An upper ontology based on ISO 15926

Batres, Rafael; West, Matthew; Leal, David; Price, David; Naka, Yuji

doi:10.1016/s1570-7946(05)80099-9

Cited by 21 publications

(20 citation statements)

References 6 publications

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“…Schema conflict encompasses identifier or naming mismatch, different attributes used to define the same data and other structural inconsistencies occurring from the different schema design. In such cases ontologies are used for resolving the schema conflicts and mapping the different project schemas (Wache et al, 2001, Batres et al 2007). …”

Section: Literature Reviewmentioning

confidence: 99%

A Web3D Enabled Information Integration Framework for Facility Management

Rasys

Dawood

et al. 2014

AJCEB-Conerence Series

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Managing capital oil and gas and civil engineering facilities requires a large amount of heterogeneous information that is generated by different project stakeholders across the facility lifecycle phases and is stored in various databases and technical documents. The amount of information reaches its peak during the commissioning and handover phases when the project is handed over to the operator. The operational phase of facilities spans multiple decades and the way facilities are used and maintained have a huge impact on costs, environment, productivity, and health and safety. Thus, the client and the operator bear most of the additional costs associated with incomplete, incorrect or not immediately usable information.Web applications can provide quick and convenient access to information regardless of user location. However, the integration and delivery of engineering information, including 3D content, over the Web is still at its infancy and is affected by numerous technical (i.e. data and tools) and procedural (i.e. process and people) challenges. This paper addresses the technical issues and proposes a Web3D enabled information integration framework that delivers engineering information together with 3D content without any plug-ins. In the proposed framework, a class library defines the engineering data requirements and a semistructured database provides means to integrate heterogeneous technical asset information. This framework also enables separating the 3D model content into fragments, storing them together with the digital assets and delivering to the client browser on demand. Such framework partially alleviates the current limitations of the JavaScript based 3D content delivery such as application speed and latency. Hence, the proposed framework is particularly valuable to petroleum and civil engineering companies working with large amounts of data.

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Section: Literature Reviewmentioning

confidence: 99%

A Web3D Enabled Information Integration Framework for Facility Management

Rasys

Dawood

et al. 2014

AJCEB-Conerence Series

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“…The upper ontology was designed to be sufficiently generic for any engineering application, but it was developed as a conceptual data model for the representation of technical information of process plants including oil and gas production facilities. The original ontology was documented in EXPRESS, but it has also been implemented in OWL (Batres, et al, 2007).…”

Section: Integration With the Upper Ontology And Further Developmentmentioning

confidence: 99%

A Formal Concept Analysis-Based Method for Developing Process Ontologies

Batres

Akmal

2013

J. Chem. Eng. Japan

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This paper addresses ontologies of intentional and unintentional processes. Specifically, a methodology for developing processes ontologies is described. Typically, domain ontologies are developed in an ad-hoc fashion, without the reasons and justifications of the class structure. To resolve this issue, we propose a methodology based on Formal Concept Analysis (FCA) as a way to assist the development of a domain ontology. FCA is an analysis technique for knowledge processing based on applied lattice and order theory. The methodology is illustrated with the development of an explosion ontology. Introduction 1Typical chemical engineering textbooks define a process as "an operation or a series of operations" that "cause a physical or chemical change in a substance or mixture of substances" (Felder and Rousseau, 2000). Textbooks also explain that processes commonly have several steps, each of which represents a specific physical or chemical change. Such definitions assume that during the realization of a process, a particular objective is accomplished. In other words, according to these definitions, a process has a design intention.However, unintentional phenomena are also of concern to chemical engineers. For example, explosions (such as those that result in property damage) may happen as a result of an abnormal situation rather than a well-designed series of steps. Despite differences related to whether an objective is involved or not, both intentional and unintentional processes share the ability to transform material or energy through one or more changes. This paper addresses both kinds of processes. Specifically, a methodology for developing processes ontologies is described.Ontologies are models based on logic that define the structure of knowledge in terms of classes (types) and subclasses (subtypes) of things and their relations. One of the advantages of ontologies is that they can be processed by knowledge reasoning algorithms so that hidden relations between things can be discovered. In other words, ontologies are useful for generating new conclusions from existing data. In addition, since they have an intrinsic foundation in mathematical logic, ontologies provide the structure and semantics needed for validating information.Several efforts have been reported on the use of ontologies in chemical engineering. For example,

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“…Still, to our knowledge. A number of recent works (A. Matsokis & D. Kiritsis 2010), (Kim et al 2009), (Fiorentini et al 2008), (Demoly et al 2012), (Panetto et al 2012) and (Batres et al 2007) in various phases of the lifecycle have already provided promising results.…”

Section: State Of the Artmentioning

confidence: 99%

Design of Fundamental Ontology for Manufacturing Product Lifecycle Applications

Kiritsis

Kadiri

Perdikakis

et al. 2013

IFIP Advances in Information and Communication Technology

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Abstract. In today's world of fast manufacturing, high quality demands and highly competitive markets, it has become vital for companies to be able to extract knowledge from their operating data, to manage and to reuse this knowledge in efficient and automated manner. Ontology has proven to be one of the most successful methods in fulfilling this demand and to this day, it has been applied in number of scenarios within companies of all scales. The most appealing features of the ontology are well-defined structure of the knowledge organization; being machine understandable enables automatic reasoning and inference and finally, well defined semantics enables easy interoperability and design of the plug-in modules. Still, one key downfall of ontology is that it usually has to be manually designed from the beginning for each new use-case. This requires highly specialized knowledge experts working closely with the domain experts for, sometimes, significant period of time. In this paper we propose LinkedDesign solution for described issues, as an example of design of fundamental ontology which can be easily adjusted and adopted for different production systems, thus eliminating the need for repetition of entire design process for every individual company. We also discuss and point to a new and challenging fields of research emerging from application of ontology into manufacturing companies, mainly concerning rapidly growing amounts of knowledge which are beginning to exceed human ability to process it.

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An upper ontology based on ISO 15926

Cited by 21 publications

References 6 publications

A Web3D Enabled Information Integration Framework for Facility Management

A Web3D Enabled Information Integration Framework for Facility Management

A Formal Concept Analysis-Based Method for Developing Process Ontologies

Design of Fundamental Ontology for Manufacturing Product Lifecycle Applications

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