A Survey on Semantic Representations of Citation Data
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ID: 313118
2024
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Abstract
This survey explores the semantic representations of citation data, emphasizing the critical distinction between citations and references in scholarly communication. References denote works listed in a bibliography, while citations refer to individual instances where these works are contextualized within the text. Recent advancements in OWL2 ontologies have facilitated the formal, machine-interpretable encoding of bibliographic and citation data, alongside document components and individual citation characteristics. However, effective automated processing of citation data requires comprehensive machine-readable metadata and ontologies to encapsulate these elements. This study identifies key challenges, including the development of semantic models that accurately represent citation reasons. While existing semantic-based publishing applications provide customized data retrieval, they often neglect the nuances of citation reasons, focusing primarily on basic metadata such as authorship and affiliations. Through a comprehensive examination of various ontologies, this survey assesses their ability to capture citation reasons in a semantically meaningful way and highlights limitations that impede the effective representation of citation data.
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| Authors | Fawad Salam Khan |
| Journal | Journal of Computing & Biomedical Informatics |
| Year | 2024 |
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| Keywords | Keywords not found |
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