---
_id: '6184'
author:
- first_name: Andreas
full_name: Uphaus, Andreas
id: '213333'
last_name: Uphaus
- first_name: Tim
full_name: Kampe, Tim
id: '222105'
last_name: Kampe
orcid: 0000-0003-1217-1360
orcid_put_code_url: https://api.orcid.org/v2.0/0000-0003-1217-1360/work/191792579
citation:
alphadin: 'Uphaus, Andreas ; Kampe, Tim: Künstliche Intelligenz im
Finanz- und Rechnungswesen von KMU und Familienunternehmen – Anwendungsfälle,
Chancen und Risiken. In: Behringer, S.
(Hrsg.): CARF Luzern 2025: Controlling. Accounting. Risiko. Finanzen.,
Schriften aus dem Institut für Finanzdienstleistungen Zug IFZ. Rotkreuz :
Verlag IFZ - Hochschule Luzern, 2025, S. 180–195'
ama: 'Uphaus A, Kampe T. Künstliche Intelligenz im Finanz- und Rechnungswesen von
KMU und Familienunternehmen – Anwendungsfälle, Chancen und Risiken. In: Behringer
S, ed. CARF Luzern 2025: Controlling. Accounting. Risiko. Finanzen. Schriften
aus dem Institut für Finanzdienstleistungen Zug IFZ. Rotkreuz: Verlag IFZ - Hochschule
Luzern; 2025:180-195.'
apa: 'Uphaus, A., & Kampe, T. (2025). Künstliche Intelligenz im Finanz- und
Rechnungswesen von KMU und Familienunternehmen – Anwendungsfälle, Chancen und
Risiken. In S. Behringer (Ed.), CARF Luzern 2025: Controlling. Accounting.
Risiko. Finanzen. (pp. 180–195). Rotkreuz: Verlag IFZ - Hochschule Luzern.'
bibtex: '@inproceedings{Uphaus_Kampe_2025, place={Rotkreuz}, series={Schriften aus
dem Institut für Finanzdienstleistungen Zug IFZ}, title={Künstliche Intelligenz
im Finanz- und Rechnungswesen von KMU und Familienunternehmen – Anwendungsfälle,
Chancen und Risiken}, booktitle={CARF Luzern 2025: Controlling. Accounting. Risiko.
Finanzen.}, publisher={Verlag IFZ - Hochschule Luzern}, author={Uphaus, Andreas
and Kampe, Tim}, editor={Behringer, StefanEditor}, year={2025}, pages={180–195},
collection={Schriften aus dem Institut für Finanzdienstleistungen Zug IFZ} }'
chicago: 'Uphaus, Andreas, and Tim Kampe. “Künstliche Intelligenz im Finanz- und
Rechnungswesen von KMU und Familienunternehmen – Anwendungsfälle, Chancen und
Risiken.” In CARF Luzern 2025: Controlling. Accounting. Risiko. Finanzen.,
edited by Stefan Behringer, 180–95. Schriften aus dem Institut für Finanzdienstleistungen
Zug IFZ. Rotkreuz: Verlag IFZ - Hochschule Luzern, 2025.'
ieee: 'A. Uphaus and T. Kampe, “Künstliche Intelligenz im Finanz- und Rechnungswesen
von KMU und Familienunternehmen – Anwendungsfälle, Chancen und Risiken,” in CARF
Luzern 2025: Controlling. Accounting. Risiko. Finanzen., Luzern, 2025, pp.
180–195.'
mla: 'Uphaus, Andreas, and Tim Kampe. “Künstliche Intelligenz im Finanz- und Rechnungswesen
von KMU und Familienunternehmen – Anwendungsfälle, Chancen und Risiken.” CARF
Luzern 2025: Controlling. Accounting. Risiko. Finanzen., edited by Stefan
Behringer, Verlag IFZ - Hochschule Luzern, 2025, pp. 180–95.'
short: 'A. Uphaus, T. Kampe, in: S. Behringer (Ed.), CARF Luzern 2025: Controlling.
