Digital Twin-Enabled Decision Support Services in Industrial Ecosystems

The goal of this paper is to further elaborate a new concept for value creation by decision support services in industrial service ecosystems using digital twins and to apply it to an extended case study. The aim of the original model was to design and integrate an architecture of digital twins derived from business needs that leveraged the potential of the synergies in the ecosystem. The conceptual framework presented in this paper extends the semantic ontology model for integrating the digital twins. For the original model, technical modeling approaches were developed and integrated into an ecosystem perspective based on a modeling of the ecosystem and the actors’ decision jobs. In a service ecosystem comprising several enterprises and a multitude of actors, decision making is based on the interlinkage of the digital twins of the equipment and the processes, which is achieved by the semantic ontology model further elaborated in this paper. The implementation of the digital twin architecture is shown in the example of a manufacturing SME (small and medium-sized enterprise) case that was introduced in. The mixed semantic modeling and model-based systems engineering for this implementation is discussed in further detail in this paper. The findings of this detailed study provide a theoretical concept for implementing digital twins on the level of service ecosystems and integrating digital twins based on a unified ontology. This provides a practical blueprint to companies for developing digital twin based services in their own operations and beyond in their ecosystem.

Dynamic semantic ontology generation: a proposal for social robots

During a human-robot interaction by dialogue/voice, the robot cannot extract semantic meaning from the words used, limiting the intervention itself. Semantic knowledge could be a solution by structuring information according to its meaning and its semantic associations. Applied to social robotics, it could lead to a natural and fluid human-robot interaction. Ontologies are useful representations of semantic knowledge, as they capture the relationships between objects and entities. This paper presents new ideas for ontology generation using already generated ontologies as feedback in an iterative way to do it dynamically. This paper also collects and describes the concepts applied in the proposed methodology and discusses the challenges to be overcome.

Balinese Kulkul Semantic Ontology: REST API Mobile Application Development

Kulkul is one of Bali's cultural heritage. Kulkul is used in Balinese society for communication when there is a danger, death, a ritual, and so on. The current phenomenon is that many Balinese people are only able to know and without knowing much knowledge about kulkul. It is because this knowledge is the only word of mouth, making it difficult for it to be collected, stored, retrieved, shared, and renewed. Current technological developments, especially mobile technology, allow the development of mobile applications on cultural knowledge with an ontology approach that will help provide an explicit explanation of this knowledge. In this study, the authors propose the application of a web service with a REST API architecture to help mobile applications integrate Balinese Kulkul Semantic Ontology. This study uses the prototyping method in developing the REST API. From the tests that have been done, it is found that the REST API has successfully received requests and responses which prove that the mobile application is well integrated.

THE LAST DECADE DEVELOPMENT OF PROJECT DATA MANAGEMENT THROUGH THE BIM

In the last decade, the management of data through information systems has become more widespread in the field of AEC. BIM represents a complete and integrated methodological approach based on a new process of modeling and interpreting reality into an information system. Starting from the data acquisition and collection, an initial geometric 3D model of the building can be designed. The lack of a direct connection between different information systems (e.g. BIM and GIS) for the same object forces to determine a common domain through the definition of an ontology. This semantic ontology will represent the basis of this knowledge model based on data coming from different information systems allowing data standardization and data enrichment operations. Thanks to the ontology, the threshold of interoperability between BIM and other information system in a semantic web environment can be overcome. After a process of data conversion in exchange data format, a graph database can be built which collects all the heterogeneous data of the whole project. Ensuring the access to anyone to the web graph database, it is possible to formulate query for the information recognition.

Research on literary intelligent translation based on improved optimization model

Machine translation is widely used in people’s daily life and production, occupying an important position. In order to improve the accuracy of literary intelligent translation, this study explores literary intelligent translation based on improved optimization model. According to semantic features, machine translation was used to create a semantic ontology optimization model that includes an encoder and a decoder, and a conversion layer including a forward neural network layer, a residual connection and a normalization layer were added to the semantic ontology optimization model between the encoder and the decoder, the conversion layer was used to achieve grammatical conversion, which improves the accuracy of intelligent translation of the semantic ontology optimization model. Results show that the BLEU value of using this method to translate literary sentences can reach 17.23 when the number of training steps is 8000, and the training time is low, the translation result has a low correlation misalignment rate, which can meet the user’s literary translation needs.

Studio Apartement Ontology Domain Development

Bali is one of the provinces in Indonesia with its capital in Denpasar. Bali is well-known as a tourism destination with its unique arts and culture. For people who go to Bali to continue their education or work on work projects, they definitely need a place to stay while in Bali. Not infrequently many of them choose to rent this studio apartement because the facilities offered are adequate for them to live in Bali. However, because many of them come from outside the island of Bali, they don't know where to look for places or locations that provide these services. Lack of information about places that provide this service is one of the problems faced. Therefore, ontology can be used to provide information related to studio apartement explicitly by using the semantic ontology approach, because ontology is able to handle more complex data and is able to apply data-links, so that data can be integrated into various systems that have similar domains. built has 9 classes, 4 object properties and 14 individuals.