Paper Info
Title
Representing And Reasoning Fuzzy Spatio-Temporal Knowledge With Description Logics: A Survey
Abstract
Description logic, as a logical foundation of knowledge representation and reasoning, plays an important role in the Semantic Web. In practical applications, many fields contain a large number of fuzzy spatio-temporal knowledge. With a large amount of fuzzy spatio-temporal knowledge and many corresponding applications being incorporated into the Semantic Web, description logic becomes an effective method to solve the problem of fuzzy spatio-temporal knowledge representation and reasoning. Currently, many efforts have been done on fuzzy spatio-temporal extensions of description logics, and the literature on fuzzy spatio-temporal description logic has been booming. To address these issues and more importantly, in this paper, we provide a comprehensive survey of the research literature that applies description logics techniques in fuzzy spatio-temporal representation and reasoning. The paper serves as helping readers grasp the main results and highlighting the direction of fuzzy spatio-temporal representation and reasoning based on description logics.
Year
DOI
Venue
2019
10.3233/IDA-192847
INTELLIGENT DATA ANALYSIS
Keywords
Field
DocType
Fuzzy description logic, fuzzy spatio-temporal knowledge, representation, reasoning, Semantic Web
Computer science,Fuzzy logic,Description logic,Artificial intelligence,Machine learning
Journal
Volume
Issue
ISSN
23
S1
1088-467X
Citations 
PageRank 
References 
0
0.34
0
Authors
4
Name
Order
Citations
PageRank
Haitao Cheng124.76
Ruchuan Wang241464.49
Peng Li362.79
He Xu440.74