A case study for block-based linked data generation: Recipes as jigsaw puzzles

2019 ◽  
Vol 46 (3) ◽  
pp. 419-433 ◽  
Author(s):  
Övünç Öztürk ◽  
Tuğba Özacar
Keyword(s):  
Linked Data ◽  
Heterogeneous Systems ◽  
Data Repository ◽  
Data Generation ◽  
Text Input ◽  
Ontology Language ◽  
Data Generator ◽  
System Usability Scale ◽  
The Masses

This article is a proof-of-concept case study to evaluate the functionality of a block metaphor–based linked data generator. In this work, we chose to produce linked data repository of recipes, which provide a medium for people to share their regional and healthy recipes with the masses. However, the same approach can also be adapted easily to other domains. Therefore, the applicability of our approach extends well beyond the food domain that we are considering in this article. As a medium for information sharing and understanding between heterogeneous systems, ontologies will play an important role in the realisation of the Internet of things (IoT) vision. Therefore, an ontology-based recipe repository would also be one of the basic blocks of a smart kitchen environment. However, building ontologies is a challenging task, especially for users who are not conversant in the ontology building languages. This article proposes an approach that can be used even by non-experts and facilitates the sharing and searching of recipe data. In our case, we exploit the features of the block paradigm to publish recipes in Linked Data format. In this way, users do not have to know the OWL (Web Ontology Language) syntax and the text input is kept minimal. As far as we know, this article is the first study that produces linked data using Blockly in the literature. We also conducted a user-based evaluation of the proposed approach using the System Usability Scale (SUS) questionnaire.

scholarly journals Using Graphs to Link Data Across the Product Lifecycle for Enabling Smart Manufacturing Digital Threads

2019 ◽  
Vol 20 (1) ◽  
Author(s):  
Thomas D. Hedberg ◽  
Manas Bajaj ◽  
Jaime A. Camelio
Keyword(s):  
Linked Data ◽  
Manufacturing Systems ◽  
Smart Manufacturing ◽  
Data Repository ◽  
Round Trip ◽  
Product Lifecycle ◽  
Prototype Implementation ◽  
Link Data ◽  
Product Assembly

Abstract Smart manufacturing promises to provide significant increases in productivity and effectiveness of manufacturing systems by better connecting the data from people, processes, and things. However, there is no uniform, generalized method for deploying linked-data concepts to the manufacturing domain. The literature describes and commercial vendors offer centralized data-repository solutions, but these types of approaches quickly breakdown under the intense burden of managing and reconciling all the data flowing in and out of the various repositories across the product lifecycle. In this paper, we introduce a method for linking and tracing data throughout the product lifecycle using graphs to form digital threads. We describe a prototype implementation of the method and a case study to demonstrate an information round-trip for a product assembly between the design, manufacturing, and quality domains of the product lifecycle. The expected impact from this novel, standards-based, linked-data method is the ability to use digital threads to provide data, system, and viewpoint interoperability in the deployment of smart manufacturing to realize industry’s $30 Billion annual opportunity.

scholarly journals A sustainable process and toolbox for geographical linked data generation and publication: a case study with BTN100

2019 ◽  
Vol 4 (1) ◽  
Author(s):  
Paola Espinoza-Arias ◽  
Miguel García-Delgado ◽  
Oscar Corcho ◽  
Pedro Vivas-White ◽  
Hugo Potti-Manjavacas
Keyword(s):  
Linked Data ◽  
Data Generation

scholarly journals MODEL-BASED DESIGN OF AM COMPONENTS TO ENABLE DECENTRALIZED DIGITAL MANUFACTURING SYSTEMS

2021 ◽  
Vol 1 ◽  
pp. 2127-2136
Author(s):  
Olivia Borgue ◽  
John Stavridis ◽  
Tomas Vannucci ◽  
Panagiotis Stavropoulos ◽  
Harry Bikas ◽  
...  
Keyword(s):  
Additive Manufacturing ◽  
Manufacturing Systems ◽  
Production Systems ◽  
Data Generation ◽  
Production Networks ◽  
Model Based ◽  
Manufacturing Technologies ◽  
Am Processes ◽  
Final Consumer

AbstractAdditive manufacturing (AM) is a versatile technology that could add flexibility in manufacturing processes, whether implemented alone or along other technologies. This technology enables on-demand production and decentralized production networks, as production facilities can be located around the world to manufacture products closer to the final consumer (decentralized manufacturing). However, the wide adoption of additive manufacturing technologies is hindered by the lack of experience on its implementation, the lack of repeatability among different manufacturers and a lack of integrated production systems. The later, hinders the traceability and quality assurance of printed components and limits the understanding and data generation of the AM processes and parameters. In this article, a design strategy is proposed to integrate the different phases of the development process into a model-based design platform for decentralized manufacturing. This platform is aimed at facilitating data traceability and product repeatability among different AM machines. The strategy is illustrated with a case study where a car steering knuckle is manufactured in three different facilities in Sweden and Italy.

