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Volumn , Issue , 2009, Pages 2087-2088

SPIDER: A system for scalable, parallel/distributed evaluation of large-scale RDF data

Author keywords

Distributed; RDF; Semantic web; Triple store

Indexed keywords

BUILDING BLOCKES; CLUSTER NODES; DATA MODELS; DATA SETS; DIRECTED GRAPHS; GRAPH DATA; GRAPH QUERIES; MULTIPLE SERVERS; PARALLEL/DISTRIBUTED COMPUTING; QUERY PROCESSING SYSTEM; QUERY PROCESSOR; RDF; RDF DATA; RDF GRAPH; REAL APPLICATIONS; SOCIAL NETWORKS; SUB-QUERIES; SYSTEM SUPPORTS; TRIPLE STORE; USER QUERY;

EID: 74549174073     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1645953.1646315     Document Type: Conference Paper
Times cited : (44)

References (6)
  • 1
    • 74549160750 scopus 로고    scopus 로고
    • Apache Software Foundation. Hadoop, 2006. http://hadoop.apache.org/core.
    • (2006) Hadoop
  • 5
    • 85030321143 scopus 로고    scopus 로고
    • Mapreduce: Simplified data processing on large clusters
    • J. Dean and S. Ghemawat. Mapreduce: Simplified data processing on large clusters. In OSDI, pages 137-150, 2004.
    • (2004) OSDI , pp. 137-150
    • Dean, J.1    Ghemawat, S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.