An evaluation of knowledge base systems for large OWL datasets

被引:0
|
作者
Guo, YB [1 ]
Pan, ZX [1 ]
Heflin, J [1 ]
机构
[1] Lehigh Univ, Dept Comp Sci & Engn, Bethlehem, PA 18015 USA
来源
SEMANTIC WEB - ISWC 2004, PROCEEDINGS | 2004年 / 3298卷
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this paper, we present an evaluation of four knowledge base systems (KBS) with respect to use in large OWL applications. To our knowledge, no experiment has been done with the scale of data used here. The smallest dataset used consists of 15 OWL files totaling 8MB, while the largest dataset consists of 999 files totaling 583MB. We evaluated two memory-based systems (OWLJessKB and memory-based Sesame) and two systems with persistent storage (database-based Sesame and DLDB-OWL). We describe how we have performed the evaluation and what factors we have considered in it. We show the results of the experiment and discuss the performance of each system. In particular, we have concluded that existing systems need to place a greater emphasis on scalability.
引用
收藏
页码:274 / 288
页数:15
相关论文
共 50 条
  • [41] Image segmentation evaluation for very-large datasets
    Reeves, Anthony P.
    Liu, Shuang
    Xie, Yiting
    MEDICAL IMAGING 2016: COMPUTER-AIDED DIAGNOSIS, 2015, 9785
  • [42] Community Detection on Large Graph Datasets for Recommender Systems
    Parimi, Rohit
    Caragea, Doina
    2014 IEEE INTERNATIONAL CONFERENCE ON DATA MINING WORKSHOP (ICDMW), 2014, : 589 - 596
  • [43] MFC Datasets: Large-Scale Benchmark Datasets for Media Forensic Challenge Evaluation
    Guan, Haiying
    Kozak, Mark
    Robertson, Eric
    Lee, Yooyoung
    Yates, Amy N.
    Delgado, Andrew
    Zhou, Daniel
    Kheyrkhah, Timothee
    Smith, Jeff
    Fiscus, Jonathan
    2019 IEEE WINTER APPLICATIONS OF COMPUTER VISION WORKSHOPS (WACVW), 2019, : 63 - 72
  • [44] Knowledge-based engineering of automation systems using AutomationML and OWL
    Glawe, Matthias
    Fay, Alexander
    AT-AUTOMATISIERUNGSTECHNIK, 2016, 64 (03) : 186 - 198
  • [45] QueryPIE: Backward Reasoning for OWL Horst over Very Large Knowledge Bases
    Urbani, Jacopo
    van Harmelen, Frank
    Schlobach, Stefan
    Bal, Henri
    SEMANTIC WEB - ISWC 2011, PT I, 2011, 7031 : 730 - 745
  • [46] Statistical Knowledge Patterns: Identifying Synonymous Relations in Large Linked Datasets
    Zhang, Ziqi
    Gentile, Anna Lisa
    Blomqvist, Eva
    Augenstein, Isabelle
    Ciravegna, Fabio
    SEMANTIC WEB - ISWC 2013, PART I, 2013, 8218 : 703 - 719
  • [48] Bayesian networks for knowledge discovery in large datasets: basics for nurse researchers
    Lee, SM
    Abbott, PA
    JOURNAL OF BIOMEDICAL INFORMATICS, 2003, 36 (4-5) : 389 - 399
  • [49] Approximate Spreading Activation for Efficient Knowledge Retrieval from Large Datasets
    Grinberg, Maurice
    Haltakov, Vladimir
    Stefanov, Hristo
    NEURAL NETS WIRN10, 2011, 226 : 326 - 333
  • [50] EVALUATION OF DISRUPTION RISK IN LARGE SCALE COMPLEX SYSTEMS WITH EXPERT'S KNOWLEDGE
    Bukowski, Lech
    Feliks, Jerzy
    CARPATHIAN LOGISTICS CONGRESS (CLC 2017), 2017, : 129 - 135