Accounting. Risiko. Finanzen., Verlag IFZ - Hochschule Luzern, Rotkreuz, 2025,
pp. 180–195.'
conference:
end_date: 2025-09-12
location: Luzern
name: CARF Luzern 2025 - Controlling. Accounting. Risiko. Finanzen.
start_date: 2025-09-11
date_created: 2025-09-13T13:31:07Z
date_updated: 2026-03-17T15:29:27Z
editor:
- first_name: Stefan
full_name: Behringer, Stefan
last_name: Behringer
keyword:
- Künstliche Intelligenz
- Large language models
- Use Cases
language:
- iso: ger
main_file_link:
- open_access: '1'
url: https://www.hslu.ch/-/media/campus/common/files/dokumente/w/ifz/seminare-konferenzen/carf/konferenzband-carf-2025.pdf?sc_lang=de-ch
oa: '1'
page: 180-195
place: Rotkreuz
publication: 'CARF Luzern 2025: Controlling. Accounting. Risiko. Finanzen.'
publication_identifier:
isbn:
- 978-3-907379-60-8
publication_status: published
publisher: Verlag IFZ - Hochschule Luzern
quality_controlled: '1'
series_title: Schriften aus dem Institut für Finanzdienstleistungen Zug IFZ
status: public
title: Künstliche Intelligenz im Finanz- und Rechnungswesen von KMU und Familienunternehmen
– Anwendungsfälle, Chancen und Risiken
type: conference
user_id: '222105'
year: '2025'
...
---
_id: '6209'
author:
- first_name: André
full_name: Matutat, André
id: '228871'
last_name: Matutat
orcid: 0009-0001-9362-7704
orcid_put_code_url: https://api.orcid.org/v2.0/0009-0001-9362-7704/work/193402749
- first_name: Lena
full_name: Golin, Lena
id: '224966'
last_name: Golin
orcid: 0009-0002-2963-8430
orcid_put_code_url: https://api.orcid.org/v2.0/0009-0002-2963-8430/work/193402751
- first_name: Hans
full_name: Brandt-Pook, Hans
id: '206531'
last_name: Brandt-Pook
orcid: 0009-0002-6668-2684
orcid_put_code_url: https://api.orcid.org/v2.0/0009-0002-6668-2684/work/193402752
citation:
alphadin: 'Matutat, André ; Golin, Lena ; Brandt-Pook,
Hans: LLM gesteuerte Planung zur Reduktion des CO2-Fußabdrucks im Tiefbau.
In: Gesellschaft für Informatik e.V.
(Hrsg.): INFORMATIK 2025. Bonn, 2025, S. 1345–1350'
ama: 'Matutat A, Golin L, Brandt-Pook H. LLM gesteuerte Planung zur Reduktion des
CO2-Fußabdrucks im Tiefbau. In: Gesellschaft für Informatik e.V., ed. INFORMATIK
2025. Bonn; 2025:1345-1350. doi:10.18420/inf2025_119'
apa: Matutat, A., Golin, L., & Brandt-Pook, H. (2025). LLM gesteuerte Planung
zur Reduktion des CO2-Fußabdrucks im Tiefbau. In Gesellschaft für Informatik e.V.
(Ed.), INFORMATIK 2025 (pp. 1345–1350). Bonn. https://doi.org/10.18420/inf2025_119
bibtex: '@inproceedings{Matutat_Golin_Brandt-Pook_2025, place={Bonn}, title={LLM
gesteuerte Planung zur Reduktion des CO2-Fußabdrucks im Tiefbau}, DOI={10.18420/inf2025_119},
number={366}, booktitle={INFORMATIK 2025}, author={Matutat, André and Golin, Lena
and Brandt-Pook, Hans}, editor={Gesellschaft für Informatik e.V.Editor}, year={2025},
pages={1345–1350} }'
chicago: Matutat, André, Lena Golin, and Hans Brandt-Pook. “LLM gesteuerte Planung
zur Reduktion des CO2-Fußabdrucks im Tiefbau.” In INFORMATIK 2025, edited
by Gesellschaft für Informatik e.V., 1345–50. Bonn, 2025. https://doi.org/10.18420/inf2025_119.
ieee: A. Matutat, L. Golin, and H. Brandt-Pook, “LLM gesteuerte Planung zur Reduktion
des CO2-Fußabdrucks im Tiefbau,” in INFORMATIK 2025, Potsdam , 2025, no.
