AIMay 6, 2018

The State of the Art in Developing Fuzzy Ontologies: A Survey

arXiv:1805.02290v17 citations
Originality Synthesis-oriented
AI Analysis

It provides a comprehensive overview for researchers and practitioners in knowledge representation and AI, but it is incremental as it synthesizes existing work without introducing new methods.

This survey examines the state of the art in developing fuzzy ontologies, which address uncertainty in conceptual representation, by analyzing approximately 35 works from a pool of 100 articles in the field.

Conceptual formalism supported by typical ontologies may not be sufficient to represent uncertainty information which is caused due to the lack of clear cut boundaries between concepts of a domain. Fuzzy ontologies are proposed to offer a way to deal with this uncertainty. This paper describes the state of the art in developing fuzzy ontologies. The survey is produced by studying about 35 works on developing fuzzy ontologies from a batch of 100 articles in the field of fuzzy ontologies.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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