Swift Linked Data Miner Extension for WebProtégé

Tomasz Sosnowski; Jędrzej Potoniec; Agnieszka Ławrynowicz

doi:10.1007/978-3-319-58694-6_28

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Title

Swift Linked Data Miner Extension for WebProtégé

Authors

Tomasz Sosnowski (WI) ^{[ 1 ][ S ]}
Jędrzej Potoniec (WI) ^{[ 1 ][ 2.3 ][ P ]}
Agnieszka Ławrynowicz (WI) ^{[ 1 ][ 2.3 ][ P ]}

^{[ 1 ]} Instytut Informatyki, Wydział Informatyki, Politechnika Poznańska | ^{[ S ]} student | ^{[ P ]} employee

Scientific discipline (Law 2.0)

[2.3] Information and communication technology

Year of publication

2017

Chapter type

chapter in monograph / paper

Publication language

english

Keywords

EN

WebProtégé
Swift Linked Data Miner
Linked Data
Data mining
SPARQL

Abstract

EN Swift Linked Data Miner (SLDM) is a data mining algorithm capable to infer new knowledge and thus extend an ontology by mining a Linked Data dataset. We present an extension to WebProtégé providing SLDM capabilities in a web browser. The extension is open source and readily available to use.

Pages (from - to)

184 - 187

DOI

10.1007/978-3-319-58694-6_28

URL

https://link.springer.com/chapter/10.1007/978-3-319-58694-6_28

Book

Knowledge Engineering and Knowledge Management : EKAW 2016 Satellite Events, EKM and Drift-an-LOD, Bologna, Italy, November 19–23, 201 : Revised Selected Papers

Presented on

20th International Conference on Knowledge Engineering and Knowledge Management, EKAW 2016, 19-23.11.2016, Bologna, Italy

Ministry points / chapter

20