loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Christian Nawroth 1 ; Felix Engel 1 and Matthias Hemmje 2

Affiliations: 1 Lehrgebiet Multimedia- und Internetanwendungen, FernUniversität in Hagen, Germany ; 2 Research Institute for Communciation and Cooperation, FTK, Dortmund, Germany

Keyword(s): Emerging Named Entity Recognition, Medical Knowledge Management Ecosystem, Natural Language Processing, Machine Learning.

Abstract: In this paper, we present a knowledge engineering project in the medical domain. The objective of the project is to identify recent medical knowledge represented by emerging Named Entities. Hence, we introduce the concept of emerging Named Entities and present our studies on their occurrence and use in medical document corpora. We derive an approach for the emerging Named Entity Recognition utilizing textual and temporal features through Natural Language Processing and Machine Learning and present detailed evaluation results. Furthermore, we present a complementary system design that utilizes emerging Named Entity Recognition support several KE use cases in the medical domain.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.142.195.24

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Nawroth, C.; Engel, F. and Hemmje, M. (2020). Emerging Named Entity Recognition in a Medical Knowledge Management Ecosystem. In Proceedings of the 12th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2020) - KEOD; ISBN 978-989-758-474-9; ISSN 2184-3228, SciTePress, pages 29-41. DOI: 10.5220/0010061200290041

@conference{keod20,
author={Christian Nawroth. and Felix Engel. and Matthias Hemmje.},
title={Emerging Named Entity Recognition in a Medical Knowledge Management Ecosystem},
booktitle={Proceedings of the 12th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2020) - KEOD},
year={2020},
pages={29-41},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010061200290041},
isbn={978-989-758-474-9},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the 12th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2020) - KEOD
TI - Emerging Named Entity Recognition in a Medical Knowledge Management Ecosystem
SN - 978-989-758-474-9
IS - 2184-3228
AU - Nawroth, C.
AU - Engel, F.
AU - Hemmje, M.
PY - 2020
SP - 29
EP - 41
DO - 10.5220/0010061200290041
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic