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Finding Top-k Answers in Keyword Search over Relational Databases Using Tuple Units
December 2011 (vol. 23 no. 12)
pp. 1781-1794
ASCII Text
x 
 
Jianyong Wang, Guoliang Li, Jianhua Feng, "Finding Top-k Answers in Keyword Search over Relational Databases Using Tuple Units," IEEE Transactions on Knowledge and Data Engineering, vol. 23, no. 12, pp. 1781-1794, December, 2011.
 
 
BibTex
x
 
@article{ 10.1109/TKDE.2011.61,
author = { Jianyong Wang and Guoliang Li and Jianhua Feng},
title = {Finding Top-k Answers in Keyword Search over Relational Databases Using Tuple Units},
journal ={IEEE Transactions on Knowledge and Data Engineering},
volume = {23},
number = {12},
issn = {1041-4347},
year = {2011},
pages = {1781-1794},
doi = {http://doi.ieeecomputersociety.org/10.1109/TKDE.2011.61},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - JOUR
JO - IEEE Transactions on Knowledge and Data Engineering
TI - Finding Top-k Answers in Keyword Search over Relational Databases Using Tuple Units
IS - 12
SN - 1041-4347
SP1781
EP1794
EPD - 1781-1794
A1 - Jianyong Wang,
A1 - Guoliang Li,
A1 - Jianhua Feng,
PY - 2011
KW - trees (mathematics)
KW - database indexing
KW - query processing
KW - relational databases
KW - ranking technique
KW - top-k answer
KW - keyword search
KW - relational database
KW - Steiner tree
KW - connected database tuple
KW - tuple structural relationship
KW - keyword query
KW - single-keyword-based structure-aware index
KW - keyword-pair-based structure-aware index
KW - Relational databases
KW - Keyword search
KW - Steiner trees
KW - Information retrieval
KW - Periodic structures
KW - Indexes
KW - tuple units.
KW - Keyword search
KW - relational databases
KW - single-keyword-based index
KW - keyword-pair-based index
VL - 23
JA - IEEE Transactions on Knowledge and Data Engineering
ER -
 
Jianyong Wang, Dept. of Comput. Sci. & Technol., Tsinghua Univ., Beijing, China
Guoliang Li, Dept. of Comput. Sci. & Technol., Tsinghua Univ., Beijing, China
Jianhua Feng, Dept. of Comput. Sci. & Technol., Tsinghua Univ., Beijing, China
Existing studies on keyword search over relational databases usually find Steiner trees composed of connected database tuples as answers. They on-the-fly identify Steiner trees by discovering rich structural relationships between database tuples, and neglect the fact that such structural relationships can be precomputed and indexed. Recently, tuple units are proposed to improve search efficiency by indexing structural relationships, and existing methods identify a single tuple unit to answer keyword queries. However, in many cases, multiple tuple units should be integrated to answer a keyword query. Thus, these methods will involve false negatives. To address this problem, in this paper, we study how to integrate multiple related tuple units to effectively answer keyword queries. To achieve a high performance, we devise two novel indexes, single-keyword-based structure-aware index and keyword-pair-based structure-aware index, and incorporate structural relationships between different tuple units into the indexes. We use the indexes to efficiently identify the answers of integrated tuple units. We develop new ranking techniques and algorithms to progressively find the top-k answers. We have implemented our method in real database systems, and the experimental results show that our approach achieves high search efficiency and result quality, and outperforms state-of-the-art methods significantly.

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Index Terms:
trees (mathematics),database indexing,query processing,relational databases,ranking technique,top-k answer,keyword search,relational database,Steiner tree,connected database tuple,tuple structural relationship,keyword query,single-keyword-based structure-aware index,keyword-pair-based structure-aware index,Relational databases,Keyword search,Steiner trees,Information retrieval,Periodic structures,Indexes,tuple units.,Keyword search,relational databases,single-keyword-based index,keyword-pair-based index
Citation:
Jianyong Wang, Guoliang Li, Jianhua Feng, "Finding Top-k Answers in Keyword Search over Relational Databases Using Tuple Units," IEEE Transactions on Knowledge and Data Engineering, vol. 23, no. 12, pp. 1781-1794, Dec. 2011, doi:10.1109/TKDE.2011.61
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