An upper ontology based on ISO 15926

Batres, Rafael; West, Matthew; Leal, David; Price, David; Masaki, Katsube; Shimada, Yukiyasu; Fuchino, Tetsuo; Naka, Yuji

doi:10.1016/j.compchemeng.2006.07.004

Cited by 109 publications

(43 citation statements)

References 5 publications

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“…In the spirit of the Heidelberg workshop and the IEEE SUO Effort, this Summit attempted to get the stewards of the major open upper ontologies to come together and converge on some consensus. A ten-point joint communiqué (Obrst et al, 2006) was released by the representatives of eight upper ontologies well known at that time, namely: the Generalized Upper Model (GUM) by Bateman et al (1995); the ontology of Descriptions and Situations (D&S) by Gangemi and Mika (2003); the Process Specification Language (PSL/ISO 18629) by Gruninger and Menzel (2003); the Descriptive Ontology for Linguistic and Cognitive Engineering (DOLCE) by Masolo et al (2003); OpenCyc by Lenat and Guha (1989); the Suggested Upper Merged Ontology (SUMO) by Niles and Pease (2001); the Basic Formal Ontology (BFO) by Arp et al (2015); the upper ontology based on ISO 15926 by Batres et al (2007).…”

Section: Year 2006: the Start Of The Ontology Summitsmentioning

confidence: 99%

Bootstrapping the applied ontology practice: Ontology communities, then and now

Yim¹

2015

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After more than two decades since the interdisciplinary field of ontology emerged for information science, it is now poised to make a huge impact. The ontological approach aims at making intended meaning explicit and computable. By enabling better human-machine "understanding" across complex socio-technical chains, ontologies are facilitating the vision of co-evolution of humans and their tools. Applying ontology requires a very broad spectrum of disciplines and skills, and is therefore best tackled not by individuals, but by communities of people working collaboratively. This position paper attempts to trace the brief history of ontology communities from the author's vantage point, identifying some of the key dates and key players (mostly familiar names, but some unsung heroes as well) that have made things happen for the field of applied ontology. Inspired by Doug Engelbart's "bootstrap" strategy, the author has developed and operated (until his recent retirement) a virtual collaborative environment (CIM3.net), on which some ontology communities (such as Ontolog and Ontology Summit) have thrived. Observing that the funding and career opportunities have changed for the better in the past few years, the author reflects on how the ontology communities of practice might leverage what they have built so far, and take applied ontology into an even better future.

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Section: Year 2006: the Start Of The Ontology Summitsmentioning

confidence: 99%

Bootstrapping the applied ontology practice: Ontology communities, then and now

Yim¹

2015

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“…As part of the project, a basic condition monitoring ontology for wheel impact faults was created, which could reason about the severity of reported faults and classify a vehicle status accordingly. The ISO 15926 standard (Batres et al, 2007) was initially developed for the integration and exchange of information relating to process plants including oil and gas production facilities. ISO 15926 takes a very "ground-up" approach to the modelling of processes, allowing each piece of equipment to be described in terms of its component parts as well as its temporal existence.…”

Section: Existing Ontologiesmentioning

confidence: 99%

RAILWAY MODELLING - The Case for Ontologies in the Rail Industry

Easton

Davies²,

Roberts

2010

Proceedings of the International Conference on Knowledge Engineering and Ontology Development

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As the demand for rail travel grows amongst the travelling public, capacity on the largely Victorian infrastructure is becoming an important issue. High construction costs and the need for environmental responsibility mean that simply building more lines is not necessarily a viable option, and therefore the rail industry is beginning to look for ways in which their current assets can be used more intelligently. In the first wave of this process, a number of new projects have been started that monitor the condition of vehicles and infrastructure, but the greater challenge of integrating that data and using it to support business operations is still largely unaddressed. This paper outlines a number of data handling and data sharing issues that face the rail industry, and presents the argument for the adoption of an ontology-based data standard across the sector.

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“…It was designed to support the evolution of data through time [20]. It belongs to the category of the so-called upper ontologies, which define basic classes and relations from which domain-specific classes and relations can be defined.…”

Section: The Iso 15926 Ontologymentioning

confidence: 99%

“…The development of the ontologies was based on OntoCAPE [18], some safety and operation ontologies [39], and the ISO 15926 ontology [20]. The CBR module implemented a search mechanism based on five types of similarity measures: class similarity, string similarity, numeric similarity, numeric interval similarity and set similarity.…”

Section: Petrohazopmentioning

confidence: 99%

Ontologies in Process Systems Engineering

Batres

2017

Chemie Ingenieur Technik

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An overview of the use of ontologies in process systems engineering, which has increased continuously since the early 1990s, is presented. Ontologies have formal semantics that can be exploited when part of the information is missing, enabling engineers and stakeholders to independently develop partial descriptions of the same artifact (product, plant, or process) and check consistency when the descriptions are combined. Likewise, ontologies are useful for generating new conclusions from existing data. Because of their intrinsic foundation in mathematical logic, ontologies provide the structure and semantics for validating information.

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An upper ontology based on ISO 15926

Cited by 109 publications

References 5 publications

Bootstrapping the applied ontology practice: Ontology communities, then and now

Bootstrapping the applied ontology practice: Ontology communities, then and now

RAILWAY MODELLING - The Case for Ontologies in the Rail Industry

Ontologies in Process Systems Engineering

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