Semantic Model
From MgmtWiki
Full Title or Meme
- See the wiki page on the Semantic Web
- See the section on the wiki page Semantics#Semantic Models
Context
- An alternate source of Ontologies is the result of an Artificial Intelligence has determine what terms the training set is using. That might be closer to what the users that created the training set might want to know.[1] For an example see WikiData " a free and open knowledge base that can be read and edited by both humans and machines." In "2021-12-08: "Antanina Paulavičienė", the one hundred and ten millionth item, was created."
- The above article by Hitzler also notes that "shallow non-expressive schemas often used for linked data appeared to be a major obstacle to reusability and initial hopes that interlinks between datasets would somehow account for this weakness did not really seem to materialize."
- Knowledge graphs with central control (unlike WikiData) are "usually understood to be much more internally consistent, and more tightly controlled, artifacts."
Solutions
- 2017-01 A computational model that takes into account Semantics for language learning and allows us to model meaning-preserving corrections. The model is constructed with a learner and a teacher who interact in a sequence of shared situations by producing utterances intended to denote a unique object in each situation.[2]
References
- ↑ Pascal Hitzler, A Review of the Semantic Web Field CACM 64 No 2 pp. 76ff
- ↑ Dana Angluin, Leonor Becerra-Bonache, A model of language learning with semantics and meaning-preserving corrections Artificial Intelligence Vol 242 p 23ff 2017-01 https://www.sciencedirect.com/science/article/pii/S0004370216301151