Storing and querying fuzzy RDF(S) in HBase databases
Tianyi Fan, Li Yan, Zongmin Ma
Abstract
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.
Topics & Concepts
RDF SchemaComputer scienceRDFSPARQLRDF query languageRDF/XMLSimple Knowledge Organization SystemInformation retrievalDatabaseLinked dataFuzzy logicData miningSemantic WebWeb search queryArtificial intelligenceWeb query classificationSearch engineSemantic Web and OntologiesAdvanced Database Systems and QueriesService-Oriented Architecture and Web Services