OntoDI: The Methodology for Ontology Development on Data Integration

Yunianta, Arda; Basori, Ahmad Hoirul; Prabuwono, Anton Satria; Bramantoro, Arif; Syamsuddin, Irfan; Yusof, Norazah; Almagrabi, Alaa Omran; Alsubhi, Khalid

doi:10.14569/ijacsa.2019.0100121

Cited by 7 publications

(12 citation statements)

References 27 publications

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“…A methodology for ontology development, a guideline for ontology developers, discusses processes and methods for ontology development [15]. Different ontology development methodologies have been defined in research [16], [18], [21]- [24], [34], [35]. The methodology proposed in the previous work was an initial attempt to design a methodology for designing a domain ontology for the WM domain [16].…”

Section: Related Workmentioning

confidence: 99%

“…Maintenance is discussed by [20], [21], [28], and [29]. Likewise, a few researchers provide documentation; for example, documentation is provided by [20], [21], [24], [29], and [38]. Documentation assists in the understanding of an ontology.…”

Section: Related Workmentioning

confidence: 99%

“…Similarly, ontology integration of sub-domain ontologies is needed. This can be realized in the integration of the ontologies discussed by [20], [21], [24], [28], and [29].…”

Section: Related Workmentioning

confidence: 99%

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An Improved Methodology for Collaborative Construction of Reusable, Localized, and Shareable Ontology

et al. 2021

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Interlocking Institutional Worlds (IWs) is a concept explaining the need to interoperate between institutions (or players), to solve problems of common interest in a given domain. Managing knowledge in the IWs domain is complex; however, promoting knowledge sharing based on standards and common terms agreeable to all players is essential and is something that must be established. In this context, ontologies, as a conceptual tool and a key component of knowledge-based systems, have been used by organizations for effective knowledge management, better decision-making, and interoperability among diverse institutions of an IWs domain. The development of ontology involves structural and logical complexity, and requires a well-designed, mature, and widely accepted methodology, to ensure its reliability. Many methodologies for ontology development have been proposed by several researchers; however, most of the developed methodologies have not included several important phases. Furthermore, several methodologies have not provided the complete details of the techniques and activities involved in the ontology construction process. Fewer details make it difficult to follow a methodology for designing ontologies. This study aims to compare existing methodologies based on sixteen important criteria and proposes an improved methodology for ontology development for IWs domains. The proposed methodology has included several important phases such as the

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

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An Improved Methodology for Collaborative Construction of Reusable, Localized, and Shareable Ontology

et al. 2021

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“…4) OntoDI methodology [14]: This methodology is an ontology development method which has been developed for the implementation of data integration called ontology development on the data integration domain (OntoDI). The main objective of this ontology construction method is the development of knowledge in ontology to manage the problems of semantic aspects in order to support the implementation of data integration.…”

Section: B Main Approaches From Zero Descriptionmentioning

confidence: 99%

“Onto-Computer-Project”, a Computer Project Domain Ontology : Construction and Validation

Mejri¹,

Hanafi²,

Ghezala³

2020

IJACSA

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Ontologies, nowadays, play a primordial role in the representation, the re-use and the sharing of knowledge of a well given domain in a consensual and explicit way more precisely in the computing field. It is in this context that we have proposed a domain ontology baptised onto-computer-project which presents the key to our research goal. This essential goal is to arrive at a final step to elaborate a knowledge based system for computer projects reusing. The aimed system is essentially based on the construction of a memory projects. This memory projects could be defined as a collection of historical and achieved projects around the sphere of computer. This sphere is so wide including many subfields beginning at the database, software engineering fields and arriving at the fields of artificial intelligence, computer vision and so on. This research work requires at first to construct a well-defined ontology in the way to structure and to unify vocabulary often shared by multi actors in the domain of computer projects. To concretize this goal, our paper will describe a construction approach for the proposed domain ontology which is mainly based on an existing methodology named "methontology". The proposed ontology construction approach, which is composed of seven steps, is the result of a comparative study between some ontology construction approaches belonging to different categories of methodology. In fact, we can distinguish four main categories of ontology development approaches: ontology construction approaches from zero, text-based construction approaches, building approaches based on the reuse of already existing ontologies, and crowd souring-based approaches. In our research work, we are interested by the approach of building ontology from zero. Indeed, the construction of the proposed ontology follows an autonomous approach which is not based on any other existing ontology or the updating of an already constructed ontology. In addition, in this paper we are interested by the problem of validating the content of domain ontology and in this context we have proposed an incremental approach for validating the proposed ontology which is composed of six steps. In this context we have studied some ontology validation approaches: those which are questionnaire based, others based on question answering. The problem here that all approaches studied are single actor approaches where a single validation actor can validate the entire ontology and this by applying the semantic and the structural validation definitively with no return. The main originality of our validation approach consists essentially of three criteria: the incremental validation, the multi-intervention, and the respecting of the "V" cycle. In fact, the passage from one validation step to another results in an update of the initial ontology and this by the intervention of three experts (project management expert, a project computer expert and a specialist in ontology engineering). Our proposal approach requires a feedback between all the validation phase...

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“…A symbolic illustration of the steps of an ODM has been presented in Figure 1. The illustration is tailored from yet another method for ontology construction (YAMO) (Dutta et al , 2015) and ontology development on data integration (OntoDI) (Yunianta et al , 2019). These steps may be rehashed and implemented in various stages to generate a quality ontology, depending upon the stipulations.…”

Section: Introductionmentioning

confidence: 99%

Ranking the ontology development methodologies using the weighted decision matrix

Sinha

Dutta

Varadarajan

2022

DTA

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PurposeThe current work provides a framework for the ranking of ontology development methodologies (ODMs).Design/methodology/approachThe framework is a step-by-step approach reinforced by an array of ranking features and a quantitative tool, weighted decision matrix. An extensive literature investigation revealed a set of aspects that regulate ODMs. The aspects and existing state-of-the-art estimates facilitated in extracting the features. To determine weight to each of the features, an online survey was implemented to secure evidence from the Semantic Web community. To demonstrate the framework, the authors perform a pilot study, where a collection of domain ODMs, reported in 2000–2019, is used.FindingsState-of-the-art research revealed that ODMs have been accumulated, surveyed and assessed to prescribe the best probable ODM for ontology development. But none of the prevailing studies provide a ranking mechanism for ODMs. The recommended framework overcomes this limitation and gives a systematic and uniform way of ranking the ODMs. The pilot study yielded NeOn as the top-ranked ODM in the recent two decades.Originality/valueThere is no work in the literature that has investigated ranking the ODMs. Hence, this is a first of its kind work in the area of ODM research. The framework supports identifying the topmost ODMs from the literature possessing a substantial amount of features for ontology development. It also enables the selection of the best possible ODM for the ontology development.

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OntoDI: The Methodology for Ontology Development on Data Integration

Cited by 7 publications

References 27 publications

An Improved Methodology for Collaborative Construction of Reusable, Localized, and Shareable Ontology

An Improved Methodology for Collaborative Construction of Reusable, Localized, and Shareable Ontology

“Onto-Computer-Project”, a Computer Project Domain Ontology : Construction and Validation

Ranking the ontology development methodologies using the weighted decision matrix

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