An Ontology-based model for providing Semantic Maintenance (original) (raw)

Semantic Data Model for Operation and Maintenance of the Engineering Asset

IFIP Advances in Information and Communication Technology, 2013

The management of engineering assets within an organization is a challenging task that aims to optimize their performance through efficient decision making. However, the current asset data management systems suffer from poor system interoperability, data integration issues as well as an enormous amount of stored data, thus preventing a seamless flow of information. The aim of this work is to propose a semantic data model for engineering asset management, focusing on the operation and maintenance phase of its life cycle. Ontologies are proposed because they can capture the semantics of data, create a shared vocabulary to describe the knowledge for sharing in the domain and provide reasoning capabilities. This model will gather all the knowledge necessary to assist in the decision making process in order to improve the asset's availability, longevity and quality of operations.

Semantic Knowledge Based Approach for Product Maintenance Support

Global Product Development, 2011

The purpose of this paper is to use semantic technology to represent the knowledge for product maintenance. Companies are begining to understand the importance of utilising an effective approach to manage existing knowledge in order to increase their intellectual capital. However, one of the main constraints that have hindered the solution in resolving technical problems has been the efficient access to knowledge and expertise. Therefore, there is need for enhancing the management and maintenance of knowledge through a semantic based approach. This research project adopts a qualitative research approach and a five-phase research programme methodology. This research project has highlighted that semantic technology enhances the reusability, flexibility and maintainability of knowledge and its management.

Toward a maintenance semantic architecture

Technological and software progress with the evolution of processes within company have highlighted the need to evolve systems of maintenance process from autonomous systems to cooperative and sharing information' system based on software platform. However, this need gives rise to various maintenance platforms. The first part of this study investigates the different types of existing industrial platforms and characterizes them compared to two criteria namely: information exchange and relationship intensity. This allowed identifying the e-maintenance architecture as the current most efficient architecture. Despite its effectiveness, this latter can only guarantee technical interoperability between various components. Therefore, the second part of this study proposes a semantic-knowledge based architecture, thereby ensuring a higher level of semantic interoperability. To this end, specific maintenance ontology has been developed.

Towards A Maintenance Semantic Architecture

Engineering Asset Lifecycle Management, 2010

Technological and software progress with the evolution of processes within company have highlighted the need to evolve systems of maintenance process from autonomous systems to cooperative and sharing information' system based on software platform. However, this need gives rise to various maintenance platforms. The first part of this study investigates the different types of existing industrial platforms and characterizes them compared to two criteria namely: information exchange and relationship intensity. This allowed identifying the e-maintenance architecture as the current most efficient architecture. Despite its effectiveness, this latter can only guarantee technical interoperability between various components. Therefore, the second part of this study proposes a semantic-knowledge based architecture, thereby ensuring a higher level of semantic interoperability. To this end, specific maintenance ontology has been developed.

A formal ontology for semantics in maintenance platforms

The rapid advancement of information and communication technologies has resulted in a variety of maintenance support systems and tools covering all sub-domains of maintenance. Most of these systems are based on different models that are sometimes redundant or incoherent and always heterogeneous. This problem has lead to the development of maintenance platforms integrating all of these support systems. The main problem confronted by these integration platforms is to provide semantic interoperability between different applications within the same environment. In this aim, we have developed an ontology for the field of industrial maintenance, adopting the METHONTOLOGY approach to manage the life cycle development of this ontology, that we have called IMAMO (Industrial MAintenance Management Ontology). This ontology can be used not only to ensure semantic interoperability but also to generate new knowledge that supports decision making in the maintenance process. This paper provides and discusses some tests so as to evaluate the ontology and to show how it can ensure semantic interoperability and generate new knowledge within the platform.

A formal ontology for industrial maintenance

2012

The rapid advancement of information and communication technologies has resulted in a variety of maintenance support systems and tools covering all sub-domains of maintenance. Most of these systems are based on different models that are sometimes redundant or incoherent and always heterogeneous. In order to create a common and shared language, we are developing a domain ontology of industrial maintenance adopting METHONTOLOGY approach to manage the lifecycle development of this ontology that we have called IMAMO (Industrial MAintenance Management Ontology). The ontology developed can be exploited to ensure semantic interoperability and to generate new knowledge that supports decision making in the maintenance process.

Ontology-Based Modeling of Aircraft to support Maintenance Management System

2014

The purpose of this paper is to present an ontology–based approach for promoting aircraft representation during maintenance management process. It describes how the problem of maintenance record heterogeneity is overcome by employing ontology-based schema approach. The approach employs ontology molding to realize the function structure of an object within causality inference during semantic extraction from the context of a maintenance report and combines OWL-Lite/RDF and international standards namely ATA ISPEC2200 and ISO 15926 in a meaningful way in order to obtain a generic system-level representation model. An inherent advantage of our approach is to cross link the identified tokens, cue words from ontologically encoded maintenance record with the causality logic according to physical-based function structure of equipment that forms fault propagation in part-component levels. Thus, the result is a generic technical understanding that enriches semantic extractor and knowledge dis...

An ontology for the management of software maintenance projects

International Journal of Software Engineering and Knowledge Engineering, 2004

Different proposals exist to represent the software maintenance process. However most 15 of them are very informal or too focussed on a specific goal. We have developed a semi-formal ontology where the main concepts, according to the literature related to 17 software maintenance, have been described. This ontology, besides representing static aspects, also represents dynamic issues related to the management of software mainte-19 nance projects. In order to develop an ontology a suitable methodology should also be followed. REFSENO was the methodology used in this work. The ontology that this work 21 presents is not a preliminary idea but it has already been used in software maintenance environments, such as MANTIS, which is currently working successfully. 23 Keywords: Software maintenance; software projects management; ontology; REFSENO. 2nd Reading June 14, 2004 16:34 WSPC/117-ijseke 00164 2 F. Ruíz et al.

Ontology Formalization of Product Semantics for Product Lifecycle Management

Volume 3: 25th Computers and Information in Engineering Conference, Parts A and B, 2005

Product Lifecycle Management (PLM) is a concept that takes into account that the development of a product is influenced by knowledge from various stakeholders throughout its lifecycle. Computing environments in the PLM framework are expected to have several independent information resources. This requires a meaningful formal representation of product data semantics throughout the product’s lifecycle. This paper presents an ontological approach to formalize product semantics into a Product Semantic Representation Language (PSRL). Building blocks to develop the explicit, extensible and comprehensive PSRL are described. The PSRL is open and based on standard W3L OWL constructs. The extensibility is demonstrated by considering an example product. The representation and the method of its development is expected to support several applications in the context of PLM. The use of OWL will enable the provision of the application software and information resources as Web services in the contex...