Reuse existing ontologies in an ontology development process - an integration-oriented ontology development methodology

Leung, Nelson K. Y.; Lau, Sim Kim; Tsang, Nicole

doi:10.1504/ijws.2014.066435

Cited by 2 publications

(1 citation statement)

References 16 publications

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“…Lille et al [34] added that this approach is oriented towards reduced www.ijacsa.thesai.org dependence on ontology engineers, ensuring ease of use for the development of application ontologies. The flexibility in formalization is an important characteristic as it allows for the construction of ontologies from scratch or the reuse of existing ones [87]. Fernandez-Lopez et al [43] argue that this promotes inclusivity and adaptability across diverse domains.…”

Section: A Strengths 1) Synergy Of Diverse Methodologiesmentioning

confidence: 99%

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: A Strengths 1) Synergy Of Diverse Methodologiesmentioning

confidence: 99%

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

Nasir,

Sulaiman,

Leong

et al. 2024

IJACSA

View full text Add to dashboard Cite

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Extracting ontological knowledge from Java source code using Hidden Markov Models

Jiomekong

Camara

Tchuenté

2019

Open Computer Science

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Ontologies have become a key element since many decades in information systems such as in epidemiological surveillance domain. Building domain ontologies requires the access to domain knowledge owned by domain experts or contained in knowledge sources. However, domain experts are not always available for interviews. Therefore, there is a lot of value in using ontology learning which consists in automatic or semi-automatic extraction of ontological knowledge from structured or unstructured knowledge sources such as texts, databases, etc. Many techniques have been used but they all are limited in concepts, properties and terminology extraction leaving behind axioms and rules. Source code which naturally embed domain knowledge is rarely used. In this paper, we propose an approach based on Hidden Markov Models (HMMs) for concepts, properties, axioms and rules learning from Java source code. This approach is experimented with the source code of EPICAM, an epidemiological platform developed in Java and used in Cameroon for tuberculosis surveillance. Domain experts involved in the evaluation estimated that knowledge extracted was relevant to the domain. In addition, we performed an automatic evaluation of the relevance of the terms extracted to the medical domain by aligning them with ontologies hosted on Bioportal platform through the Ontology Recommender tool. The results were interesting since the terms extracted were covered at 82.9% by many biomedical ontologies such as NCIT, SNOWMEDCT and ONTOPARON.

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Reuse existing ontologies in an ontology development process - an integration-oriented ontology development methodology

Cited by 2 publications

References 16 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

Extracting ontological knowledge from Java source code using Hidden Markov Models

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