[1] Miao Guangxiang, Chen Xiangyang,. Domain semantic mapping of database metasearch engine [J]. Journal of Southeast University (English Edition), 2007, 23 (3): 357-360. [doi:10.3969/j.issn.1003-7985.2007.03.009]

Copy

Domain semantic mapping of database metasearch engine()

Share：

Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:

23

Issue:

2007 3

Page:

357-360

Research Field:

Automation

Publishing date:

2007-09-30

Info

Title:

Domain semantic mapping of database metasearch engine

Author(s):

Miao Guangxiang¹;  Chen Xiangyang²

¹ Baoding Technical College of Electric Power, Baoding 071051, China
² College of Mathematics and Computer, Hebei University, Baoding 071002, China

Keywords:

ontology;  domain mapping;  database metasearch engine;  memory module

PACS:

TP18

DOI:

10.3969/j.issn.1003-7985.2007.03.009

Abstract:

In order to implement semantic mapping of database metasearch engines, a system is proposed, which uses ontology as the organization form of information and records the new words not appearing in the ontology.When the new word’s frequency of use exceeds the threshold, it is added into the ontology.Ontology expansion is implemented in this way.The search process supports “and” and “or” Boolean operations accordingly.In order to improve the mapping speed of the system, a memory module is added which can memorize the recent query information of users and automatically learn the user’s query interest during the mapping which can dynamically decide the search order of instances tables.Experiments prove that these measures can obviously reduce the average mapping time.

References:

[1] Chang K C-C, He B, Li C, et al.Structured databases on the web:observations and implications[J].SIGMOD Record, 2004, 33(3):61-70.
[2] Peng Q, Meng W, He H, et al.WISE-cluster:clustering e-commerce search engines automatically[C]//Proc of the 6th Annual ACM International Workshop on Web Information and Data Management.Washington, DC:ACM Press, 2004:104-111.
[3] He B, Chang K.Statistical schema matching across web query interfaces[C]//Proc of the 22nd International Conference on Management of Data.San Diego, California, USA, 2003:217-228.
[4] He H, Meng W, Yu C, et al.Wise-integrator:an automatic integrator of web search interfaces for e-commerce[C]//Proc of the 29th International Conference on Very Large Data Bases.Berlin: Morgan Kaufmann, 2003:357-368.
[5] Wu W, Yu C, Doan A, et al.An interactive clustering-based approach to integrating source query interfaces on the deep web[C]//Proc of SIGMOD’2004.Paris, France, 2004:95-106.
[6] He H, Meng W, Yu C, et al.WISE-Integrator:a system for extracting and integrating complex web search interfaces of the deep web[C]//Proc of the 31st International Conference on Very Large Data Bases.Trondheim, Norway, 2005:1314-1317.
[7] Dragut E, Wu W, Sistla P, et al.Merging source query interfaces on web databases[C]//Proc of ICDE’2006.Atlanta, GA, USA, 2006:46.
[8] Yu C, Philip G, Meng W.Distributed top-n query processing with possibly uncooperative local systems[C]//Proc of the 29th International Conference on Very Large Data Bases.Berlin:Morgan Kaufmann, 2003:117-128.
[9] Zhao H, Meng W, Wu Z, et al.Fully automatic wrapper generation for search engines[C]//Proc of WWW’2005. Chiba, Japan, 2005:66-75.
[10] Gruber T.A translation approach to portable ontology specifications[J].Knowledge Acquisition, 1993, 5(2):199-203.
[11] Ding Shengchun, Cen Yonghua, Gu Defang.Research on semantic retrieval based on ontology [J].Journal of the China Society for Scientific and Technical Information, 2005, 24(6):702-707.(in Chinese)

Memo

Memo:

Biography: Miao Guangxiang(1974—), male, graduate, miaoguangxiang@sina.com.

Common functions