366, pp. 1345–1350.
mla: Matutat, André, et al. “LLM gesteuerte Planung zur Reduktion des CO2-Fußabdrucks
im Tiefbau.” INFORMATIK 2025, edited by Gesellschaft für Informatik e.V.,
no. 366, 2025, pp. 1345–50, doi:10.18420/inf2025_119.
short: 'A. Matutat, L. Golin, H. Brandt-Pook, in: Gesellschaft für Informatik e.V.
(Ed.), INFORMATIK 2025, Bonn, 2025, pp. 1345–1350.'
conference:
end_date: 2025.09.19
location: 'Potsdam '
name: 'INFORMATIK FESTIVAL 2025. '
start_date: 2025.09.16
corporate_editor:
- Gesellschaft für Informatik e.V.
date_created: 2025-10-02T11:53:15Z
date_updated: 2026-03-17T15:29:27Z
department:
- _id: 4b2dc5c9-bee3-11eb-b75f-ecc80f94fb21
doi: 10.18420/inf2025_119
file:
- access_level: open_access
content_type: application/pdf
creator: amatutat
date_created: 2025-10-02T11:52:49Z
date_updated: 2025-10-02T11:52:49Z
file_id: '6210'
file_name: LLM gesteuerte Planung zur Reduktion des CO2-Fußabdrucks im Tiefbau.pdf
file_size: 128666
relation: main_file
success: 1
file_date_updated: 2025-10-02T11:52:49Z
has_accepted_license: '1'
issue: '366'
keyword:
- Large Language Models
- Retrieval-Augmented Generation
- CO2-Bilanzierung
- Tiefbau
- Nachhaltigkeit
- Assistenzsysteme
- Wissensmanagement
- Tool-Integration
language:
- iso: ger
main_file_link:
- open_access: '1'
oa: '1'
page: 1345-1350
place: Bonn
project:
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name: Institute for Data Science Solutions
publication: INFORMATIK 2025
publication_identifier:
issn:
- 2944-7682
publication_status: epub_ahead
quality_controlled: '1'
status: public
title: LLM gesteuerte Planung zur Reduktion des CO2-Fußabdrucks im Tiefbau
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type: conference
urn: urn:nbn:de:hbz:bi10-62097
user_id: '263827'
year: '2025'
...
---
_id: '6244'
article_number: '261'
article_type: original
author:
- first_name: Marvin
full_name: Niederhaus, Marvin
id: '232004'
last_name: Niederhaus
orcid: 0009-0008-8581-2708
orcid_put_code_url: https://api.orcid.org/v2.0/0009-0008-8581-2708/work/194508828
- first_name: Nico
full_name: Migenda, Nico
id: '218473'
last_name: Migenda
orcid: 0000-0002-7223-1735
orcid_put_code_url: https://api.orcid.org/v2.0/0000-0002-7223-1735/work/194483982
- first_name: Julian
full_name: Weller, Julian
last_name: Weller
- first_name: Martin
full_name: Kohlhase, Martin
id: '226669'
last_name: Kohlhase
orcid: 0009-0002-9374-0720
orcid_put_code_url: https://api.orcid.org/v2.0/0009-0002-9374-0720/work/194483983
- first_name: Wolfram
full_name: Schenck, Wolfram
id: '224375'
last_name: Schenck
orcid: 0000-0003-3300-2048
orcid_put_code_url: https://api.orcid.org/v2.0/0000-0003-3300-2048/work/194483984
citation:
alphadin: 'Niederhaus, Marvin ; Migenda, Nico ; Weller,
Julian ; Kohlhase, Martin
; Schenck, Wolfram: Integrating
Graph Retrieval-Augmented Generation into Prescriptive Recommender Systems. In:
Big Data and Cognitive Computing Bd. 9, MDPI AG (2025), Nr. 10'
ama: Niederhaus M, Migenda N, Weller J, Kohlhase M, Schenck W. Integrating Graph
Retrieval-Augmented Generation into Prescriptive Recommender Systems. Big Data
and Cognitive Computing. 2025;9(10). doi:10.3390/bdcc9100261
apa: Niederhaus, M., Migenda, N., Weller, J., Kohlhase, M., & Schenck, W. (2025).
