MOSIG Master 2ND
YEAR Research
YEAR 2015/2016
ADVISOR: Manuel Atencia and Jérôme Euzenat
TEL: +33 (0)476 61 53 55
EMAIL: Manuel:Atencia#inria:fr, Jerome:Euzenat#inria:fr
TEAM AND LAB: Exmo team, INRIA & LIG
MASTER PROFILE: Artificial intelligence and the web
Reference number: Proposal n°1926
TITLE:
The goal of the semantic web is to take advantage of formalised knowledge at the scale of the worldwide web. This has led to the release of a vast quantity of data expressed in semantic web formalisms (RDF) [Heath 2011a]. Part of the added value of linked data lies in the links identifying the same entity in different data sets as it allows for making inference between data sets. For instance, they may identify the same books and articles in different bibliographical data sources. So finding the manifestation of the same entity across several data sets is an important task of linked data.
One way of identifying entities is to use link keys which generalise keys usually found in data bases to several data sets. A link key [Atencia 2014b] is a statement of the form:
One further difference is that RDF, together with ontologies expressed in the OWL or RDFS languages, is a logic theory. In such a context, a link key is a statement as any other logical statement. As such, it may be deduced or contribute deducing other statements. Indeed, the above key entails:
Hence, it is possible to reason on link keys in different ways:
For that purpose, the EDOAL language of the Alignment API is used for expressing link keys and an OWL reasoner to reason on the ontologies. Then specific link key reasoning may be implemented on top of these.
Expected results
[Armstrong 1974] William Armstrong, Dependency structures of data base
relationships, 6th IFIP Congress, Stockholm (SW), pp580-583, 1974
[Atencia 2014b]
Manuel Atencia, Jérôme David, Jérôme Euzenat, Data interlinking
through robust link key extraction, Proc. 21st ECAI, Prague (CK), pp15-20, 2014
.
[Heath2011a] Tom Heath and Christian Bizer, Linked Data: Evolving the Web
into a Global Data Space, Morgan & Claypool, 2011