eMaintenance ontologies for data quality support.
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| Title: | eMaintenance ontologies for data quality support. |
|---|---|
| Authors: | Aljumaili, Mustafa1, Wandt, Karina1, Karim, Ramin1, Tretten, Phillip1 |
| Source: | Journal of Quality in Maintenance Engineering. 2015, Vol. 21 Issue 3, p358-374. 17p. |
| Subjects: | Electronic data processing management, Data quality, Internetworking, Information & communication technologies, Computer programming |
| Abstract: | Purpose – The purpose of this paper is to explore the main ontologies related to eMaintenance solutions and to study their application area. The advantages of using these ontologies to improve and control data quality will be investigated. Design/methodology/approach – A literature study has been done to explore the eMaintenance ontologies in the different areas. These ontologies are mainly related to content structure and communication interface. Then, ontologies will be linked to each step of the data production process in maintenance. Findings – The findings suggest that eMaintenance ontologies can help to produce a high-quality data in maintenance. The suggested maintenance data production process may help to control data quality. Using these ontologies in every step of the process may help to provide management tools to provide high-quality data. Research limitations/implications – Based on this study, it can be concluded that further research could broaden the investigation to identify more eMaintenance ontologies. Moreover, studying these ontologies in more technical details may help to increase the understandability and the use of these standards. Practical implications – It has been concluded in this study that applying eMaintenance ontologies by companies needs additional cost and time. Also the lack or the ineffective use of eMaintenance tools in many enterprises is one of the limitations for using these ontologies. Originality/value – Investigating eMaintenance ontologies and connecting them to maintenance data production is important to control and manage the data quality in maintenance. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Quality in Maintenance Engineering is the property of Emerald Publishing Limited and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 108966807 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: eMaintenance ontologies for data quality support. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Aljumaili%2C+Mustafa%22">Aljumaili, Mustafa</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Wandt%2C+Karina%22">Wandt, Karina</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Karim%2C+Ramin%22">Karim, Ramin</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Tretten%2C+Phillip%22">Tretten, Phillip</searchLink><relatesTo>1</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Quality+in+Maintenance+Engineering%22">Journal of Quality in Maintenance Engineering</searchLink>. 2015, Vol. 21 Issue 3, p358-374. 17p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Electronic+data+processing+management%22">Electronic data processing management</searchLink><br /><searchLink fieldCode="DE" term="%22Data+quality%22">Data quality</searchLink><br /><searchLink fieldCode="DE" term="%22Internetworking%22">Internetworking</searchLink><br /><searchLink fieldCode="DE" term="%22Information+%26+communication+technologies%22">Information & communication technologies</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+programming%22">Computer programming</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Purpose – The purpose of this paper is to explore the main ontologies related to eMaintenance solutions and to study their application area. The advantages of using these ontologies to improve and control data quality will be investigated. Design/methodology/approach – A literature study has been done to explore the eMaintenance ontologies in the different areas. These ontologies are mainly related to content structure and communication interface. Then, ontologies will be linked to each step of the data production process in maintenance. Findings – The findings suggest that eMaintenance ontologies can help to produce a high-quality data in maintenance. The suggested maintenance data production process may help to control data quality. Using these ontologies in every step of the process may help to provide management tools to provide high-quality data. Research limitations/implications – Based on this study, it can be concluded that further research could broaden the investigation to identify more eMaintenance ontologies. Moreover, studying these ontologies in more technical details may help to increase the understandability and the use of these standards. Practical implications – It has been concluded in this study that applying eMaintenance ontologies by companies needs additional cost and time. Also the lack or the ineffective use of eMaintenance tools in many enterprises is one of the limitations for using these ontologies. Originality/value – Investigating eMaintenance ontologies and connecting them to maintenance data production is important to control and manage the data quality in maintenance. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of Quality in Maintenance Engineering is the property of Emerald Publishing Limited and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1108/JQME-09-2014-0048 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 17 StartPage: 358 Subjects: – SubjectFull: Electronic data processing management Type: general – SubjectFull: Data quality Type: general – SubjectFull: Internetworking Type: general – SubjectFull: Information & communication technologies Type: general – SubjectFull: Computer programming Type: general Titles: – TitleFull: eMaintenance ontologies for data quality support. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Aljumaili, Mustafa – PersonEntity: Name: NameFull: Wandt, Karina – PersonEntity: Name: NameFull: Karim, Ramin – PersonEntity: Name: NameFull: Tretten, Phillip IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: 2015 Type: published Y: 2015 Identifiers: – Type: issn-print Value: 13552511 Numbering: – Type: volume Value: 21 – Type: issue Value: 3 Titles: – TitleFull: Journal of Quality in Maintenance Engineering Type: main |
| ResultId | 1 |