Integrating Graph Retrieval-Augmented Generation into Prescriptive Recommender
Systems. Big Data and Cognitive Computing, 9(10). https://doi.org/10.3390/bdcc9100261
bibtex: '@article{Niederhaus_Migenda_Weller_Kohlhase_Schenck_2025, title={Integrating
Graph Retrieval-Augmented Generation into Prescriptive Recommender Systems}, volume={9},
DOI={10.3390/bdcc9100261}, number={10261},
journal={Big Data and Cognitive Computing}, publisher={MDPI AG}, author={Niederhaus,
Marvin and Migenda, Nico and Weller, Julian and Kohlhase, Martin and Schenck,
Wolfram}, year={2025} }'
chicago: Niederhaus, Marvin, Nico Migenda, Julian Weller, Martin Kohlhase, and Wolfram
Schenck. “Integrating Graph Retrieval-Augmented Generation into Prescriptive Recommender
Systems.” Big Data and Cognitive Computing 9, no. 10 (2025). https://doi.org/10.3390/bdcc9100261.
ieee: M. Niederhaus, N. Migenda, J. Weller, M. Kohlhase, and W. Schenck, “Integrating
Graph Retrieval-Augmented Generation into Prescriptive Recommender Systems,” Big
Data and Cognitive Computing, vol. 9, no. 10, 2025.
mla: Niederhaus, Marvin, et al. “Integrating Graph Retrieval-Augmented Generation
into Prescriptive Recommender Systems.” Big Data and Cognitive Computing,
vol. 9, no. 10, 261, MDPI AG, 2025, doi:10.3390/bdcc9100261.
short: M. Niederhaus, N. Migenda, J. Weller, M. Kohlhase, W. Schenck, Big Data and
Cognitive Computing 9 (2025).
date_created: 2025-10-17T07:19:59Z
date_updated: 2026-03-17T15:29:27Z
department:
- _id: '103'
doi: 10.3390/bdcc9100261
file:
- access_level: open_access
content_type: application/pdf
creator: mniederhaus
date_created: 2025-10-17T07:11:25Z
date_updated: 2025-10-17T07:11:25Z
file_id: '6245'
file_name: BDCC-09-00261.pdf
file_size: 13995224
relation: main_file
success: 1
file_date_updated: 2025-10-17T07:11:25Z
funded_apc: '1'
has_accepted_license: '1'
intvolume: ' 9'
issue: '10'
keyword:
- prescriptive analytics
- prescriptive platforms
- advanced data analytics
- retrieval-augmented generation
- graph-based retrieval-augmented generation
- large language models
- generative AI
- genAI
- recommender system
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.mdpi.com/2504-2289/9/10/261/pdf
oa: '1'
project:
- _id: beb248c8-cd75-11ed-b77c-e432b4711f7b
name: Institut für Systemdynamik und Mechatronik
publication: Big Data and Cognitive Computing
publication_identifier:
eissn:
- 2504-2289
publication_status: published
publisher: MDPI AG
quality_controlled: '1'
status: public
title: Integrating Graph Retrieval-Augmented Generation into Prescriptive Recommender
Systems
type: journal_article
urn: urn:nbn:de:hbz:bi10-62444
user_id: '224375'
volume: 9
year: '2025'
...
