Linked Data Enrichment with Self-Unfolding URIs

Szász, Barnabás and Fleiner, Rita and Micsik, András (2016) Linked Data Enrichment with Self-Unfolding URIs. In: SAMI 2016 : IEEE 14th International Symposium on Applied Machine Intelligence and Informatics, 2016.01.21-2016.01.23, Herlany, Slovakia. (In Press)

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Linked Data resources are identified by Uniform Resource Identifiers. It is an important step in any Linked Data project to define the conventions for URI assignments. In some cases resources already have their natural identifiers, or they can be inherited from previous databases. However, there are cases when frequent insertions of triple sets occur without any convenient way for identification and grouping of them. In this paper we elaborate on a mechanism that makes handling complex and frequent insertions easier, and also provides the benefits of simple authoring together with rich querying and reasoning on the data. We show how to eliminate some of the time consuming and error prone aspects of Linked Data authoring by introducing the self-unfolding URI concept. This solution generates RDF description to entities based on information encoded in their URIs. For the generation of these new RDF triples we propose templates that can be implemented by SPARQL Insert queries.

Item Type: Conference or Workshop Item (Paper)
Subjects: Q Science > QA Mathematics and Computer Science > QA75 Electronic computers. Computer science / számítástechnika, számítógéptudomány
Divisions: Department of Distributed Systems
Depositing User: András Micsik
Date Deposited: 15 Mar 2016 09:28
Last Modified: 21 Jul 2019 14:20

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