Premium
Storing and querying fuzzy RDF(S) in HBase databases
Author(s) -
Fan Tianyi,
Yan Li,
Ma Zongmin
Publication year - 2020
Publication title -
international journal of intelligent systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.291
H-Index - 87
eISSN - 1098-111X
pISSN - 0884-8173
DOI - 10.1002/int.22224
Subject(s) - rdf schema , computer science , rdf , sparql , rdf query language , rdf/xml , simple knowledge organization system , information retrieval , database , linked data , fuzzy logic , data mining , semantic web , web search query , artificial intelligence , web query classification , search engine
The Resource Description Framework (RDF) and RDF Schema (RDFS) recommended by World Wide Web Consortium (W3C) have been used for meta‐data management on the Web. With the rapid development of Web‐based applications, the growth of RDF(S) data is increasing dramatically. In the context of open Web, uncertainty naturally arises in RDF and RDFS (RDF(S) in short). To manage large‐scale fuzzy RDF(S) data efficiently and effectively, we propose, in this paper, a fuzzy RDF(S) storage schema with fuzzy HBase databases (FHDBs). On the basis, we investigate how to query in FHDBs. We propose a set of query algorithms. We implement a prototype system to demonstrate the feasibility of our approach.