---
_id: '6793'
alternative_id:
- '5101'
author:
- first_name: Evin
full_name: Aslan Oguz, Evin
id: '257089'
last_name: Aslan Oguz
- first_name: Jochen
full_name: Küster, Jochen
id: '217892'
last_name: Küster
citation:
alphadin: 'Aslan Oguz, Evin ; Küster, Jochen: A Comparative Analysis
of ChatGPT-Generated and Human-Written Use Case Descriptions. In: Association
for Computing Machinery (Hrsg.): Proceedings of the ACM/IEEE 27th International
Conference on Model Driven Engineering Languages and Systems. New York, NY,
USA : ACM, 2024, S. 533–540'
ama: 'Aslan Oguz E, Küster J. A Comparative Analysis of ChatGPT-Generated and Human-Written
Use Case Descriptions. In: Association for Computing Machinery, ed. Proceedings
of the ACM/IEEE 27th International Conference on Model Driven Engineering Languages
and Systems. New York, NY, USA: ACM; 2024:533-540. doi:10.1145/3652620.3687800'
apa: 'Aslan Oguz, E., & Küster, J. (2024). A Comparative Analysis of ChatGPT-Generated
and Human-Written Use Case Descriptions. In Association for Computing Machinery
(Ed.), Proceedings of the ACM/IEEE 27th International Conference on Model Driven
Engineering Languages and Systems (pp. 533–540). New York, NY, USA: ACM. https://doi.org/10.1145/3652620.3687800'
bibtex: '@inproceedings{Aslan Oguz_Küster_2024, place={New York, NY, USA}, title={A
Comparative Analysis of ChatGPT-Generated and Human-Written Use Case Descriptions},
DOI={10.1145/3652620.3687800},
booktitle={Proceedings of the ACM/IEEE 27th International Conference on Model
Driven Engineering Languages and Systems}, publisher={ACM}, author={Aslan Oguz,
Evin and Küster, Jochen}, editor={Association for Computing MachineryEditor},
year={2024}, pages={533–540} }'
chicago: 'Aslan Oguz, Evin, and Jochen Küster. “A Comparative Analysis of ChatGPT-Generated
and Human-Written Use Case Descriptions.” In Proceedings of the ACM/IEEE 27th
International Conference on Model Driven Engineering Languages and Systems,
edited by Association for Computing Machinery, 533–40. New York, NY, USA: ACM,
2024. https://doi.org/10.1145/3652620.3687800.'
ieee: E. Aslan Oguz and J. Küster, “A Comparative Analysis of ChatGPT-Generated
and Human-Written Use Case Descriptions,” in Proceedings of the ACM/IEEE 27th
International Conference on Model Driven Engineering Languages and Systems,
Linz Austria, 2024, pp. 533–540.
mla: Aslan Oguz, Evin, and Jochen Küster. “A Comparative Analysis of ChatGPT-Generated
and Human-Written Use Case Descriptions.” Proceedings of the ACM/IEEE 27th
International Conference on Model Driven Engineering Languages and Systems,
edited by Association for Computing Machinery, ACM, 2024, pp. 533–40, doi:10.1145/3652620.3687800.
short: 'E. Aslan Oguz, J. Küster, in: Association for Computing Machinery (Ed.),
Proceedings of the ACM/IEEE 27th International Conference on Model Driven Engineering
Languages and Systems, ACM, New York, NY, USA, 2024, pp. 533–540.'
conference:
end_date: 2024-09-27
location: Linz Austria
name: 'MODELS Companion ''24: ACM/IEEE 27th International Conference on Model Driven
Engineering Languages and Systems'
start_date: 2024-09-22
corporate_editor:
- Association for Computing Machinery
date_created: 2026-03-09T11:57:10Z
date_updated: 2026-03-17T15:29:34Z
doi: 10.1145/3652620.3687800
file:
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content_type: application/pdf
creator: easlanoguz
date_created: 2026-03-09T11:55:51Z
date_updated: 2026-03-09T11:55:51Z
file_id: '6794'
file_name: A Comparative Analysis of ChatGPT-Generated and Human-Written Use Case
Descriptions.pdf
file_size: 687335
relation: main_file
success: 1
file_date_updated: 2026-03-09T11:55:51Z
has_accepted_license: '1'
keyword:
- Software and its engineering → Object oriented develop- ment
- Requirements analysis
- • Computing methodologies → Natural language processing.
language:
- iso: eng
main_file_link:
- open_access: '1'
oa: '1'
page: 533-540
place: New York, NY, USA
project:
- _id: f432a2ee-bceb-11ed-a251-a83585c5074d
name: Institute for Data Science Solutions
publication: Proceedings of the ACM/IEEE 27th International Conference on Model Driven
Engineering Languages and Systems
publication_identifier:
isbn:
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publication_status: published
publisher: ACM
quality_controlled: '1'
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title: A Comparative Analysis of ChatGPT-Generated and Human-Written Use Case Descriptions
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short: CC BY-NC-SA (4.0)
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...
