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Linked data provenance: state of the art and challenges
Citation
Anam, S and Kang, BH and Kim, YS and Liu, Q, Linked data provenance: state of the art and challenges, Proceedings of the 3rd Australasian Web Conference (AWC 2015), 27-30 January 2015, Sydney, Australia, pp. 19-28. ISBN 9781921770487 (2015) [Refereed Conference Paper]
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Copyright Statement
Copyright © 2015, Australian Computer Society, Inc.
Abstract
Linked Open Data (LOD) is rapidly emerging in
publishing and sharing structured data over the semantic
web using URIs and RDF in many application domains
such as fisheries, health, environment, education and
agriculture. Since different schemas that have the same
semantics are found in different datasets of the LOD
Cloud, the problem of managing semantic heterogeneity
among the schemas is increasing. Schema level mapping
among the datasets of the LOD Cloud is necessary as
instance level mapping among the datasets is not feasible
in the process of making knowledge discovery easy and
systematic. In order to correctly interpret query results
over the integrated dataset, schema level mapping
provenance is necessary. In this paper, we review existing
approaches of linked data provenance representation,
storage and querying, and applications of linked data
provenance where mapping is at the instance level. The
analysis of existing approaches will assist us in revealing
open research problems in the area of linked data
provenance where mapping is at the schema level.
Furthermore, we explain how schema level mapping
provenance in linked data can be used to facilitate data
integration and data mining, and also to ensure quality
and trust in data.
Item Details
Item Type: | Refereed Conference Paper |
---|---|
Keywords: | semantic web, linked data, schema level mapping, mapping provenance, information extraction |
Research Division: | Information and Computing Sciences |
Research Group: | Library and information studies |
Research Field: | Library and information studies not elsewhere classified |
Objective Division: | Information and Communication Services |
Objective Group: | Information services |
Objective Field: | Electronic information storage and retrieval services |
UTAS Author: | Anam, S (Mrs Sarawat Anam) |
UTAS Author: | Kang, BH (Professor Byeong Kang) |
UTAS Author: | Kim, YS (Dr Yang Kim) |
ID Code: | 106696 |
Year Published: | 2015 |
Deposited By: | Information and Communication Technology |
Deposited On: | 2016-02-17 |
Last Modified: | 2018-01-23 |
Downloads: | 75 View Download Statistics |
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