Abstract
The diversity and availability of information sources on the World Wide Web has set the stage for integration and reuse at an unparalleled scale. There remain obstacles to exploiting the extent of the Web's resources in a consistent, scalable and maintainable fashion. The autonomy and volatility of Web sources complicates maintaining wrappers consistent with the requirements of the data's target application. Also, the sources' semantic heterogeneity requires practical methods to mediate their contents. This paper presents an algebra for semistructured data. This algebra is the tool we use to develop wrappers, and mediate their semantic content. We describe wrapper refinement and maintenance as the process of developing a congruity measure between source data sets and their target application. This measure expresses explicitly the context within which source data is relevant for its target use. Enabling mediation between wrappers corresponds to establishing an articulation between data sources through a similarity measure. Similarity measures encapsulate conditions under which sources may be used together.
| Original language | English (US) |
|---|---|
| Title of host publication | Proceedings - 1999 Workshop on Knowledge and Data Engineering Exchange, KDEX 1999 |
| Editors | Peter Scheuermann |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 77-84 |
| Number of pages | 8 |
| ISBN (Electronic) | 0769504531, 9780769504537 |
| DOIs | |
| State | Published - Jan 1 1999 |
| Event | 1999 Workshop on Knowledge and Data Engineering Exchange, KDEX 1999 - Chicago, United States Duration: Nov 7 1999 → … |
Publication series
| Name | Proceedings - 1999 Workshop on Knowledge and Data Engineering Exchange, KDEX 1999 |
|---|
Other
| Other | 1999 Workshop on Knowledge and Data Engineering Exchange, KDEX 1999 |
|---|---|
| Country | United States |
| City | Chicago |
| Period | 11/7/99 → … |
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All Science Journal Classification (ASJC) codes
- Computer Networks and Communications
- Information Systems
- Information Systems and Management
Cite this
}
An algebra for semantic interoperation of semistructured data. / Jannink, Jan; Mitra, Prasenjit; Neuhold, Erich; Pichai, Srinivasan; Studer, Rudi; Wiederhold, Gio.
Proceedings - 1999 Workshop on Knowledge and Data Engineering Exchange, KDEX 1999. ed. / Peter Scheuermann. Institute of Electrical and Electronics Engineers Inc., 1999. p. 77-84 836620 (Proceedings - 1999 Workshop on Knowledge and Data Engineering Exchange, KDEX 1999).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - An algebra for semantic interoperation of semistructured data
AU - Jannink, Jan
AU - Mitra, Prasenjit
AU - Neuhold, Erich
AU - Pichai, Srinivasan
AU - Studer, Rudi
AU - Wiederhold, Gio
PY - 1999/1/1
Y1 - 1999/1/1
N2 - The diversity and availability of information sources on the World Wide Web has set the stage for integration and reuse at an unparalleled scale. There remain obstacles to exploiting the extent of the Web's resources in a consistent, scalable and maintainable fashion. The autonomy and volatility of Web sources complicates maintaining wrappers consistent with the requirements of the data's target application. Also, the sources' semantic heterogeneity requires practical methods to mediate their contents. This paper presents an algebra for semistructured data. This algebra is the tool we use to develop wrappers, and mediate their semantic content. We describe wrapper refinement and maintenance as the process of developing a congruity measure between source data sets and their target application. This measure expresses explicitly the context within which source data is relevant for its target use. Enabling mediation between wrappers corresponds to establishing an articulation between data sources through a similarity measure. Similarity measures encapsulate conditions under which sources may be used together.
AB - The diversity and availability of information sources on the World Wide Web has set the stage for integration and reuse at an unparalleled scale. There remain obstacles to exploiting the extent of the Web's resources in a consistent, scalable and maintainable fashion. The autonomy and volatility of Web sources complicates maintaining wrappers consistent with the requirements of the data's target application. Also, the sources' semantic heterogeneity requires practical methods to mediate their contents. This paper presents an algebra for semistructured data. This algebra is the tool we use to develop wrappers, and mediate their semantic content. We describe wrapper refinement and maintenance as the process of developing a congruity measure between source data sets and their target application. This measure expresses explicitly the context within which source data is relevant for its target use. Enabling mediation between wrappers corresponds to establishing an articulation between data sources through a similarity measure. Similarity measures encapsulate conditions under which sources may be used together.
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UR - http://www.scopus.com/inward/citedby.url?scp=84877354288&partnerID=8YFLogxK
U2 - 10.1109/KDEX.1999.836620
DO - 10.1109/KDEX.1999.836620
M3 - Conference contribution
AN - SCOPUS:84877354288
T3 - Proceedings - 1999 Workshop on Knowledge and Data Engineering Exchange, KDEX 1999
SP - 77
EP - 84
BT - Proceedings - 1999 Workshop on Knowledge and Data Engineering Exchange, KDEX 1999
A2 - Scheuermann, Peter
PB - Institute of Electrical and Electronics Engineers Inc.
ER -