---
_id: '1765'
author:
- first_name: Frederik
full_name: Bäumer, Frederik
id: '241734'
last_name: Bäumer
orcid: 0000-0002-0826-0144
orcid_put_code_url: https://api.orcid.org/v2.0/0000-0002-0826-0144/work/173695601
- first_name: Michaela
full_name: Geierhos, Michaela
last_name: Geierhos
citation:
alphadin: 'Bäumer, Frederik ; Geierhos, Michaela: Flexible Ambiguity
Resolution and Incompleteness Detection in Requirements Descriptions via an Indicator-based
Configuration of Text Analysis Pipelines. In: Proceedings of the 51st Hawaii
International Conference on System Sciences , 2018, S. 5746–5755'
ama: 'Bäumer F, Geierhos M. Flexible Ambiguity Resolution and Incompleteness Detection
in Requirements Descriptions via an Indicator-based Configuration of Text Analysis
Pipelines. In: Proceedings of the 51st Hawaii International Conference on System
Sciences . ; 2018:5746-5755.'
apa: Bäumer, F., & Geierhos, M. (2018). Flexible Ambiguity Resolution and Incompleteness
Detection in Requirements Descriptions via an Indicator-based Configuration of
Text Analysis Pipelines. In Proceedings of the 51st Hawaii International Conference
on System Sciences (pp. 5746–5755). Hawaii.
bibtex: '@inproceedings{Bäumer_Geierhos_2018, title={Flexible Ambiguity Resolution
and Incompleteness Detection in Requirements Descriptions via an Indicator-based
Configuration of Text Analysis Pipelines}, booktitle={Proceedings of the 51st
Hawaii International Conference on System Sciences }, author={Bäumer, Frederik
and Geierhos, Michaela}, year={2018}, pages={5746–5755} }'
chicago: Bäumer, Frederik, and Michaela Geierhos. “Flexible Ambiguity Resolution
and Incompleteness Detection in Requirements Descriptions via an Indicator-Based
Configuration of Text Analysis Pipelines.” In Proceedings of the 51st Hawaii
International Conference on System Sciences , 5746–55, 2018.
ieee: F. Bäumer and M. Geierhos, “Flexible Ambiguity Resolution and Incompleteness
Detection in Requirements Descriptions via an Indicator-based Configuration of
Text Analysis Pipelines,” in Proceedings of the 51st Hawaii International Conference
on System Sciences , Hawaii, 2018, pp. 5746–5755.
mla: Bäumer, Frederik, and Michaela Geierhos. “Flexible Ambiguity Resolution and
Incompleteness Detection in Requirements Descriptions via an Indicator-Based Configuration
of Text Analysis Pipelines.” Proceedings of the 51st Hawaii International Conference
on System Sciences , 2018, pp. 5746–55.
short: 'F. Bäumer, M. Geierhos, in: Proceedings of the 51st Hawaii International
Conference on System Sciences , 2018, pp. 5746–5755.'
conference:
end_date: 2018-01-06
location: Hawaii
name: ' Hawaii International Conference on System Sciences (51., 2018, Big Island,
Waikoloa Village, HI) '
start_date: 2018-01-03
date_created: 2022-03-31T08:17:54Z
date_updated: 2026-03-17T15:28:24Z
department:
- _id: 4b2dc5c9-bee3-11eb-b75f-ecc80f94fb21
extern: '1'
keyword:
- 'Software Product Lines: Engineering'
- Services
- and Management
- Ambiguities
- Incompleteness
- Natural Language Processing
- Software Requirements
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.semanticscholar.org/paper/Flexible-Ambiguity-Resolution-and-Incompleteness-in-B%C3%A4umer-Geierhos/1924ae6773f09efcfc791454d42a3ec53207a815
oa: '1'
page: 5746-5755
publication: 'Proceedings of the 51st Hawaii International Conference on System Sciences '
publication_identifier:
issn:
- 978-0-9981331-1-9
publication_status: published
quality_controlled: '1'
status: public
title: Flexible Ambiguity Resolution and Incompleteness Detection in Requirements
Descriptions via an Indicator-based Configuration of Text Analysis Pipelines
type: conference
user_id: '35437'
year: '2018'
...
