Title :
Study on Family Relations Reasoning Based on Automated Reasoning
Author :
Ge Qiang ; Zheng Fengbin
Author_Institution :
Inst. of Data & Knowledge Eng., Henan Univ., KaiFeng, China
Abstract :
Automated reasoning has become the research hotspot among researchers, and family relations are common logic knowledge, which can be reasoned. This paper presents four basic relations on family relations, which can deduce others new complex relations. The relation knowledge was stored in knowledge database as forms of basic relations. Some common questions could be deduced successfully and receive correct answers. The study gives an intelligent inference procedure on family relations and two algorithms, one algorithm is Positive Retrieving Information Algorithm (PRIA), and the other is Negative Recombination Information Algorithm (NRIA), which could be well programmed.
Keywords :
inference mechanisms; information retrieval; automated reasoning; complex relations; family relation reasoning; intelligent inference procedure; knowledge database; logic knowledge; negative recombination information algorithm; positive retrieving information algorithm; relation knowledge; Cognition; Computers; Geometry; Inference algorithms; Knowledge engineering; Natural languages; Presses;
Conference_Titel :
Computational Intelligence and Software Engineering (CiSE), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-5391-7
Electronic_ISBN :
978-1-4244-5392-4
DOI :
10.1109/CISE.2010.5677058