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Extracting and Connecting Scientific Knowledge from Texts

Hecking, Tobias (2021) Extracting and Connecting Scientific Knowledge from Texts. Wissensaustauschworkshop "Maschinelles Lernen VII", 2021-10-11 - 2021-10-13, Köln.

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Abstract

This work explores and evaluates text and graph mining methods for open domain concept and relation discovery in scientific literature. First results indicate that several different approaches have to be combined to detect a sufficient amount of concepts and meaningful relationships in an open domain corpus.

Item URL in elib:https://elib.dlr.de/147096/
Document Type:Conference or Workshop Item (Speech)
Title:Extracting and Connecting Scientific Knowledge from Texts
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Hecking, TobiasTobias.Hecking (at) dlr.dehttps://orcid.org/0000-0003-0833-7989UNSPECIFIED
Date:October 2021
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:Literature-based Discovery, Text Mining, Information Extraction, Knowledge Graphs
Event Title:Wissensaustauschworkshop "Maschinelles Lernen VII"
Event Location:Köln
Event Type:Workshop
Event Start Date:11 October 2021
Event End Date:13 October 2021
Organizer:DLR
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Space System Technology
DLR - Research area:Raumfahrt
DLR - Program:R SY - Space System Technology
DLR - Research theme (Project):R - Tasks SISTEC
Location: Köln-Porz
Institutes and Institutions:Institute of Software Technology > Intelligent and Distributed Systems
Institute of Software Technology
Deposited By: Hecking, Dr. Tobias
Deposited On:14 Dec 2021 14:24
Last Modified:24 Apr 2024 20:45

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