---
_id: '12993'
abstract:
- lang: eng
text: In computer science and related technical fields, researchers, educators,
and practitioners are continuously automating recurring tasks for high efficiency
in a wide variety of fields. In higher education, such tasks that educators face
are the recurring review and assessment process of students' programming coursework.
Thus, various attempts exist to automate the assessment and feedback generation
for course homework and practicals in higher education. Those approaches for automated
programming task assessment often comprise running automated tests to check for
limited functional correctness and potentially style checking for various violations
(LINTing). Educators familiar with large-scale automated task assessment are likely
used to seeing hard-coded solutions specifically or accidentally designed to just
pass the required tests, ignoring or misinterpreting the actual task requirements.
Detecting such issues in arbitrary code is non-trivial and an ongoing research
topic in software engineering. Software engineering research has yielded various
semantic analysis frameworks, such as GitHub's CodeQL, which can be adapted for
programming task assessment. We present a work-in-progress programming task analysis
framework which employs CodeQL's analysis technology to identify the actual use
of task-description-mandated syntactic and semantic elements such as loop structures
or the use of mandated data blocks in branching conditions. This allows extending
existing course work analysis frameworks to include a semantic check of an uploaded
program which exceeds the relatively simple set of input-output test cases provided
by unit tests. We use a running example of entry level programming tasks and several
solution attempts to introduce and explain our proposed control flow and data
flow -based analysis method. We discuss the benefits of including semantic analysis
as an additional method in the automated programming task assessment toolbox.
Our main contribution is the adaptation of an semantic analysis code framework
to analyse syntactic and semantic components in students' programming coursework.
author:
- first_name: Leon
full_name: Wehmeier, Leon
id: '81257'
last_name: Wehmeier
- first_name: Sebastian
full_name: Eilermann, Sebastian
last_name: Eilermann
- first_name: Oliver
full_name: Niggemann, Oliver
id: '10876'
last_name: Niggemann
- first_name: Andreas
full_name: Deuter, Andreas
id: '62088'
last_name: Deuter
orcid: 0000-0002-6529-6215
citation:
ama: Wehmeier L, Eilermann S, Niggemann O, Deuter A. Task-Fidelity Assessment
for Programming Tasks Using Semantic Code Analysis. (IEEE ASEE Frontiers in
Education Conference, Institute of Electrical and Electronics Engineers, American
Society for Engineering Education, eds.). IEEE; 2024. doi:10.1109/fie58773.2023.10342916
apa: 'Wehmeier, L., Eilermann, S., Niggemann, O., & Deuter, A. (2024). Task-fidelity
Assessment for Programming Tasks Using Semantic Code Analysis. In IEEE ASEE Frontiers
in Education Conference, Institute of Electrical and Electronics Engineers, &
American Society for Engineering Education (Eds.), FIE 2023 : College Station,
TX, USA, October 18-21, 2023 : conference proceedings / 2023 IEEE Frontiers in
Education Conference (FIE). IEEE. https://doi.org/10.1109/fie58773.2023.10342916'
bjps: 'Wehmeier L et al. (2024) Task-Fidelity Assessment for Programming
Tasks Using Semantic Code Analysis, IEEE ASEE Frontiers in Education Conference,
Institute of Electrical and Electronics Engineers, and American Society for Engineering
Education (eds). [Piscataway, NJ]: IEEE.'
chicago: 'Wehmeier, Leon, Sebastian Eilermann, Oliver Niggemann, and Andreas Deuter.
Task-Fidelity Assessment for Programming Tasks Using Semantic Code Analysis.
Edited by IEEE ASEE Frontiers in Education Conference, Institute of Electrical
and Electronics Engineers, and American Society for Engineering Education. FIE
2023 : College Station, TX, USA, October 18-21, 2023 : Conference Proceedings
/ 2023 IEEE Frontiers in Education Conference (FIE). [Piscataway, NJ]: IEEE,
2024. https://doi.org/10.1109/fie58773.2023.10342916.'
chicago-de: 'Wehmeier, Leon, Sebastian Eilermann, Oliver Niggemann und Andreas Deuter.