Building a Personal Brand as a CEO: A Case Study of Vivy Yusof, the Cofounder of FashionValet and the dUCk Group

SAGE Open ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 215824402110302
Author(s):  
Nor Hasliza Md Saad ◽  
Zulnaidi Yaacob
Keyword(s):  
Social Media ◽  
Building Blocks ◽  
Media Content ◽  
Fashion Industry ◽  
Personal Brand ◽  
Branding Strategies ◽  
Social Media Presence ◽  
Personal Branding ◽  
The Masses

Social media is a new platform for CEOs to build their image and create a strong personal brand to represent themselves and their company. This research examines an outstanding Malaysian fashion icon and social media–savvy businesswoman with over a million followers on Instagram, Vivy Yusof, the youngest Malaysian e-commerce mogul and an example of a successful CEO who has used personal branding to build an empire in the fashion industry. The objectives of this research are to identify the type of messages Vivy Yusof communicates to her audience through her personal Instagram posts and to identify the ways Vivy Yusof’s audience engages with her posts on Instagram. Her Instagram post content is classified using the Honeycomb framework that comprises seven functional building blocks, namely, presence, relationships, reputation, groups, identity, conversations, and sharing. In this study, the content of Vivy Yusof’s Instagram posts is categorized by how she focuses on the various functional building blocks in her posts and the implications these blocks have on how her audience interacts with the posts. Her social media presence confirms the importance of CEO personal branding because of her role and influence on the masses evidenced by the willingness of her followers to interact (through likes and comments) and engage with her posts on any subject matter, relating either to her business or personal life. The study contributes to a growing body of literature on personal branding strategies by shedding light on the association between content strategies and engagement with social media content.

scholarly journals Increasing Usability of Homecare Applications for Older Adults: A Case Study

Designs ◽  
2019 ◽  
Vol 3 (2) ◽  
pp. 23 ◽  
Author(s):  
Christos Panagopoulos ◽  
Andreas Menychtas ◽  
Panayiotis Tsanakas ◽  
Ilias Maglogiannis
Keyword(s):  
Emergency Response ◽  
Independent Living ◽  
The Elderly ◽  
Usability Assessment ◽  
Technological Advances ◽  
System Usability Scale ◽  
System Usability ◽  
Practical Guidelines ◽  
Depth Interviews

As the world’s population is ageing, the field dealing with technology adoption by seniors has made headway in the scientific community. Recent technological advances have enabled the development of intelligent homecare systems that support seniors’ independent living and allow monitoring of their health status. However, despite the amount of research to understand the requirements of systems designed for the elderly, there are still unresolved usability issues that often prevent seniors from enjoying the benefits that modern ICT technologies may offer. This work presents a usability assessment of “HeartAround”, an integrated homecare solution incorporating communication functionalities, as well as health monitoring and emergency response features. An assessment with the system usability scale (SUS) method, along with in-depth interviews and qualitative analysis, has provided valuable insights for designing homecare systems for seniors, and validated some effective practical guidelines.

Realising the Value of Linked Data to Health Economic Analyses of Cancer Care: A Case Study of Cancer 2015

2015 ◽  
Vol 34 (2) ◽  
pp. 139-154 ◽  
Author(s):  
Paula K. Lorgelly ◽  
◽  
Brett Doble ◽  
Rachel J. Knott
Keyword(s):  
Health Economic ◽  
Cancer Care ◽  
Linked Data ◽  
Economic Analyses

scholarly journals Knowledge Organization and Representation under the AI Lens

2020 ◽  
Vol 5 (1) ◽  
pp. 3-17
Author(s):  
Jian Qin
Keyword(s):  
Linked Data ◽  
Information Science ◽  
Knowledge Organization ◽  
Library And Information Science ◽  
Proof Of Concept ◽  
Primary Method ◽  
Methods And Techniques ◽  
Preliminary Research ◽  
Practical Implications

AbstractPurposeThis paper compares the paradigmatic differences between knowledge organization (KO) in library and information science and knowledge representation (KR) in AI to show the convergence in KO and KR methods and applications.MethodologyThe literature review and comparative analysis of KO and KR paradigms is the primary method used in this paper.FindingsA key difference between KO and KR lays in the purpose of KO is to organize knowledge into certain structure for standardizing and/or normalizing the vocabulary of concepts and relations, while KR is problem-solving oriented. Differences between KO and KR are discussed based on the goal, methods, and functions.Research limitationsThis is only a preliminary research with a case study as proof of concept.Practical implicationsThe paper articulates on the opportunities in applying KR and other AI methods and techniques to enhance the functions of KO.Originality/value:Ontologies and linked data as the evidence of the convergence of KO and KR paradigms provide theoretical and methodological support to innovate KO in the AI era.

scholarly journals Uncertainty modeling process for semantic technology

2016 ◽  
Vol 2 ◽  
pp. e77 ◽  
Author(s):  
Rommel N. Carvalho ◽  
Kathryn B. Laskey ◽  
Paulo C.G. Da Costa
Keyword(s):  
Knowledge Engineering ◽  
Uncertainty Modeling ◽  
Domain Model ◽  
Proof Of Concept ◽  
Semantic Technology ◽  
Modeling Process ◽  
Ontology Language ◽  
Domain Semantics ◽  
Probabilistic Ontology

The ubiquity of uncertainty across application domains generates a need for principled support for uncertainty management in semantically aware systems. A probabilistic ontology provides constructs for representing uncertainty in domain ontologies. While the literature has been growing on formalisms for representing uncertainty in ontologies, there remains little guidance in the knowledge engineering literature for how to design probabilistic ontologies. To address the gap, this paper presents the Uncertainty Modeling Process for Semantic Technology (UMP-ST), a new methodology for modeling probabilistic ontologies. To explain how the methodology works and to verify that it can be applied to different scenarios, this paper describes step-by-step the construction of a proof-of-concept probabilistic ontology. The resulting domain model can be used to support identification of fraud in public procurements in Brazil. While the case study illustrates the development of a probabilistic ontology in the PR-OWL probabilistic ontology language, the methodology is applicable to any ontology formalism that properly integrates uncertainty with domain semantics.

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