ALEX

Automatic Link Exploration in Linked Data

Ahmed El-Roby, Ashraf Aboulnaga

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

There has recently been an increase in the number of RDF knowledge bases published on the Internet. These rich RDF data sets can be useful in answering many queries, but much more interesting queries can be answered by integrating data from different data sets. This has given rise to research on automatically linking different RDF data sets representing different knowledge bases. This is challenging due to the scale and semantic heterogeneity of these data sets. Various approaches have been proposed, but there is room for improving the quality of the generated links. In this demonstration, we showcase ALEX, a system that aims at improving the quality of links between RDF data sets by using feedback provided by users on the answers to linked data queries. ALEX starts with multiple RDF data sets that are linked using any automatic linking algorithm. ALEX enables the user to issue queries that integrate data from different data sets, and to provide feedback on the answers to these queries. ALEX uses this feedback to eliminate incorrect links between the data sets and discover new links. In this demonstration, we show ALEX in action on multiple data sets from the Linked Open Data cloud.

Original languageEnglish
Title of host publication2016 IEEE 32nd International Conference on Data Engineering, ICDE 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1322-1325
Number of pages4
ISBN (Electronic)9781509020195
DOIs
Publication statusPublished - 22 Jun 2016
Event32nd IEEE International Conference on Data Engineering, ICDE 2016 - Helsinki, Finland
Duration: 16 May 201620 May 2016

Other

Other32nd IEEE International Conference on Data Engineering, ICDE 2016
CountryFinland
CityHelsinki
Period16/5/1620/5/16

Fingerprint

Feedback
Demonstrations
Semantics
Internet
Linked data
Query
Knowledge base

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Computer Graphics and Computer-Aided Design
  • Computer Networks and Communications
  • Information Systems
  • Information Systems and Management

Cite this

El-Roby, A., & Aboulnaga, A. (2016). ALEX: Automatic Link Exploration in Linked Data. In 2016 IEEE 32nd International Conference on Data Engineering, ICDE 2016 (pp. 1322-1325). [7498335] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICDE.2016.7498335

ALEX : Automatic Link Exploration in Linked Data. / El-Roby, Ahmed; Aboulnaga, Ashraf.

2016 IEEE 32nd International Conference on Data Engineering, ICDE 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 1322-1325 7498335.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

El-Roby, A & Aboulnaga, A 2016, ALEX: Automatic Link Exploration in Linked Data. in 2016 IEEE 32nd International Conference on Data Engineering, ICDE 2016., 7498335, Institute of Electrical and Electronics Engineers Inc., pp. 1322-1325, 32nd IEEE International Conference on Data Engineering, ICDE 2016, Helsinki, Finland, 16/5/16. https://doi.org/10.1109/ICDE.2016.7498335
El-Roby A, Aboulnaga A. ALEX: Automatic Link Exploration in Linked Data. In 2016 IEEE 32nd International Conference on Data Engineering, ICDE 2016. Institute of Electrical and Electronics Engineers Inc. 2016. p. 1322-1325. 7498335 https://doi.org/10.1109/ICDE.2016.7498335
El-Roby, Ahmed ; Aboulnaga, Ashraf. / ALEX : Automatic Link Exploration in Linked Data. 2016 IEEE 32nd International Conference on Data Engineering, ICDE 2016. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 1322-1325
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