Model-Driven Ontology Engineering

Pan, Yue; Ma, Li; Yang, Yang; Qiu, Zhaoming; Lee, Juhnyoung

doi:10.1007/11890591_3

Cited by 11 publications

(6 citation statements)

References 7 publications

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“…Such a marriage seems to be possible, since both approaches employ a similar paradigm, that is, abstraction. Therefore, it is not surprising to see that, in current literature there are several studies either employing ontologies -particularly OWL and OWL KR -as a modelling formalism in MDD (Knublauch, 2004;Ruiz and Hilera, 2006;Tetlow et al, 2006) or employing MDA modelling instruments -particularly UML, the UML meta-model and OCL -as a representation formalism to develop ontologies (Achilleos et al, 2010;Djuric et al, 2005;Gomez-Perez et al, 2003;Henricksen et al, 2002;Pan et al, 2006;Wang and Chan, 2001). However, such approaches do not exploit the full benefits of the abstraction.…”

Section: A Merged Approachmentioning

confidence: 99%

Formal modelling, knowledge representation and reasoning for design and development of user-centric pervasive software: a meta-review

Soylu

Causmaecker

Preuveneers

et al. 2011

IJMSO

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Abstract:Increasing demand for large scale and highly complex systems and applications, particularly with the emergence of pervasive computing and the impact of adaptive systems, introduces significant challenges for software development, as well as for user-machine interaction. Therefore, a perspective shift on software development and user-machine interaction is required. An amalgamation of model driven development and ontologies has been envisaged as a promising direction in recent literature. In this paper, we investigate this merged approach and conclude that a merger of both approaches, from formal modelling and knowledge representation perspective, on the one hand enables use of ontologies at run-time together with rules, prominently in terms of run-time reasoning, dynamic adaptations, software intelligibility, self-expressiveness, user involvement, and user situation awareness; and on the other hand at development time, prominently in terms of automated and incremental code generation, requirement adaptability, preservation of application knowledge, and validation and verification of structural and behavioural properties of the software. The core contribution of this paper lies in providing an elaborate and exploratory discussion of the problem and solution spaces along with a multidisciplinary meta-review and identification of complementary efforts in literature required to realise a merged approach.

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Section: A Merged Approachmentioning

confidence: 99%

Formal modelling, knowledge representation and reasoning for design and development of user-centric pervasive software: a meta-review

Soylu

Causmaecker

Preuveneers

et al. 2011

IJMSO

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“…The following works share this scope: Model-Driven Ontology Engineering [38], Metamodels with Semantic Systems [25] and Metamodels for Ontologies [24]. However, they consider three different representations for relationship: [38] uses only EReferences, [25] uses EClasses for the relationship bodies, and [24] uses EClasses for both relationship bodies and ends. Although these design decisions are certainly grounded in the features of their ML, there is no reasoning about them in these works.…”

Section: Background On Metamodelingmentioning

confidence: 99%

Guideline for the definition of EMF metamodels using an Entity-Relationship approach

García‐Magariño

Fuentes-Fernández

Gómez-Sanz

2009

Information and Software Technology

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“…For the modeling paradigm, MDS was developed using Model-Driven Architecture and is based on EMF. The SOR architecture follows the model-driven approach for ontology engineering [18]. In this approach, the RDF and OWL is defined based on Ontology Definition Metamodel (ODM) 3 .…”

Section: System Architecture Of Mds++mentioning

confidence: 99%

Supporting Ontology-Based Dynamic Property and Classification in WebSphere Metadata Server

Liu

Yang

Wang

et al. 2008

Lecture Notes in Computer Science

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Metadata management is an important aspect of today's enterprise information systems. Metadata management systems are growing from toolspecific repositories to enterprise-wide metadata repositories. In this context, one challenge is the management of the evolving metadata whose schema or meta-model itself may evolve, e.g., dynamically-added properties, which are often hard to predict upfront at the initial meta-model design time; another challenge is to organize the metadata by semantically-rich classification schemes. In this paper, we present a practical system which provides support for users to dynamically manage semantically-rich properties and classifications in the IBM WebSphere Metadata Server (MDS) by integrating an OWL ontology repository. To enable the smooth acceptance of Semantic Web technologies for developers of commercial software which must run 24 hours/day, 7 days/week, the system is designed to consist of integrated modeling paradigms, with an integrated query language and runtime repository. Specifically, we propose the modeling of dynamic properties on structured metadata as OWL properties and the modeling of classification schemes as OWL ontologies for metadata classification. We present a natural extension to OQL (Object Query Language)-like query language to embrace dynamic properties and metadata classification. We also observe that hybrid storage, i.e., horizontal tables for structured metadata and vertical triple tables for dynamic properties and classification, is suitable for the storage and query processing of co-existing structured metadata and semantic metadata. We believe that our study and experience are not specific to MDS, but are valuable for the community trying to apply Semantic Web technologies to the structured data management area.

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Model-Driven Ontology Engineering

Cited by 11 publications

References 7 publications

Formal modelling, knowledge representation and reasoning for design and development of user-centric pervasive software: a meta-review

Formal modelling, knowledge representation and reasoning for design and development of user-centric pervasive software: a meta-review

Guideline for the definition of EMF metamodels using an Entity-Relationship approach

Supporting Ontology-Based Dynamic Property and Classification in WebSphere Metadata Server

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