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Integration of the DOLCE top-level ontology into the OntoSpec methodology
TLDR
A new version of the OntoSpec methodology for ontology building is described, endowing it with a new resource, the DOLCE top-level ontology defined at the LOA (IST-CNR, Trento, Italy), to provide modellers with additional help in structuring application ontologies while maintaining independence vis-a-vis formal representation languages.Abstract:
This report describes a new version of the OntoSpec methodology for ontology building Defined by the LaRIA Knowledge Engineering Team (University of Picardie Jules Verne, Amiens, France), OntoSpec aims at helping builders to model ontological knowledge (upstream of formal representation) The methodology relies on a set of rigorously-defined modelling primitives and principles Its application leads to the elaboration of a semi-informal ontology, which is independent of knowledge representation languages We recently enriched the OntoSpec methodology by endowing it with a new resource, the DOLCE top-level ontology defined at the LOA (IST-CNR, Trento, Italy) The goal of this integration is to provide modellers with additional help in structuring application ontologies, while maintaining independence vis-a-vis formal representation languages In this report, we first provide an overview of the OntoSpec methodology's general principles and then describe the DOLCE re-engineering process A complete version of DOLCE-OS (ie a specification of DOLCE in the semi-informal OntoSpec language) is presented in an appendixread more
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Journal ArticleDOI
Competencies management and learning organizational memory
TL;DR: The MEMORAe project is presented, the goal of which is to offer an alternative to the loss of competencies and knowledge in an organization to be used by a semantic learning organization as support for competency‐based training.
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Towards an ontology for sharing medical images and regions of interest in neuroimaging
TL;DR: The cornerstone and focus of this paper is the design of a common semantic model providing a unified view on all data and tools to be shared, and a multi-layered and multi-components formal ontology is built.
Book ChapterDOI
The use of foundational ontologies in ontology development: an empirical assessment
TL;DR: Investigation of assumptions that ontology developers will use a top-down approach by using a foundational ontology, because it purportedly speeds up ontology development and improves quality and interoperability of the domain ontology found that the 'cost' incurred spending time getting acquainted with a foundationalOntology compared to starting from scratch was more than made up for in size, understandability, and interoperable already within the limited time frame.
Journal ArticleDOI
A formal ontology of artefacts
TL;DR: A formal ontology which accounts for the general nature of artefacts, and enables artefacts in general to be characterized as intentionally and successfully produced entities, and isolate an important subclass of “technical” artefacts to which a function is ascribed.
Book
An Introduction to Ontology Engineering
TL;DR: This work describes four types of abstraction modules, which are modules that are created by altering a module’s language expressive power and has an effect on what is represented in the ontology.
References
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Ontology Development 101: A Guide to Creating Your First Ontology
TL;DR: An ontology defines a common vocabulary for researchers who need to share information in a domain that includes machine-interpretable definitions of basic concepts in the domain and relations among them.
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Ontologies: principles, methods and applications
TL;DR: This paper outlines a methodology for developing and evaluating ontologies, first discussing informal techniques, concerning such issues as scoping, handling ambiguity, reaching agreement and producing definitions, and considers, a more formal approach.
Proceedings ArticleDOI
Towards a standard upper ontology
Ian Niles,Adam Pease +1 more
TL;DR: The strategy used to create the current version of the SUMO is outlined, some of the challenges that were faced in constructing the ontology are discussed, and its most general concepts and the relations between them are described.
Web Ontology Language: OWL
TL;DR: This chapter analyses the limitations of RDF Schema and derive requirements for a richer Web Ontology Language, and describes the three-layered architecture of the OWL language.
Journal ArticleDOI
The Enterprise Ontology
TL;DR: The Enterprise Ontology was developed within the Enterprise Project, a collaborative effort to provide a framework for enterprise modelling, and was built to serve as a basis for this framework which includes methods and a computer tool set for enterprise modeling.