---
_id: '1783'
author:
- first_name: Michaela
full_name: Geierhos, Michaela
last_name: Geierhos
- first_name: Sabine
full_name: Schulze, Sabine
last_name: Schulze
- first_name: Frederik
full_name: Bäumer, Frederik
id: '241734'
last_name: Bäumer
orcid: 0000-0002-0826-0144
orcid_put_code_url: https://api.orcid.org/v2.0/0000-0002-0826-0144/work/176362165
citation:
alphadin: 'Geierhos, Michaela ; Schulze, Sabine ; Bäumer,
Frederik: What Did You Mean? - Facing the Challenges of User-generated
Software Requirements. In: Proceedings of the International Conference on Agents
and Artificial Intelligence : SCITEPRESS - Science and and Technology Publications,
2015, S. 277–283'
ama: 'Geierhos M, Schulze S, Bäumer F. What Did You Mean? - Facing the Challenges
of User-generated Software Requirements. In: Proceedings of the International
Conference on Agents and Artificial Intelligence. SCITEPRESS - Science and
and Technology Publications; 2015:277-283. doi:10.5220/0005346002770283'
apa: 'Geierhos, M., Schulze, S., & Bäumer, F. (2015). What Did You Mean? - Facing
the Challenges of User-generated Software Requirements. In Proceedings of the
International Conference on Agents and Artificial Intelligence (pp. 277–283).
Lisbon, Portugal: SCITEPRESS - Science and and Technology Publications. https://doi.org/10.5220/0005346002770283'
bibtex: '@inproceedings{Geierhos_Schulze_Bäumer_2015, title={What Did You Mean?
- Facing the Challenges of User-generated Software Requirements}, DOI={10.5220/0005346002770283},
booktitle={Proceedings of the International Conference on Agents and Artificial
Intelligence}, publisher={SCITEPRESS - Science and and Technology Publications},
author={Geierhos, Michaela and Schulze, Sabine and Bäumer, Frederik}, year={2015},
pages={277–283} }'
chicago: Geierhos, Michaela, Sabine Schulze, and Frederik Bäumer. “What Did You
Mean? - Facing the Challenges of User-Generated Software Requirements.” In Proceedings
of the International Conference on Agents and Artificial Intelligence, 277–83.
SCITEPRESS - Science and and Technology Publications, 2015. https://doi.org/10.5220/0005346002770283.
ieee: M. Geierhos, S. Schulze, and F. Bäumer, “What Did You Mean? - Facing the Challenges
of User-generated Software Requirements,” in Proceedings of the International
Conference on Agents and Artificial Intelligence, Lisbon, Portugal, 2015,
pp. 277–283.
mla: Geierhos, Michaela, et al. “What Did You Mean? - Facing the Challenges of User-Generated
Software Requirements.” Proceedings of the International Conference on Agents
and Artificial Intelligence, SCITEPRESS - Science and and Technology Publications,
2015, pp. 277–83, doi:10.5220/0005346002770283.
short: 'M. Geierhos, S. Schulze, F. Bäumer, in: Proceedings of the International
Conference on Agents and Artificial Intelligence, SCITEPRESS - Science and and
Technology Publications, 2015, pp. 277–283.'
conference:
end_date: 2015-01-12
location: Lisbon, Portugal
name: Special Session on Partiality, Underspecification, and Natural Language Processing
start_date: 2015-01-10
date_created: 2022-03-31T08:40:41Z
date_updated: 2026-03-17T15:28:25Z
department:
- _id: 4b2dc5c9-bee3-11eb-b75f-ecc80f94fb21
doi: 10.5220/0005346002770283
extern: '1'
keyword:
- User-generated Natural Language Requirements
- Interactive Requirement Disambiguation and Completion
language:
- iso: eng
page: 277-283
publication: Proceedings of the International Conference on Agents and Artificial
Intelligence
publication_identifier:
isbn:
- 978-989-758-073-4
publication_status: published
publisher: SCITEPRESS - Science and and Technology Publications
status: public
title: What Did You Mean? - Facing the Challenges of User-generated Software Requirements
type: conference
user_id: '35437'
year: '2015'
...
