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Authors: Weronika T. Adrian and Paweł Caryk

Affiliation: AGH University of Science and Technology, al. A. Mickiewicza 30, 30-059 Krakow, Poland

Keyword(s): Entity Set Expansion, Knowledge Graphs, Semantics, Knowledge-based Systems, Entity Recommendation.

Abstract: Entity Set Expansion (ESE) is a problem that underlies several important tasks, such as entity recommendation, query expansion, synonymy finding etc. Traditional strategies relied on corpus-based methods to recognize the intended category of the input words. But with the growing importance and visibility of knowledge graphs, new methods based on explicit knowledge representation have been put forward to solve the ESE problem. In this paper, we review the existing knowledge-based methods for entity set expansion and introduce a new online tool called Set Expander that uses semantic technologies and knowledge bases to solve the ESE problem efficiently. We present the algorithms and implemented techniques that ensure responsiveness and effectiveness of the tool. We analyze the strengths and weaknesses of the proposed solution and envision the future research directions.

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Paper citation in several formats:
Adrian, W. and Caryk, P. (2021). Set Expander: A Knowledge-based System for Entity Set Expansion. In Proceedings of the 17th International Conference on Web Information Systems and Technologies - WEBIST; ISBN 978-989-758-536-4; ISSN 2184-3252, SciTePress, pages 494-500. DOI: 10.5220/0010715100003058

@conference{webist21,
author={Weronika T. Adrian. and Paweł Caryk.},
title={Set Expander: A Knowledge-based System for Entity Set Expansion},
booktitle={Proceedings of the 17th International Conference on Web Information Systems and Technologies - WEBIST},
year={2021},
pages={494-500},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010715100003058},
isbn={978-989-758-536-4},
issn={2184-3252},
}

TY - CONF

JO - Proceedings of the 17th International Conference on Web Information Systems and Technologies - WEBIST
TI - Set Expander: A Knowledge-based System for Entity Set Expansion
SN - 978-989-758-536-4
IS - 2184-3252
AU - Adrian, W.
AU - Caryk, P.
PY - 2021
SP - 494
EP - 500
DO - 10.5220/0010715100003058
PB - SciTePress

- Science and Technology Publications, Lda.
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