A methodology for creating reusable ontologies

Frühwirth, Thomas; Kästner, Wolfgang; Krammer, Lukas

doi:10.1109/icphys.2018.8387639

Cited by 7 publications

(3 citation statements)

References 12 publications

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“…As a crucial methodical foundation, domain-specific ontologies have to be applied for IES. However, knowledge engineers do not need to build ontologies from scratch, but they can use and integrate existing standards that were developed in collaborative efforts among industry and academia and be conveniently created via open source tools (e.g., [102]). For our DT platform for IES, relevant ontologies include PETIont (Plant, Equipment, Topology and Instrumentation Ontology) [103], Sensor, Observation, Sample, and Actuator (SOSA) ontology [104], PQOnt (Electrical Power Quality Ontology) [105], OntoPowSys (Power System Ontology) [106], OpenEnergy [107], OntoCAPE (Ontology for Computer-aided Process Engineering) [108], and OntoEIP (Ontology for Eco-Industrial Park) [109].…”

Section: Data Dimensionmentioning

confidence: 99%

Toward a Practical Digital Twin Platform Tailored to the Requirements of Industrial Energy Systems

et al. 2022

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Digitalization and concepts such as digital twins (DT) are expected to have huge potential to improve efficiency in industry, in particular, in the energy sector. Although the number and maturity of DT concepts is increasing, there is still no standardized framework available for the implementation of DTs for industrial energy systems (IES). On the one hand, most proposals focus on the conceptual side of components and leave most implementation details unaddressed. Specific implementations, on the other hand, rarely follow recognized reference architectures and standards. Furthermore, most related work on DTs is done in manufacturing, which differs from DTs in energy systems in various aspects, regarding, for example, multiple time-scales, strong nonlinearities and uncertainties. In the present work, we identify the most important requirements for DTs of IES. We propose a DT platform based on the five-dimensional DT modeling concept with a low level of abstraction that is tailored to the identified requirements. We address current technical implementation barriers and provide practical solutions for them. Our work should pave the way to standardized DT platforms and the efficient encapsulation of DT service engineering by domain experts. Thus, DTs could be easy to implement in various IES-related use cases, host any desired models and services, and help get the most out of the individual applications. This ultimately helps bridge the interdisciplinary gap between the latest research on DTs in the domain of computer science and industrial automation and the actual implementation and value creation in the traditional energy sector.

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Section: Data Dimensionmentioning

confidence: 99%

Toward a Practical Digital Twin Platform Tailored to the Requirements of Industrial Energy Systems

et al. 2022

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“…Model ontologi yang ada pada umumnya selalu bersifat spesifik pada domain tertentu karena relasi yang digunakan menyesuaikan dengan domain tersebut [16] [17]. Peran ahli sangat dominan ketika membuat ontologi yang bersifat domain spesifik [18][19][20] [21]. Kelengkapan informasi tergantung pada kemampuan ahli pada domain tersebut dan ahli di bidang teknologi informasi untuk merepresentasikan informasi.…”

Section: Kata Kunci-representasi Informasi Ontologi Buku Teks Kombinasi Ontologiunclassified

“…Pada penelitian tersebut peran ahli diperlukan untuk melakukan penentuan class, object property, data property dan contoh instance dari setiap class. Beberapa penelitian terkait metodologi yang diusulkan untuk membangkitkan ontologi juga masih menggunakan peran ahli yang sangat dominan [19][20] [21]. Model ontologi yang memerlukan peran ahli secara dominan untuk memetakan maupun menambahkan pengetahuannya untuk membentuk ontologi pada penelitian ini selanjutnya disebut model ontologi konvensional.…”

Section: Kata Kunci-representasi Informasi Ontologi Buku Teks Kombinasi Ontologiunclassified

Pendekatan Baru untuk Merepresentasi Informasi di Bidang Pendidikan Menggunakan Kombinasi Ontologi

Kusuma

Sukya

Heriadi

2021

JEPIN

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Ontologi adalah sebuah konsep yang dirancang untuk merepresentasikan relasi antar informasi. Ontologi dapat digunakan untuk merepresentasikan informasi berbentuk hierarki maupun non hierarki. Namun, model ontologi yang ada saat ini pada umumnya selalu bersifat domain spesifik. Peran ahli sangat dominan ketika membuat ontologi yang bersifat domain spesifik. Kelengkapan informasi pada ontologi tergantung pada kemampuan ahli pada domain tersebut dan ahli di bidang teknologi informasi untuk merepresentasikan informasi ke dalam bentuk ontologi. Oleh sebab itu diperlukan model ontologi baru agar dapat menghasilkan ontologi yang tidak bersifat domain spesifik. Sehingga mempermudah proses representasi informasi ke dalam bentuk ontologi dan mengurangi peran ahli dalam proses pembuatan ontologi tersebut. Model ontologi baru yang diusulkan adalah kombinasi dari ontologi taksonomi dan ontologi kalimat. Informasi berbentuk hierarki akan direpresentasikan dalam bentuk ontologi taksonomi, sedangkan informasi non-hierarki akan direpresentasikan dalam bentuk ontologi kalimat. Berdasarkan uji coba yang telah dilakukan, diketahui bahwa kombinasi ontologi yang diusulkan dapat menghasilkan ontologi yang tidak bersifat domain spesifik, mempermudah proses pembangkitan ontologi, dan mengurangi peran ahli dalam pembuatan ontologi tersebut.

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Semantic Interoperability in IoT: A Systematic Mapping

Souza

Filho

2019

Lecture Notes in Computer Science

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A methodology for creating reusable ontologies

Cited by 7 publications

References 12 publications

Toward a Practical Digital Twin Platform Tailored to the Requirements of Industrial Energy Systems

Toward a Practical Digital Twin Platform Tailored to the Requirements of Industrial Energy Systems

Pendekatan Baru untuk Merepresentasi Informasi di Bidang Pendidikan Menggunakan Kombinasi Ontologi

Semantic Interoperability in IoT: A Systematic Mapping

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