Can You Find All the Data You Expect in a Linked Dataset?

Walter Travassos Sarinho, Bernadette Farias Lóscio, Damires Souza

2015

Abstract

The huge volume of datasets available on the Web has motivated the development of a new class of Web applications, which allow users to perform complex queries on top of a set of predefined linked datasets. However, given the large number of available datasets and the lack of information about their quality, the selection of datasets for a particular application may become a very complex and time consuming task. In this work, we argue that one possible way of helping the selection of datasets for a given application consists of evaluating the completeness of the dataset with respect to the data considered as important by the application users. With this in mind, we propose an approach to assess the completeness of a linked dataset, which considers a set of specific data requirements and allows saving large amounts of query processing. To provide a more detailed evaluation, we propose three distinct types of completeness: schema, literal and instance completeness. We present the definitions underlying our approach and some results obtained with the accomplished evaluation.

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Paper Citation


in Harvard Style

Travassos Sarinho W., Farias Lóscio B. and Souza D. (2015). Can You Find All the Data You Expect in a Linked Dataset? . In Proceedings of the 17th International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 978-989-758-097-0, pages 648-655. DOI: 10.5220/0005381806480655


in Bibtex Style

@conference{iceis15,
author={Walter Travassos Sarinho and Bernadette Farias Lóscio and Damires Souza},
title={Can You Find All the Data You Expect in a Linked Dataset?},
booktitle={Proceedings of the 17th International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2015},
pages={648-655},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005381806480655},
isbn={978-989-758-097-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 17th International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - Can You Find All the Data You Expect in a Linked Dataset?
SN - 978-989-758-097-0
AU - Travassos Sarinho W.
AU - Farias Lóscio B.
AU - Souza D.
PY - 2015
SP - 648
EP - 655
DO - 10.5220/0005381806480655