China
Africa
Explore chapters and articles related to this topic
Evolution of Web
Published in Akshi Kumar, Web Technology, 2018
There are fundamentally four types of ontologies: Top level Ontologies (Upper Ontology or Foundational Ontology): They are general, cross domain ontologies. They are used to represent very general concepts.Domain Ontologies: They define concepts related to specific domain.Task Ontologies: They define concepts related to general activity or task.Application Ontologies: They are specialized ontologies focused on specialized task and domain.
Text integration based on a construction information resource sharing ontology
Published in Manuel Martínez, Raimar Scherer, eWork and eBusiness in Architecture, Engineering and Construction, 2020
An upper ontology is as a high-level, domain-independent ontology, providing a framework by which separate systems may utilize common knowledge bases and from which more domain-specific ontologies may be derived.
End-user engineering of ontology-based knowledge bases
Published in Behaviour & Information Technology, 2022
Audrey Sanctorum, Jonathan Riggio, Jan Maushagen, Sara Sepehri, Emma Arnesdotter, Mona Delagrange, Joery De Kock, Tamara Vanhaecke, Christophe Debruyne, Olga De Troyer
Note that in some applications, the instances of the concepts and relationships (i.e. the ‘real’ data) are also considered as part of the ontology, removing the strict separation between model and data. However, we follow the approach proposed by Chasseray et al. in Chasseray et al. (2021), where the distinction between model and data is kept: a knowledge base is composed of a domain ontology and an instantiated ontology. The domain ontology is used to specify the organizational structure of the knowledge base, and as the name indicates, the instantiated ontology is an instantiation of the domain ontology containing the actual instances (data). Chasseray et al. combine ontologies with the OMG's Model-Driven Engineering (MDE) approach (Colomb et al. 2006) that defines four modelling levels: data level, model level, meta-model level, and meta-metamodel level. Following this MDE approach, the authors of Chasseray et al. (2021) consider the domain ontology, i.e. the model level, as an instantiation of an upper ontology that, in its turn, defines the concepts and relationships needed to define domain ontologies, and corresponds to the meta-model level from the MDE approach. Such an upper ontology contains general modelling concepts such as Concept, Relation, and Instance. We show this tree-level structure for an ontology-based knowledge base in Figure 1. Note that the Instantiated Ontology corresponds to the data level of MDE; the meta-metamodel level of MDE is not used in this approach.
Physics-based simulation ontology: an ontology to support modelling and reuse of data for physics-based simulation
Published in Journal of Engineering Design, 2019
Hyunmin Cheong, Adrian Butscher
An upper ontology also provides a framework to categorise and constrain different domain-specific entities, e.g. distinguishing between independent entities and dependent entities. Also, it provides existing theories that could be extended to domain-specific entities and ensure that the data modelled with them follow the logical consistencies imposed by the upper ontology. Finally, an upper ontology serves as the natural starting point for defining new terms for domain-specific entities.