An Approach to Ontology Integration for Ontology Reuse

Caldarola, Enrico G.; Rinaldi, Antonio M.

doi:10.1109/iri.2016.58

Cited by 45 publications

(15 citation statements)

References 18 publications

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“…Indeed, several methodological approaches have been proposed [6][7] to guide this process. We can distinguish four main categories of ontology development approaches: ontology construction approaches from zero [6], text-based construction approaches [8], building approaches based on the reuse of already existing ontologies [10] and crowd souringbased approaches [9].…”

Section: A Ontology Construction Methodologymentioning

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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Section: A Ontology Construction Methodologymentioning

confidence: 99%

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

Mejri¹,

Hanafi²,

Ghezala³

2020

IJACSA

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“…in [42]) or in a non-incremental manner as shown in Figure 5b (e.g. in [107]). These two processes do not really differ.…”

Section: Holistic Ontology Integrationmentioning

confidence: 99%

Ontology Integration: Approaches and Challenging Issues

2021

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Eliciting key definitions and notions related to the ontology integration area. • Reporting and analyzing integration principles, consequences and repair techniques. • Briefly reviewing the most relevant research works on the ontology integration area. • Performing a holistic ontology integration to highlight open issues from the survey. • Improving the ontology matching will considerably improve the ontology integration.

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“…Recognizing that reuse is a good practice in ontology design [12], CasAware Ontology has been designed by incorporating existing data models and/or ontologies, some of which have already been included in the GOIoTP. Specifically, CasAware uses: (1) the Semantic Sensor Network (SSN) ontology, which describes sensors and their observations, the involved procedure and features of interest, and, in turn, uses SOSA (Sensor, Observation, Sample, and Actuator) ontology for its elementary classes and properties [15];…”

Section: Casaware Ontologymentioning

confidence: 99%

Integrating IoT platforms using the INTER-IoT approach: A case study of the CasAware project

Modoni

Caldarola

Mincuzzi

et al. 2020

AIS

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CasAware is an Ambient Assisted Living platform, developed within an Italian research project, with the aim to improve the level of comfort and well-being of inhabitants of a house, while optimizing the energy consumption. A key feature, for successful realization of such a platform, is its capability to interoperate with other IoT platforms, which can augment CasAware with additional services. Indeed, this capability facilitates smooth communication between CasAware devices and external devices connected to other IoT platforms, thus allowing efficient exchange of messages among them. However, such integration is hindered by the heterogeneity of data models used in different platforms, which is also related to lack of common standards. In order to realize integration needed for CasAware, this paper presents an approach which exploits results of the INTER-IoT project. Specifically, the INTER-IoT methodology and a set of software tools for achieving IoT interoperability are applied. In the presented study, it is shown how the INTER-IoT based approach can facilitate interoperability between CasAware and two other platforms, which use completely different data models.

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An Approach to Ontology Integration for Ontology Reuse

Cited by 45 publications

References 18 publications

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

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

Ontology Integration: Approaches and Challenging Issues

Integrating IoT platforms using the INTER-IoT approach: A case study of the CasAware project

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