Cooking an Ontology

Ribeiro, Ricardo; Batista, Fernando; Pardal, Joana Paulo; Mamede, Nuno J.; Pinto, H. Sofia

doi:10.1007/11861461_23

Cited by 22 publications

(13 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Several generation of methodologies for building ontologies has been reported. Among them the following ones are enumerated: 1) First generation with main focus on the ontology modelling and development process while ignoring issues such as maintenance and reuse [7]. It is mainly represented by methodologies applied in TOVE [8] and ENTERPRISE [9], both consisting of the following steps: (i) identification of the ontology purpose, (ii) domain knowledge acquisition, formally coding of the domain knowledge, and (iii) ontology evaluation.…”

Section: Ontology Development Methodologymentioning

confidence: 99%

An Ontology to Integrate Multiple Knowledge Domains of Training-Dietary-Competition in Weightlifting: A Nutritional Approach

et al. 2019

View full text Add to dashboard Cite

This study is a part of weightlifting "Training-Dietary-Competition" (TDC) cycle ontology. The main objective of TDC-cycle is to build a knowledge framework for Olympic weightlifting, bringing together related fields such as training methodology, weightlifting biomechanics, and nutrition while modelling the synergy among them. In so doing, terminology, semantics, and used concepts are unified among athletes, coaches, nutritionists, and researchers to partially obviate the problem of unclear results and paucity of information. The uniqueness of this ontology is its ability to solve the knowledge sharing problem in which the knowledge owned by these experts in each field are not captures, classified or integrated into an information system for decision-making. The whole weightlifting TDC-cycle is semantically modelled by conceiving, designing, and integrating domain and task ontologies with the latter devising reasoning capability toward an automated and tailored weightlifting TDC-cycle. However, this study will focus mainly on the nutrition domain. The intended application of this part of ontology is to provide a useful decision-making platform for a sport nutritionist who gathers and integrate relevant scientific information, equation, and tools necessary when providing nutritional services. The system is constructed by using Web Ontology Language (OWL), Semantic Web Rule Language (SWRL), and Semantic Query-Enhanced Web Rule Language (SQWRL). The use of weightlifting TDC-cycle ontology can be helpful for nutritionists to create a well-planned nutrition program for athletes (especially, in the process of nutrition monitoring to identify energy imbalance in athletes) by reducing time consumption and calculation errors.

show abstract

Section: Ontology Development Methodologymentioning

confidence: 99%

An Ontology to Integrate Multiple Knowledge Domains of Training-Dietary-Competition in Weightlifting: A Nutritional Approach

et al. 2019

View full text Add to dashboard Cite

show abstract

“…With this, we can process recipes from different providers. Ribeiro et al have developed an domain cooking ontology that needs to be populated by more specific concepts and relationships [18]. With a full-fledged cooking ontology we can translate between recipes of different providers, do reasoning on compounds of ingredients, and provide semantic representations for higherorder services, such as Natural Language Processing and Robotics.…”

Section: Conclusion and Open Issuesmentioning

confidence: 99%

Supporting Cooking Tasks by a Smart Formulation Table

Maaß

Filler

2010

2010 Sixth International Conference on Intelligent Environments

View full text Add to dashboard Cite

Kitchen environments are target of many Ubiquitous Computing prototypes that investigate the application of technologies in real-world situations. In this paper, we present a design-driven approach that carefully analyzes domain theories, identifies requirements for human task support, derives services accordingly, and uses these descriptions for guiding implementations. We focus on how preparation and concocting tasks can be supported by a formulation table with integrated scaling mechanism and a set of dedicated information services. tangible user interfaces, intelligent environment, design method

show abstract

“…plants or animals. In addition, the cooking ontology presented by Batista et al (2006) and by Ribeiro et al (2006) and fishery ontology (Gangemi, 2002(Gangemi, , 2004 can be useful for the definition of a taxonomy for processed food, since recipe concepts introduced in the ontology interconnect food concepts with each other.…”

Section: Obis In the Domain Of Food Science And Technology (Fst) And Allimentioning

confidence: 99%