Interactive exploration over RDF data using formal concept analysis

Mehwish Alam, Amedeo Napoli

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

With an increased interest in machine processable data, many datasets are now published in RDF (Resource Description Framework) format in Linked Data Cloud. These data are distributed over independent resources which need to be centralized and explored for domain specific applications. This paper proposes a new approach based on interactive data exploration paradigm using Pattern Structures, an extension of Formal Concept Analysis, to provide exploration and navigation over Linked Data through concept lattices. It takes RDF triples and RDF Schema based on user requirements and provides one navigation space resulting from several RDF resources. This navigation space allows user to navigate and search only the part of data that is interesting for her.

Original languageEnglish
Title of host publicationProceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, DSAA 2015
EditorsEric Gaussier, Longbing Cao, Patrick Gallinari, James Kwok, Gabriella Pasi, Osmar Zaiane
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781467382731
DOIs
Publication statusPublished - 2 Dec 2015
Externally publishedYes
Event2nd IEEE International Conference on Data Science and Advanced Analytics, DSAA 2015 - Paris, France
Duration: 19 Oct 201521 Oct 2015

Publication series

NameProceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, DSAA 2015

Conference

Conference2nd IEEE International Conference on Data Science and Advanced Analytics, DSAA 2015
Country/TerritoryFrance
CityParis
Period19/10/1521/10/15

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