Title
Resource Space Model: A Survey
Abstract
This paper surveys research on the Resource Space Model (RSM). RSM is a multi-dimensional, classification-based, content-based and high-level semantic space model for organizing and managing various resources through multi-dimensional abstraction and specialization. RSM has more powerful resource representation ability than traditional resource management model. It has applications not only in resource management and retrieval, but also in other areas, such as automatic text summarization and question answering system.
Year
DOI
Venue
2018
10.1109/SKG.2018.00051
2018 14th International Conference on Semantics, Knowledge and Grids (SKG)
Keywords
Field
DocType
Semantics,OWL,Resource management,Cognition,Computational modeling,Probabilistic logic,Ontologies
Resource management,Ontology (information science),Automatic summarization,Data mining,Question answering,Abstraction,Information retrieval,Computer science,Probabilistic logic,Cognition,Semantics
Conference
ISSN
ISBN
Citations 
2325-0623
978-1-7281-0441-6
0
PageRank 
References 
Authors
0.34
0
1
Name
Order
Citations
PageRank
Jian Zhou11010.43