Abstract
Considering information integration, we have a careful look at many types of collisions based on heterogeneities. We propose a Relational Global Semantic Network (RGSN) to solve this problem. This is based on the WordNet which defines the relationships among words. The main structure of RGSN is to derive connections among entities in each schema and finally provide a foundation to solve the heterogeneity. We suggest an implementation of SELECT query that can be used in the environment of the integrated heterogeneous databases. It helps users derive data correctly without considering the various schema structures of many local databases. That is prerequisite for the utilization of integrated databases and would be the main contribution of paper.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - Fourth Annual ACIS International Conference on Computer and Information Science, ICIS 2005 |
| Pages | 74-79 |
| Number of pages | 6 |
| Volume | 2005 |
| DOIs | |
| Publication status | Published - 2005 Dec 1 |
| Event | 4th Annual ACIS International Conference on Computer and Information Science, ICIS 2005 - Jeju Island, Korea, Republic of Duration: 2005 Jul 14 → 2006 Jul 16 |
Other
| Other | 4th Annual ACIS International Conference on Computer and Information Science, ICIS 2005 |
|---|---|
| Country | Korea, Republic of |
| City | Jeju Island |
| Period | 05/7/14 → 06/7/16 |
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Keywords
- Distributed query processing
- Global information systems
- Information integration
- Multidatabases
- Relationship
ASJC Scopus subject areas
- Engineering(all)
Cite this
RGSN model for database integration. / Kim, Jeong Mi; Kwon, Juhum; Baik, Doo Kwon.
Proceedings - Fourth Annual ACIS International Conference on Computer and Information Science, ICIS 2005. Vol. 2005 2005. p. 74-79 1515379.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - RGSN model for database integration
AU - Kim, Jeong Mi
AU - Kwon, Juhum
AU - Baik, Doo Kwon
PY - 2005/12/1
Y1 - 2005/12/1
N2 - Considering information integration, we have a careful look at many types of collisions based on heterogeneities. We propose a Relational Global Semantic Network (RGSN) to solve this problem. This is based on the WordNet which defines the relationships among words. The main structure of RGSN is to derive connections among entities in each schema and finally provide a foundation to solve the heterogeneity. We suggest an implementation of SELECT query that can be used in the environment of the integrated heterogeneous databases. It helps users derive data correctly without considering the various schema structures of many local databases. That is prerequisite for the utilization of integrated databases and would be the main contribution of paper.
AB - Considering information integration, we have a careful look at many types of collisions based on heterogeneities. We propose a Relational Global Semantic Network (RGSN) to solve this problem. This is based on the WordNet which defines the relationships among words. The main structure of RGSN is to derive connections among entities in each schema and finally provide a foundation to solve the heterogeneity. We suggest an implementation of SELECT query that can be used in the environment of the integrated heterogeneous databases. It helps users derive data correctly without considering the various schema structures of many local databases. That is prerequisite for the utilization of integrated databases and would be the main contribution of paper.
KW - Distributed query processing
KW - Global information systems
KW - Information integration
KW - Multidatabases
KW - Relationship
UR - http://www.scopus.com/inward/record.url?scp=33746762311&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=33746762311&partnerID=8YFLogxK
U2 - 10.1109/ICIS.2005.110
DO - 10.1109/ICIS.2005.110
M3 - Conference contribution
SN - 0769522963
SN - 9780769522968
VL - 2005
SP - 74
EP - 79
BT - Proceedings - Fourth Annual ACIS International Conference on Computer and Information Science, ICIS 2005
ER -