Onyx: A new Canvas-based tool for visualizing biomedical and health ontologies

ÖZTÜRK Ö., Açikgöz H. G.

Expert Systems, cilt.37, sa.1, 2020 (SCI-Expanded) identifier

  • Yayın Türü: Makale / Özet
  • Cilt numarası: 37 Sayı: 1
  • Basım Tarihi: 2020
  • Doi Numarası: 10.1111/exsy.12380
  • Dergi Adı: Expert Systems
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, ABI/INFORM, Applied Science & Technology Source, Biotechnology Research Abstracts, Business Source Elite, Business Source Premier, Compendex, Computer & Applied Sciences, INSPEC, Psycinfo, Library, Information Science & Technology Abstracts (LISTA)
  • Anahtar Kelimeler: biomedical and health ontologies, e-health, ontology visualization, OntoQA, OOPS! pitfall scanner, OWL, Semantic Web
  • Manisa Celal Bayar Üniversitesi Adresli: Evet

Özet

Ontologies provide formal, machine-readable, and human-interpretable representations of domain knowledge. Therefore, ontologies have come into question with the development of Semantic Web technologies. People who want to use ontologies need an understanding of the ontology, but this understanding is very difficult to attain if the ontology user lacks the background knowledge necessary to comprehend the ontology or if the ontology is very large. Thus, software tools that facilitate the understanding of ontologies are needed. Ontology visualization is an important research area because visualization can help in the development, exploration, verification, and comprehension of ontologies. This paper introduces the design of a new ontology visualization tool, which differs from traditional visualization tools by providing important metrics and analytics about ontology concepts and warning the ontology developer about potential ontology design errors. The tool, called Onyx, also has advantages in terms of speed and readability. Thus, Onyx offers a suitable environment for the representation of large ontologies, especially those used in biomedical and health information systems and those that contain many terms. It is clear that these additional functionalities will increase the value of traditional ontology visualization tools during ontology exploration and evaluation.