Weak ontology
Today we are going to delve into a topic that arouses the curiosity of many people. Weak ontology is a topic that has been the subject of debate and study over the years, and in this article we are going to explore its different facets. From its origins to its impact on today's society, Weak ontology has captured the attention of experts and enthusiasts alike. Throughout this analysis, we will examine the different perspectives that exist on Weak ontology and try to shed light on some of the myths and realities surrounding it. We hope that at the end of this article, readers will have a more complete and deeper understanding of Weak ontology and can appreciate its relevance in the modern world.
In computer science, a weak ontology is an ontology that is not sufficiently rigorous to allow software to infer new facts without intervention by humans (the end users of the software system). In other words, it does not contain sufficient literal information.[1]
By this standard—which evolved as artificial intelligence methods became more sophisticated, and computers were used to model high human impact decisions—most databases use weak ontologies.
A weak ontology is adequate for many purposes, including education, where one teaches a set of distinctions and tries to induce the power to make those distinctions in the student. Stronger ontologies only tend to evolve as the weaker ones prove deficient. This phenomenon of ontology becoming stronger over time parallels observations in folk taxonomy about taxonomy: as a society practices more labour specialization, it tends to become intolerant of confusions and mixed metaphors, and sorts them into formal professions or practices. Ultimately, these are expected to reason about them in common, with mathematics, especially statistics and logic, as the common ground.
On the World Wide Web, folksonomy in the form of tag schemas and typed links has tended to evolve slowly in a variety of forums, and then be standardized in such schemes as microformats as more and more forums agree. These weak ontology constructs only become strong in response to growing demands for a more powerful form of search engine than is possible with keywording.
References
- ^ Wang, Peng; Xu, Baowen (2021). "Matching weak informative ontologies". Science China Information Sciences. 64 (12). arXiv:2312.00332. doi:10.1007/s11432-020-3214-2. ISSN 1674-733X.