An Integrated Ontology-Based Approach for Patent Classification in Medical Engineering

Sandra Geisler; Christoph Quix; Rihan Hai; Sanchit Alekh

doi:10.1007/978-3-319-69751-2_5

An Integrated Ontology-Based Approach for Patent Classification in Medical Engineering

Sandra Geisler, Christoph Quix, Rihan Hai, Sanchit Alekh

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

Abstract

Medical engineering (ME) is an interdisciplinary domain with short innovation cycles. Usually, researchers from several fields cooperate in ME research projects. To support the identification of suitable partners for a project, we present an integrated approach for patent classification combining ideas from topic modeling, ontology modeling & matching, bibliometric analysis, and data integration. First evaluation results show that the use of semantic technologies in patent classification can indeed increase the quality of the results.

Original language	English
Title of host publication	International Conference on Data Integration in the Life Sciences
Pages	38-52
Number of pages	15
DOIs	https://doi.org/10.1007/978-3-319-69751-2_5
Publication status	Published - 2017
Externally published	Yes

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10.1007/978-3-319-69751-2_5

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title = "An Integrated Ontology-Based Approach for Patent Classification in Medical Engineering",

abstract = "Medical engineering (ME) is an interdisciplinary domain with short innovation cycles. Usually, researchers from several fields cooperate in ME research projects. To support the identification of suitable partners for a project, we present an integrated approach for patent classification combining ideas from topic modeling, ontology modeling & matching, bibliometric analysis, and data integration. First evaluation results show that the use of semantic technologies in patent classification can indeed increase the quality of the results.",

author = "Sandra Geisler and Christoph Quix and Rihan Hai and Sanchit Alekh",

year = "2017",

doi = "10.1007/978-3-319-69751-2_5",

language = "English",

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AU - Geisler, Sandra

AU - Quix, Christoph

AU - Hai, Rihan

AU - Alekh, Sanchit

PY - 2017

Y1 - 2017

N2 - Medical engineering (ME) is an interdisciplinary domain with short innovation cycles. Usually, researchers from several fields cooperate in ME research projects. To support the identification of suitable partners for a project, we present an integrated approach for patent classification combining ideas from topic modeling, ontology modeling & matching, bibliometric analysis, and data integration. First evaluation results show that the use of semantic technologies in patent classification can indeed increase the quality of the results.

AB - Medical engineering (ME) is an interdisciplinary domain with short innovation cycles. Usually, researchers from several fields cooperate in ME research projects. To support the identification of suitable partners for a project, we present an integrated approach for patent classification combining ideas from topic modeling, ontology modeling & matching, bibliometric analysis, and data integration. First evaluation results show that the use of semantic technologies in patent classification can indeed increase the quality of the results.

U2 - 10.1007/978-3-319-69751-2_5

DO - 10.1007/978-3-319-69751-2_5

M3 - Conference contribution

SP - 38

EP - 52

BT - International Conference on Data Integration in the Life Sciences

ER -

An Integrated Ontology-Based Approach for Patent Classification in Medical Engineering

Abstract

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