RETUNE: Retrieving and Materializing Tuple Units for Effective Keyword Search over Relational Databases

被引:0
|
作者
Li, Guoliang [1 ]
Feng, Jianhua [1 ]
Zhou, Lizhu [1 ]
机构
[1] Tsinghua Univ, Dept Comp Sci & Technol, Beijing 100084, Peoples R China
关键词
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The existing approaches of keyword search over relational databases always identify the relationships between triples on the fly. which are rather inefficient as such relational relationships are very rich in the underlying databases. Alternatively, this paper proposes all alternative way by retrieving and materializing tuple units for facilitating the online processing of keyword search. We first propose a. novel concept of tuple units, which are composed of the relevant tuples connected by the primary-foreign-key relationships. We then demonstrate how to generate and materialize the tuple units, and the technique for generating the tuple units can be done by issuing SQL statements and thus call be performed directly on the underlying RDBMS without, modification to the database engine. Finally, we examine the techniques of indexing and ranking to improve the search efficiency and search quality. We have implemented our method and the experimental results show that our approach achieves much better search performance, and outperforms tire alternative literatures significantly.
引用
收藏
页码:469 / 483
页数:15
相关论文
共 50 条
  • [21] Progressive Keyword Search in Relational Databases
    Li, Guoliang
    Zhou, Xiaofang
    Feng, Jianhua
    Wang, Jianyong
    ICDE: 2009 IEEE 25TH INTERNATIONAL CONFERENCE ON DATA ENGINEERING, VOLS 1-3, 2009, : 1183 - +
  • [22] DBXplorer: A system for keyword-based search over relational Databases
    Agrawal, S
    Chaudhuri, S
    Das, G
    18TH INTERNATIONAL CONFERENCE ON DATA ENGINEERING, PROCEEDINGS, 2002, : 5 - 16
  • [23] Supporting Ontology-Driven Keyword Search over Relational Databases
    Elsayed, Ahmed
    Eldin, Ahmed Sharaf
    El Zanfaly, Doaa S.
    2014 WORLD SYMPOSIUM ON COMPUTER APPLICATIONS & RESEARCH (WSCAR), 2014,
  • [24] top-k aggregation keyword search over relational databases
    Lin, Z. (ziyulin@xmu.edu.cn), 1600, Science Press (51):
  • [25] A Metadata Search Approach to Keyword Search in Relational Databases
    Saelee, Jarunee
    Boonjing, Veera
    THIRD 2008 INTERNATIONAL CONFERENCE ON CONVERGENCE AND HYBRID INFORMATION TECHNOLOGY, VOL 1, PROCEEDINGS, 2008, : 571 - 576
  • [26] Extending Keyword Search to Metadata on Relational Databases
    Gu, Jiajun
    Kitagawa, Hiroyuki
    2008 International Workshop on Information-Explosion and Next Generation Search : INGS 2008, Proceedings, 2008, : 97 - 103
  • [27] Aggregate keyword search on large relational databases
    Bin Zhou
    Jian Pei
    Knowledge and Information Systems, 2012, 30 : 283 - 318
  • [28] Aggregate keyword search on large relational databases
    Zhou, Bin
    Pei, Jian
    KNOWLEDGE AND INFORMATION SYSTEMS, 2012, 30 (02) : 283 - 318
  • [29] SPARK: A keyword search engine on relational databases
    Luo, Yi
    Wang, Wei
    Lin, Xuemin
    2008 IEEE 24TH INTERNATIONAL CONFERENCE ON DATA ENGINEERING, VOLS 1-3, 2008, : 1552 - 1555
  • [30] Ranking Candidate Networks of Relations to Improve Keyword Search over Relational Databases
    de Oliveira, Pericles
    da Silva, Altigran
    de Moura, Edleno
    2015 IEEE 31ST INTERNATIONAL CONFERENCE ON DATA ENGINEERING (ICDE), 2015, : 399 - 410