| edoc-Server der Humboldt-Universität zu Berlin |
| Publikationsart: | Workshop- oder Konferenzbeitrag |
| Autor(en): | Jens Bleiholder; Felix Naumann |
| Titel: | Declarative Data Fusion – Syntax, Semantics, and Implementation |
| Erschienen in: |
Lecture Notes in Computer Science (3631)
2005 S. 58-73 |
| Veranstaltung: |
International Conference on Advances in Databases and Information Systems (ADBIS) 2005 Tallinn, Estonia 12.09.2005 - 15.09.2005 |
| Verlag: |
Springer http://www.springer.com |
| Erscheinungsort: | Berlin, Heidelberg |
| ISBN: | 3-540-28585-7 |
| ISSN: | 0302-9743 |
| DOI: | 10.1007/11547686 |
| Erstveröffentlichung: | 01.09.2005 |
| Veröffentlichung auf edoc: | 28.06.2006 |
| Status: |
published peer_reviewed |
| Volltext: | pdf (urn:nbn:de:kobv:11-10065335) |
| Fachgebiet(e): | Informatik |
| Schlagwörter (eng): | SQL, Data Conflicts, ETL |
| Einrichtung: | Humboldt-Universität zu Berlin, Mathematisch-Naturwissenschaftliche Fakultät II |
| Verlagsinformation: | This book constitutes the refereed proceedings of the 9th East European Conference on Advances in Databases and Information Systems, ADBIS 2005, held in Tallinn, Estonia, in September 2005. The 27 revised full papers presented together with an invited paper were carefully reviewed and selected from 144 submissions. The papers are organized in topical sections on database theory, database modelling and physical database design, query processing, heterogeneous databases and interoperability, XML and databases, data mining and knowledge discovery, information systems and software engineering, and information systems development. |
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| Abstract (eng): | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| In today's integrating information systems data fusion, i.e., the merging of multiple tuples about the same real-world object into a single tuple, is left to ETL tools and other specialized software. While much attention has been paid to architecture, query languages, and query execution, the final step of actually fusing data from multiple sources into a consistent and homogeneous set is often ignored. This paper states the formal problem of data fusion in relational databases and discusses which parts of the problem can already be solved with standard Sql. To bridge the final gap, we propose the SQL Fuse By statement and define its syntax and semantics. A first implementation of the statement in a prototypical database system shows the usefulness and feasibility of the new operator. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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