| dc.creator |
Zhu, Hongwei |
|
| dc.creator |
Madnick, Stuart |
|
| dc.creator |
Siegel, Michael |
|
| dc.date |
2004-12-10T19:16:03Z |
|
| dc.date |
2004-12-10T19:16:03Z |
|
| dc.date |
2004-12-10T19:16:03Z |
|
| dc.date.accessioned |
2013-10-09T02:39:48Z |
|
| dc.date.available |
2013-10-09T02:39:48Z |
|
| dc.date.issued |
2013-10-09 |
|
| dc.identifier |
http://hdl.handle.net/1721.1/7400 |
|
| dc.identifier.uri |
http://koha.mediu.edu.my:8181/xmlui/handle/1721 |
|
| dc.description |
The change in meaning of data over time poses significant challenges for the use of that data. These challenges exist
in the use of an individual data source and are further compounded with the integration of multiple sources. In this
paper, we identify three types of temporal semantic heterogeneities, which have not been addressed by existing
research. We propose a solution that is based on extensions to the Context Interchange framework. This approach
provides mechanisms for capturing semantics using ontology and temporal context. It also provides a mediation
service that automatically resolves semantic conflicts. We show the feasibility of this approach by demonstrating a
prototype that implements a subset of the proposed extensio |
|
| dc.format |
290777 bytes |
|
| dc.format |
application/pdf |
|
| dc.language |
en_US |
|
| dc.relation |
MIT Sloan School of Management Working Paper;4480-04 |
|
| dc.subject |
Context Interchange framework |
|
| dc.subject |
ontology and temporal context |
|
| dc.title |
Effective Data Integration in the Presence of Temporal Semantic Conflicts |
|
| dc.type |
Working Paper |
|