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|Booktitle=Artificial Intelligence in Medicine | |Booktitle=Artificial Intelligence in Medicine | ||
|Editor=Niels | |Editor=Niels Peek and Roque Marín Morales and Mor Peleg | ||
|Note= | |Note= | ||
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|Pages=73 | |Pages=73-77 | ||
|Publisher=Springer | |Publisher=Springer | ||
|Series=Lecture Notes in Computer Science | |Series=Lecture Notes in Computer Science | ||
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{{Publikation Details | {{Publikation Details | ||
|Abstract=Snomed CT is a widely used medical ontology which is formally expressed in a fragment of the Description Logic EL++. The underlying logics allow for expressive querying, yet make it costly to maintain and extend the ontology. In this paper we present an approach for the extraction of Snomed CT definitions from natural language text. We test and evaluate the approach using two types of texts. | |Abstract=Snomed CT is a widely used medical ontology which is formally expressed in a fragment of the Description Logic EL++. The underlying logics allow for expressive querying, yet make it costly to maintain and extend the ontology. In this paper we present an approach for the extraction of Snomed CT definitions from natural language text. We test and evaluate the approach using two types of texts. | ||
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year = {2013}, | year = {2013}, | ||
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Aktuelle Version vom 25. März 2015, 16:34 Uhr
Learning Formal Definitions for Snomed CT from Text
Yue MaYue Ma, Felix DistelFelix Distel
Yue Ma, Felix Distel
Learning Formal Definitions for Snomed CT from Text
In Niels Peek and Roque Marín Morales and Mor Peleg, eds., Artificial Intelligence in Medicine, volume 7885 of Lecture Notes in Computer Science, 73-77, 2013. Springer
Learning Formal Definitions for Snomed CT from Text
In Niels Peek and Roque Marín Morales and Mor Peleg, eds., Artificial Intelligence in Medicine, volume 7885 of Lecture Notes in Computer Science, 73-77, 2013. Springer
- KurzfassungAbstract
Snomed CT is a widely used medical ontology which is formally expressed in a fragment of the Description Logic EL++. The underlying logics allow for expressive querying, yet make it costly to maintain and extend the ontology. In this paper we present an approach for the extraction of Snomed CT definitions from natural language text. We test and evaluate the approach using two types of texts. - Forschungsgruppe:Research Group: AutomatentheorieAutomata Theory
@inproceedings{ MaDi-AIME13,
author = {Yue {Ma} and Felix {Distel}},
booktitle = {Artificial Intelligence in Medicine},
editor = {Niels {Peek} and Roque {Mar{\'i}n Morales} and Mor {Peleg}},
pages = {73--77},
publisher = {Springer-Verlag},
series = {Lecture Notes in Computer Science},
title = {Learning Formal Definitions for Snomed CT from Text},
volume = {7885},
year = {2013},
}
