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Heavyweight Ontology Engineering
2006An heavyweight ontology is a lightweight ontology (i.e. an ontology simply based on a hierarchy of concepts and a hierarchy of relations) enriched with axioms used to fix the semantic interpretation of concepts and relations Such an ontology can be a domain ontology, an ontology of representation, an ontology of PSM, etc In our work, we argue in favor ...
Frédéric Fürst, Francky Trichet
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Ontology Engineering Methodology
2009In this chapter we present a methodology for introducing and maintaining ontology based knowledge management applications into enterprises with a focus on Knowledge Processes and Knowledge Meta Processes. While the former process circles around the usage of ontologies, the latter process guides their initial set up.We illustrate our methodology by an ...
York Sure, Steffen Staab, Rudi Studer
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Ontology Embedding: A Survey of Methods, Applications and Resources
IEEE Transactions on Knowledge and Data EngineeringOntologies are widely used for representing domain knowledge and meta data, playing an increasingly important role in Information Systems, the Semantic Web, Bioinformatics and many other domains.
Jiaoyan Chen +5 more
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Ontology editors approach for ontology engineering
2018 4th International Conference on Control, Automation and Robotics (ICCAR), 2018It has been shown many years, since the researchers all around the world has been accustomed with ontologies and how to develop and use them. There are so many ontology editors available for the developers to use. However, among hundreds of them, there is the significant question which has been asked: “What is the best ontology editor for the beginner?”
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Data modelling versus ontology engineering
ACM SIGMOD Record, 2002Ontologies in current computer science parlance are computer based resources that represent agreed domain semantics. Unlike data models, the fundamental asset of ontologies is their relative independence of particular applications, i.e.
Spyns, Peter +2 more
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Towards Complex Ontology Alignment using Large Language Models
Iberoamerican Conference on Knowledge Graphs and Semantic WebOntology alignment, a critical process in the Semantic Web for detecting relationships between different ontologies, has traditionally focused on identifying so-called"simple"1-to-1 relationships through class labels and properties comparison.
Reihaneh Amini +3 more
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Ontology engineering: reuse and integration
International Journal of Metadata, Semantics and Ontologies, 2008Reuse and integration are major steps in the ontology development process, often unavoidable to lower the costs of a new application. We address the two issues with an engineering approach, and provide a comprehensive account of the state of the art. The domain of e-learning is chosen as a test-bed to verify the feasibility of methods.
TOPPANO, Elio +3 more
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Ontology-based correlation engines
International Conference on Autonomic Computing, 2004. Proceedings., 2004Correlation engines are autonomic computing systems that perform the automated, continuous analysis of enterprise-wide event data based on user-defined, configurable rules in order to detect threats and protect a system from them. In this paper, we discuss the run-time advantages of using ontologies as a conceptual backbone for describing knowledge ...
Stojanovic, L. +3 more
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An ontology for reasoning over engineering textual data stored in FMEA spreadsheet tables
Computers in industry (Print), 2021M. Hodkiewicz +4 more
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Ontology Engineering Relationally
2010The retrieval problem is one of the main reasoning problems for ontology based systems. The retrieval problem for concept C consists in finding all individuals a which satisfy C(a). We present ontology transformation which can help to improve evaluating queries over (sublanguage of) OWL ontologies. Our solution is based on translating
Pokorný Jaroslav +2 more
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