An algebra for semantic interoperation of semistructured data

Jan Jannink, Prasenjit Mitra, Erich Neuhold, Srinivasan Pichai, Rudi Studer, Gio Wiederhold

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Citations (Scopus)

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 languageEnglish (US)
Title of host publicationProceedings - 1999 Workshop on Knowledge and Data Engineering Exchange, KDEX 1999
EditorsPeter Scheuermann
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages77-84
Number of pages8
ISBN (Electronic)0769504531, 9780769504537
DOIs
StatePublished - Jan 1 1999
Event1999 Workshop on Knowledge and Data Engineering Exchange, KDEX 1999 - Chicago, United States
Duration: Nov 7 1999 → …

Publication series

NameProceedings - 1999 Workshop on Knowledge and Data Engineering Exchange, KDEX 1999

Other

Other1999 Workshop on Knowledge and Data Engineering Exchange, KDEX 1999
CountryUnited States
CityChicago
Period11/7/99 → …

Fingerprint

Algebra
Semantics
World Wide Web
Availability
Wrapper
Semistructured data
Data sources
Similarity measure

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Information Systems
  • Information Systems and Management

Cite this

Jannink, J., Mitra, P., Neuhold, E., Pichai, S., Studer, R., & Wiederhold, G. (1999). An algebra for semantic interoperation of semistructured data. In P. Scheuermann (Ed.), Proceedings - 1999 Workshop on Knowledge and Data Engineering Exchange, KDEX 1999 (pp. 77-84). [836620] (Proceedings - 1999 Workshop on Knowledge and Data Engineering Exchange, KDEX 1999). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/KDEX.1999.836620
Jannink, Jan ; Mitra, Prasenjit ; Neuhold, Erich ; Pichai, Srinivasan ; Studer, Rudi ; Wiederhold, Gio. / An algebra for semantic interoperation of semistructured data. Proceedings - 1999 Workshop on Knowledge and Data Engineering Exchange, KDEX 1999. editor / Peter Scheuermann. Institute of Electrical and Electronics Engineers Inc., 1999. pp. 77-84 (Proceedings - 1999 Workshop on Knowledge and Data Engineering Exchange, KDEX 1999).
@inproceedings{dc85a50da195422da2b3b3e901762379,
title = "An algebra for semantic interoperation of semistructured data",
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.",
author = "Jan Jannink and Prasenjit Mitra and Erich Neuhold and Srinivasan Pichai and Rudi Studer and Gio Wiederhold",
year = "1999",
month = "1",
day = "1",
doi = "10.1109/KDEX.1999.836620",
language = "English (US)",
series = "Proceedings - 1999 Workshop on Knowledge and Data Engineering Exchange, KDEX 1999",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "77--84",
editor = "Peter Scheuermann",
booktitle = "Proceedings - 1999 Workshop on Knowledge and Data Engineering Exchange, KDEX 1999",
address = "United States",

}

Jannink, J, Mitra, P, Neuhold, E, Pichai, S, Studer, R & Wiederhold, G 1999, An algebra for semantic interoperation of semistructured data. in P Scheuermann (ed.), Proceedings - 1999 Workshop on Knowledge and Data Engineering Exchange, KDEX 1999., 836620, Proceedings - 1999 Workshop on Knowledge and Data Engineering Exchange, KDEX 1999, Institute of Electrical and Electronics Engineers Inc., pp. 77-84, 1999 Workshop on Knowledge and Data Engineering Exchange, KDEX 1999, Chicago, United States, 11/7/99. https://doi.org/10.1109/KDEX.1999.836620

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 proceedingConference 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.

UR - http://www.scopus.com/inward/record.url?scp=84877354288&partnerID=8YFLogxK

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 -

Jannink J, Mitra P, Neuhold E, Pichai S, Studer R, Wiederhold G. An algebra for semantic interoperation of semistructured data. In Scheuermann P, editor, Proceedings - 1999 Workshop on Knowledge and Data Engineering Exchange, KDEX 1999. Institute of Electrical and Electronics Engineers Inc. 1999. p. 77-84. 836620. (Proceedings - 1999 Workshop on Knowledge and Data Engineering Exchange, KDEX 1999). https://doi.org/10.1109/KDEX.1999.836620