis of methodologies for domain ontology development: A systematic review
Interlocking Institutional Worlds (IWs) is a concept explaining the need to interoperate
between institutions (or players), to solve problems of common interest in a given domain …
between institutions (or players), to solve problems of common interest in a given domain …
[HTML][HTML] Machine learning and Natural Language Processing of social media data for event detection in smart cities
Social media data analysis in a smart city context can represent an efficacious instrument to
inform decision making. The manuscript strives to leverage the power of Natural Language …
inform decision making. The manuscript strives to leverage the power of Natural Language …
[HTML][HTML] Introducing the Open Energy Ontology: Enhancing data interpretation and interfacing in energy systems analysis
Heterogeneous data, different definitions and incompatible models are a huge problem in
many domains, with no exception for the field of energy systems analysis. Hence, it is hard to …
many domains, with no exception for the field of energy systems analysis. Hence, it is hard to …
CODO: an ontology for collection and analysis of COVID-19 data
B Dutta, M DeBellis - arXiv preprint arXiv:2009.01210, 2020 - arxiv.org
The COviD-19 Ontology for cases and patient information (CODO) provides a model for the
collection and analysis of data about the COVID-19 pandemic. The ontology provides a …
collection and analysis of data about the COVID-19 pandemic. The ontology provides a …
A lightweight methodology for rapid ontology engineering
A De Nicola, M Missikoff - Communications of the ACM, 2016 - dl.acm.org
A lightweight methodology for rapid ontology engineering Page 1 MARCH 2016 | VOL. 59 | NO.
3 | COMMUNICATIONS OF THE ACM 79 DOI:10.1145/2818359 UPON Lite focuses on users …
3 | COMMUNICATIONS OF THE ACM 79 DOI:10.1145/2818359 UPON Lite focuses on users …
Actionable cognitive twins for decision making in manufacturing
Actionable Cognitive Twins are the next generation Digital Twins enhanced with cognitive
capabilities through a knowledge graph and artificial intelligence models that provide …
capabilities through a knowledge graph and artificial intelligence models that provide …
Knowledge engineering using large language models
Knowledge engineering is a discipline that focuses on the creation and maintenance of
processes that generate and apply knowledge. Traditionally, knowledge engineering …
processes that generate and apply knowledge. Traditionally, knowledge engineering …
Creating a vocabulary for data privacy: The first-year report of data privacy vocabularies and controls community group (DPVCG)
Managing privacy and understanding handling of personal data has turned into a
fundamental right, at least within the European Union, with the General Data Protection …
fundamental right, at least within the European Union, with the General Data Protection …
Need for interoperability to enable seamless information exchanges in smart and sustainable urban systems
A Costin, C Eastman - Journal of Computing in Civil Engineering, 2019 - ascelibrary.org
Over the last few decades, the built environment and the architecture, engineering,
construction, and operation (AECO) industry have grown in the amount of computer …
construction, and operation (AECO) industry have grown in the amount of computer …