| dc.contributor.author |
Zhu, Hongwei |
|
| dc.contributor.author |
Madnick, Stuart E. |
|
| dc.date.accessioned |
2005-12-14T18:57:13Z |
|
| dc.date.available |
2005-12-14T18:57:13Z |
|
| dc.date.issued |
2006-01 |
|
| dc.identifier.uri |
http://hdl.handle.net/1721.1/30208 |
|
| dc.description.abstract |
In this paper, we first identify semantic heterogeneities that, when not resolved, often cause serious data quality problems. We discuss the especially challenging problems of temporal and aggregational ontological heterogeneity, which concerns how complex entities and their relationships are aggregated and reinterpreted over time. Then we illustrate how the COntext INterchange (COIN) technology can be used to capture data semantics and reconcile semantic heterogeneities in a scalable manner, thereby improving data quality. |
en |
| dc.description.provenance |
Submitted by Matthew Mahoney (mahoney1@mit.edu) on 2005-12-06T15:38:28Z
No. of bitstreams: 1
CS003.pdf: 399345 bytes, checksum: 826f5c82ad6c02fd18750d31a5230c1d (MD5) |
en |
| dc.description.provenance |
Approved for entry into archive by Robert Wolfe(rwolfe@mit.edu) on 2005-12-14T18:56:56Z (GMT) No. of bitstreams: 1
CS003.pdf: 399345 bytes, checksum: 826f5c82ad6c02fd18750d31a5230c1d (MD5) |
en |
| dc.description.provenance |
Made available in DSpace on 2005-12-14T18:57:13Z (GMT). No. of bitstreams: 1
CS003.pdf: 399345 bytes, checksum: 826f5c82ad6c02fd18750d31a5230c1d (MD5)
Previous issue date: 2006-01 |
en |
| dc.description.sponsorship |
Singapore-MIT Alliance (SMA) |
en |
| dc.format.extent |
399345 bytes |
|
| dc.format.mimetype |
application/pdf |
|
| dc.language.iso |
en |
en |
| dc.relation.ispartofseries |
Computer Science (CS) |
en |
| dc.subject |
Data Semantics |
en |
| dc.subject |
Semantic Heterogeneity |
en |
| dc.subject |
Aggregation |
en |
| dc.subject |
Temporal |
en |
| dc.subject |
Ontology |
en |
| dc.subject |
Context |
en |
| dc.title |
Addressing the Challenges of Aggregational and Temporal Ontological Heterogeneity |
en |
| dc.type |
Article |
en |
