Ontology guided data linkage framework for discovering meaningful data facts

Gollapalli, Mohammed, Li, Xue, Wood, Ian and Governatori, Guido (2011). Ontology guided data linkage framework for discovering meaningful data facts. In: Advanced Data Mining and Applications. 7th International Conference on Advanced Data Mining and Applications (ADMA 2011), Beijing, China, (252-265). 17-19 December 2011. doi:10.1007/978-3-642-25856-5_19


Author Gollapalli, Mohammed
Li, Xue
Wood, Ian
Governatori, Guido
Title of paper Ontology guided data linkage framework for discovering meaningful data facts
Conference name 7th International Conference on Advanced Data Mining and Applications (ADMA 2011)
Conference location Beijing, China
Conference dates 17-19 December 2011
Proceedings title Advanced Data Mining and Applications   Check publisher's open access policy
Journal name Lecture Notes in Computer Science   Check publisher's open access policy
Place of Publication Heidelberg, Germany
Publisher Springer
Publication Year 2011
Sub-type Fully published paper
DOI 10.1007/978-3-642-25856-5_19
ISBN 9783642258558
ISSN 0302-9743
1611-3349
Volume 7121
Issue Part II
Start page 252
End page 265
Total pages 14
Collection year 2012
Language eng
Abstract/Summary Making sensible queries on databases collected from different organizations presents a challenging task for linking semantic equivalent data facts. Current techniques primarily focused on performing pair-wise attribute matching and paid little attention towards discovering probabilistic structural dependencies by exploiting the ontological domain knowledge of tables, attributes and tuples to construct hierarchical cluster mapping trees. In this paper, we present Ontology Guided Data Linkage (OGDL) framework for self-organizing heterogeneous data sources into homogeneous ontological clusters through multi-faceted classification. Through the evaluation on real-world data, we demonstrate the robustness and accuracy of our system.
Keyword Data linkage
Ontology matching
Clustering
Table attributes
Q-Index Code E1
Q-Index Status Confirmed Code
Institutional Status UQ

 
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Created: Tue, 21 Feb 2012, 18:16:17 EST by Mr Ian Wood on behalf of Mathematics