Participatory Learning in Linked Open Data

DOI

10.2991/ifsa-eusflat-15.2015.231How to use a DOI?

Keywords

Participatory learning, RDF triples, conjunctive and disjunctive variables, information assimilation, Linked Open Data, Semantic Web

Abstract

The introduction of Resource Description Framework (RDF) as a fundamental data representation format of Semantic Web is changing a way how data is stored on the Internet. The intrinsic features of RDF data, i.e., its interconnections and simplicity of expressing information as triples: two entities connected by a property, provide new possibilities of analyzing and absorbing information. The extended format of participatory learning methodology based on propositions is an attractive way of integrating new knowledge. It mimics a human-like way of accepting new facts, expressed as propositions, that could be in contradiction with already known facts. This paper proposes a method of application of participatory learning to integrate RDF triples collected on the web. The approach presented here includes the concept of conjunctive and disjunctive variables. The learning process is presented, and a simple case study is provided.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Marek Z. Reformat
AU  - Ronald R. Yager
PY  - 2015/06
DA  - 2015/06
TI  - Participatory Learning in Linked Open Data
BT  - Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology
PB  - Atlantis Press
SP  - 1620
EP  - 1627
SN  - 1951-6851
UR  - https://doi.org/10.2991/ifsa-eusflat-15.2015.231
DO  - 10.2991/ifsa-eusflat-15.2015.231
ID  - Reformat2015/06
ER  -