A novel agile ontology engineering methodology for supporting organizations in collaborative ontology development

Spoladore, Daniele; Pessot, Elena; Trombetta, Alberto

doi:10.1016/j.compind.2023.103979

Cited by 18 publications

(6 citation statements)

References 59 publications

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Section: ) Agile Ontology Engineering Methodology (Agiscont)mentioning

confidence: 99%

“…The Agile Ontology Engineering Methodology (AgiSCOnt), as explained by Spoladore et al [52] is a novel approach that supports organizations in collaborative ontology development. It is a recent ODM developed to support ontologists, especially novices, through the ontology development workflow in an iterative, customizable, and flexible manner while promoting collaboration with domain experts [52]. Similar to LOT, AgiSCOnt is designed to accommodate differing levels of technical expertise among ontology engineers and it is highly iterative, customizable, and flexible, allowing ontologists to tailor the approach to their particular needs and contexts [52].…”

Section: ) Agile Ontology Engineering Methodology (Agiscont)mentioning

confidence: 99%

“…It is a recent ODM developed to support ontologists, especially novices, through the ontology development workflow in an iterative, customizable, and flexible manner while promoting collaboration with domain experts [52]. Similar to LOT, AgiSCOnt is designed to accommodate differing levels of technical expertise among ontology engineers and it is highly iterative, customizable, and flexible, allowing ontologists to tailor the approach to their particular needs and contexts [52]. There are five main steps involved in AgisCOnt: 1) Defining the scope and objectives of the ontology, 2) Selecting the ontological language and expressivity, 3) Identifying the most appropriate Ontology Design Patterns (ODPs) for the domain, 4) Building the ontology iteratively and, 5) Evaluating the ontology against use case scenarios.…”

Section: ) Agile Ontology Engineering Methodology (Agiscont)mentioning

confidence: 99%

“…This formal language, according to Gruber [64] and Fernandez Lopez [65] ensures that the ontology can be effectively communicated across diverse stakeholders, including both domain experts and ontology engineers, facilitating clear and unambiguous representation and reasoning of ontological knowledge. c) Flexible formalization: To accommodate both domain experts and ontology engineers, the common element applies a flexible formalization approach, inspired by UPON Lite [34], LOT [51] and AgiSCOnt [52]. This element allows for a balance between precision and accessibility, catering to the diverse expertise levels of stakeholders involved in the ontology development process.…”

Section: ) Common Characteristicsmentioning

confidence: 99%

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An Approach for Developing an Ontology: Learned from Business Model Ontology Design and Development

Nasir,

Sulaiman,

Leong

et al. 2024

IJACSA

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Ontology, serving as an explicit specification of conceptualization, has found widespread applications across various fields. Business Model Ontology (BMO) stands out as a prominent ontology, especially in the domains of business and entrepreneurship. This study employs the narrative literature review method to delve into the Ontology Development Method (ODM). By identifying commonalities among various ODMs and drawing insights from the BMO, the study proposes a Unified Ontology Approach (UOA) as an alternative ODM. The UOA is derived by combining the common characteristics and key steps of various ODMs, aiming to streamline the ontology development process and enhance its effectiveness. Through an extensive analysis of existing methodologies, this research contributes to the field by offering a consolidated perspective on ODMs. The study findings shed light on the strengths and weaknesses of different approaches, facilitating informed decision-making for ontology developers. Furthermore, the discussion explores the implications of adopting the UOA in practical applications, emphasizing its potential to improve ontology quality, interoperability, and adaptability across diverse domains. In conclusion, this paper advocates for the adoption of the UOA as a comprehensive and flexible framework for ontology development. By synthesizing the strengths of existing ODMs and insights from the BMO, the UOA offers a promising avenue for advancing the field of ontology development and driving progress in various domains and applications.

