In the semantic web context,the formal representation of knowledge is not resourceful while the informal one with uncertainty prevails. In order to provide an uncertainty reasoning...
Lei Li, Qiaoling Liu, Yunfeng Tao, Lei Zhang, Jian...
Abstract Description Logics (DLs) are a family of class (concept) based knowledge representation formalisms. They are characterised by the use of various constructors to build comp...
We propose a new family of probabilistic description logics (DLs) that, in contrast to most existing approaches, are derived in a principled way from Halpern’s probabilistic fi...
A concept learning framework for terminological representations is introduced. It is grounded on a method for inducing logic decision trees as an adaptation of the classic tree in...
Classical ontologies are not suitable to represent imprecise nor uncertain pieces of information. As a solution we will combine fuzzy Description Logics with a possibilistic layer....