Gathering and Combining Semantic Concepts from Multiple Knowledge Bases

Alexander Paulus, André Pomp, Lucian Poth, Johannes Lipp, Tobias Meisen

Abstract

In the context of the Industrial Internet of Things, annotating data sets with semantic models enables the automatic interpretability and processing of data values and their context. However, finding meaningful semantic concepts for data attributes cannot be done fully automated as background information, such as expert knowledge, is often required. In this paper, we propose a novel modular recommendation framework for semantic concepts. To identify the best fitting concepts for a given set of labels, our approach queries, weights and aggregates the results of arbitrary pluggable knowledge bases. The framework design is based on an intensive review of labels that were used in real-world data sets. We evaluate our current approach regarding correctness and speed as well as stating the problems we found.

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Paper Citation


in Harvard Style

Paulus A., Pomp A., Poth L., Lipp J. and Meisen T. (2018). Gathering and Combining Semantic Concepts from Multiple Knowledge Bases.In Proceedings of the 20th International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-758-298-1, pages 69-80. DOI: 10.5220/0006800700690080


in Bibtex Style

@conference{iceis18,
author={Alexander Paulus and André Pomp and Lucian Poth and Johannes Lipp and Tobias Meisen},
title={Gathering and Combining Semantic Concepts from Multiple Knowledge Bases},
booktitle={Proceedings of the 20th International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2018},
pages={69-80},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006800700690080},
isbn={978-989-758-298-1},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 20th International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - Gathering and Combining Semantic Concepts from Multiple Knowledge Bases
SN - 978-989-758-298-1
AU - Paulus A.
AU - Pomp A.
AU - Poth L.
AU - Lipp J.
AU - Meisen T.
PY - 2018
SP - 69
EP - 80
DO - 10.5220/0006800700690080