DocumentCode :
39
Title :
Extending BCDM to Cope with Proposals and Evaluations of Updates
Author :
Anselma, Luca ; Bottrighi, A. ; Montani, S. ; Terenziani, Paolo
Author_Institution :
Dipt. di Inf., Univ. di Torino, Turin, Italy
Volume :
25
Issue :
3
fYear :
2013
fDate :
Mar-13
Firstpage :
556
Lastpage :
570
Abstract :
The cooperative construction of data/knowledge bases has recently had a significant impulse (see, e.g., Wikipedia [1]). In cases in which data/knowledge quality and reliability are crucial, proposals of update/insertion/deletion need to be evaluated by experts. To the best of our knowledge, no theoretical framework has been devised to model the semantics of update proposal/ evaluation in the relational context. Since time is an intrinsic part of most domains (as well as of the proposal/evaluation process itself), semantic approaches to temporal relational databases (specifically, Bitemporal Conceptual Data Model (henceforth, BCDM) [2]) are the starting point of our approach. In this paper, we propose BCDMPV, a semantic temporal relational model that extends BCDM to deal with multiple update/insertion/deletion proposals and with acceptances/rejections of proposals themselves. We propose a theoretical framework, defining the new data structures, manipulation operations and temporal relational algebra and proving some basic properties, namely that BCDMPV is a consistent extension of BCDM and that it is reducible to BCDM. These properties ensure consistency with most relational temporal database frameworks, facilitating implementations.
Keywords :
data models; relational algebra; relational databases; temporal databases; BCDM; BCDMPV; bitemporal conceptual data model; data quality; data reliability; data structures; databases cooperative construction; knowledge bases cooperative construction; knowledge quality; knowledge reliability; manipulation operations; semantic temporal relational model; temporal relational algebra; temporal relational databases; update-insertion-deletion proposals; Data models; Database design; Encyclopedias; Internet; Knowledge discovery; Semantics; Temporal databases; Temporal databases; database design; database semantics; modeling and management;
fLanguage :
English
Journal_Title :
Knowledge and Data Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
1041-4347
Type :
jour
DOI :
10.1109/TKDE.2011.170
Filename :
5963680
Link To Document :
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