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Section: ) Agile Ontology Engineering Methodology (Agiscont)mentioning

confidence: 99%

Section: ) Agile Ontology Engineering Methodology (Agiscont)mentioning

confidence: 99%

Section: ) Agile Ontology Engineering Methodology (Agiscont)mentioning

confidence: 99%

Section: ) Common Characteristicsmentioning

confidence: 99%

See 2 more Smart Citations

An Approach for Developing an Ontology: Learned from Business Model Ontology Design and Development

Nasir,

Sulaiman,

Leong

et al. 2024

IJACSA

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show abstract

“…However, the development of a domain ontology is not a trivial task—it is a process that may involve several activities (eg, the acquisition of knowledge, its conceptualization, the survey of existing models that can be reused, the development of the model in a formal language, and the testing of the developed ontology [ 36 ]). The ontology engineered for the proposed DSS was developed following the Agile, Simplified, and Collaborative Ontology Engineering Methodology (AgiSCOnt) [ 37 ] engineering methodology, which involves knowledge elicitation techniques and domain experts in the development phase of the ontology. This collaborative ontology engineering methodology adopts unstructured interviews, scientific literature surveys, and discussions to elicit the necessary knowledge to minimize the impact of the “knowledge elicitation bottleneck” (ie, it takes longer to gather knowledge from experts and documentation than to write the software [ 38 ]).…”

Section: Methodsmentioning

confidence: 99%

An Ontology-Based Decision Support System for Tailored Clinical Nutrition Recommendations for Patients With Chronic Obstructive Pulmonary Disease: Development and Acceptability Study

Spoladore,

Colombo,

Fumagalli

et al. 2024

JMIR Med Inform

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Background Chronic obstructive pulmonary disease (COPD) is a chronic condition among the main causes of morbidity and mortality worldwide, representing a burden on health care systems. Scientific literature highlights that nutrition is pivotal in respiratory inflammatory processes connected to COPD, including exacerbations. Patients with COPD have an increased risk of developing nutrition-related comorbidities, such as diabetes, cardiovascular diseases, and malnutrition. Moreover, these patients often manifest sarcopenia and cachexia. Therefore, an adequate nutritional assessment and therapy are essential to help individuals with COPD in managing the progress of the disease. However, the role of nutrition in pulmonary rehabilitation (PR) programs is often underestimated due to a lack of resources and dedicated services, mostly because pneumologists may lack the specialized training for such a discipline. Objective This work proposes a novel knowledge-based decision support system to support pneumologists in considering nutritional aspects in PR. The system provides clinicians with patient-tailored dietary recommendations leveraging expert knowledge. Methods The expert knowledge—acquired from experts and clinical literature—was formalized in domain ontologies and rules, which were developed leveraging the support of Italian clinicians with expertise in the rehabilitation of patients with COPD. Thus, by following an agile ontology engineering methodology, the relevant formal ontologies were developed to act as a backbone for an application targeted at pneumologists. The recommendations provided by the decision support system were validated by a group of nutrition experts, whereas the acceptability of such an application in the context of PR was evaluated by pneumologists. Results A total of 7 dieticians (mean age 46.60, SD 13.35 years) were interviewed to assess their level of agreement with the decision support system’s recommendations by evaluating 5 patients’ health conditions. The preliminary results indicate that the system performed more than adequately (with an overall average score of 4.23, SD 0.52 out of 5 points), providing meaningful and safe recommendations in compliance with clinical practice. With regard to the acceptability of the system by lung specialists (mean age 44.71, SD 11.94 years), the usefulness and relevance of the proposed solution were extremely positive—the scores on each of the perceived usefulness subscales of the technology acceptance model 3 were 4.86 (SD 0.38) out of 5 points, whereas the score on the intention to use subscale was 4.14 (SD 0.38) out of 5 points. Conclusions Although designed for the Italian clinical context, the proposed system can be adapted for any other national clinical context by modifying the domain ontologies, thus providing a multidisciplinary approach to the management of patients with COPD.

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Towards a Knowledge-Based Decision Support System for the Management of Type 2 Diabetic Patients

Spoladore

Stella

Tosi

et al. 2023

Lecture Notes in Networks and Systems

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A novel agile ontology engineering methodology for supporting organizations in collaborative ontology development

Cited by 18 publications

References 59 publications

An Approach for Developing an Ontology: Learned from Business Model Ontology Design and Development

An Approach for Developing an Ontology: Learned from Business Model Ontology Design and Development

An Ontology-Based Decision Support System for Tailored Clinical Nutrition Recommendations for Patients With Chronic Obstructive Pulmonary Disease: Development and Acceptability Study

Towards a Knowledge-Based Decision Support System for the Management of Type 2 Diabetic Patients

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