---
_id: '453'
author:
- first_name: Gerrit
full_name: Hirschfeld, Gerrit
id: '234690'
last_name: Hirschfeld
orcid: 0000-0003-2143-4564
orcid_put_code_url: https://api.orcid.org/v2.0/0000-0003-2143-4564/work/178776970
- first_name: P.
full_name: Zwitserlood, P.
last_name: Zwitserlood
- first_name: C.
full_name: Dobel, C.
last_name: Dobel
citation:
alphadin: 'Hirschfeld, Gerrit ; Zwitserlood, P. ; Dobel,
C.: Effects of language comprehension on visual processing - MEG dissociates
early perceptual and late N400 effects. In: Brain and Language Bd. 116,
Elsevier (2011), Nr. 2, S. 91–96'
ama: Hirschfeld G, Zwitserlood P, Dobel C. Effects of language comprehension on
visual processing - MEG dissociates early perceptual and late N400 effects. Brain
and Language. 2011;116(2):91-96. doi:10.1016/j.bandl.2010.07.002
apa: Hirschfeld, G., Zwitserlood, P., & Dobel, C. (2011). Effects of language
comprehension on visual processing - MEG dissociates early perceptual and late
N400 effects. Brain and Language, 116(2), 91–96. https://doi.org/10.1016/j.bandl.2010.07.002
bibtex: '@article{Hirschfeld_Zwitserlood_Dobel_2011, title={Effects of language
comprehension on visual processing - MEG dissociates early perceptual and late
N400 effects}, volume={116}, DOI={10.1016/j.bandl.2010.07.002},
number={2}, journal={Brain and Language}, publisher={Elsevier}, author={Hirschfeld,
Gerrit and Zwitserlood, P. and Dobel, C.}, year={2011}, pages={91–96} }'
chicago: 'Hirschfeld, Gerrit, P. Zwitserlood, and C. Dobel. “Effects of Language
Comprehension on Visual Processing - MEG Dissociates Early Perceptual and Late
N400 Effects.” Brain and Language 116, no. 2 (2011): 91–96. https://doi.org/10.1016/j.bandl.2010.07.002.'
ieee: G. Hirschfeld, P. Zwitserlood, and C. Dobel, “Effects of language comprehension
on visual processing - MEG dissociates early perceptual and late N400 effects,”
Brain and Language, vol. 116, no. 2, pp. 91–96, 2011.
mla: Hirschfeld, Gerrit, et al. “Effects of Language Comprehension on Visual Processing
- MEG Dissociates Early Perceptual and Late N400 Effects.” Brain and Language,
vol. 116, no. 2, Elsevier, 2011, pp. 91–96, doi:10.1016/j.bandl.2010.07.002.
short: G. Hirschfeld, P. Zwitserlood, C. Dobel, Brain and Language 116 (2011) 91–96.
date_created: 2019-05-28T12:24:23Z
date_updated: 2026-03-17T15:29:02Z
doi: 10.1016/j.bandl.2010.07.002
intvolume: ' 116'
issue: '2'
keyword:
- Adult
- Brain
- Brain Mapping
- Comprehension
- Female
- Humans
- Language
- Male
- Speech Perception
- Visual Perception
- Young Adult
language:
- iso: eng
page: 91-96
publication: Brain and Language
publication_identifier:
eissn:
- 1090-2155
issn:
- 0093-934X
publisher: Elsevier
status: public
title: Effects of language comprehension on visual processing - MEG dissociates early
perceptual and late N400 effects
type: journal_article
user_id: '35437'
volume: 116
year: '2011'
...