2024. Task-fidelity Assessment for Programming Tasks Using Semantic Code Analysis.
Hg. von IEEE ASEE Frontiers in Education Conference, Institute of Electrical and
Electronics Engineers, und American Society for Engineering Education. FIE
2023 : College Station, TX, USA, October 18-21, 2023 : conference proceedings
/ 2023 IEEE Frontiers in Education Conference (FIE). [Piscataway, NJ]: IEEE.
doi:10.1109/fie58773.2023.10342916,
.'
din1505-2-1: 'Wehmeier, Leon ; Eilermann, Sebastian ; Niggemann,
Oliver ; Deuter, Andreas
; IEEE ASEE Frontiers in Education Conference
; Institute of Electrical and Electronics
Engineers ; American Society for
Engineering Education (Hrsg.): Task-fidelity Assessment for Programming
Tasks Using Semantic Code Analysis. [Piscataway, NJ] : IEEE, 2024'
havard: L. Wehmeier, S. Eilermann, O. Niggemann, A. Deuter, Task-fidelity Assessment
for Programming Tasks Using Semantic Code Analysis, IEEE, [Piscataway, NJ], 2024.
ieee: 'L. Wehmeier, S. Eilermann, O. Niggemann, and A. Deuter, Task-fidelity
Assessment for Programming Tasks Using Semantic Code Analysis. [Piscataway,
NJ]: IEEE, 2024. doi: 10.1109/fie58773.2023.10342916.'
mla: 'Wehmeier, Leon, et al. “Task-Fidelity Assessment for Programming Tasks Using
Semantic Code Analysis.” FIE 2023 : College Station, TX, USA, October 18-21,
2023 : Conference Proceedings / 2023 IEEE Frontiers in Education Conference (FIE),
edited by IEEE ASEE Frontiers in Education Conference et al., IEEE, 2024, https://doi.org/10.1109/fie58773.2023.10342916.'
short: L. Wehmeier, S. Eilermann, O. Niggemann, A. Deuter, Task-Fidelity Assessment
for Programming Tasks Using Semantic Code Analysis, IEEE, [Piscataway, NJ], 2024.
ufg: 'Wehmeier, Leon u. a.: Task-fidelity Assessment for Programming Tasks
Using Semantic Code Analysis, hg. von IEEE ASEE Frontiers in Education Conference/Institute
of Electrical and Electronics Engineers, American Society for Engineering Education,
[Piscataway, NJ] 2024.'
van: 'Wehmeier L, Eilermann S, Niggemann O, Deuter A. Task-fidelity Assessment for
Programming Tasks Using Semantic Code Analysis. IEEE ASEE Frontiers in Education
Conference, Institute of Electrical and Electronics Engineers, American Society
for Engineering Education, editors. FIE 2023 : College Station, TX, USA, October
18-21, 2023 : conference proceedings / 2023 IEEE Frontiers in Education Conference
(FIE). [Piscataway, NJ]: IEEE; 2024.'
conference:
end_date: 2023-10-21
location: Texas
name: 2023 IEEE Frontiers in Education Conference (FIE)
start_date: 2023-10-18
corporate_editor:
- IEEE ASEE Frontiers in Education Conference
- Institute of Electrical and Electronics Engineers
- American Society for Engineering Education
date_created: 2025-06-18T13:05:11Z
date_updated: 2025-06-18T13:23:56Z
department:
- _id: DEP7022
- _id: DEP1306
- _id: DEP7001
doi: 10.1109/fie58773.2023.10342916
keyword:
- Codes
- Electronic learning
- Soft sensors
- Semantics
- Education
- Syntactics
- Task analysis
language:
- iso: eng
place: '[Piscataway, NJ]'
publication: 'FIE 2023 : College Station, TX, USA, October 18-21, 2023 : conference
proceedings / 2023 IEEE Frontiers in Education Conference (FIE)'
publication_identifier:
eisbn:
- 979-8-3503-3642-9
isbn:
- 979-8-3503-3643-6
publication_status: published
publisher: IEEE
status: public
title: Task-fidelity Assessment for Programming Tasks Using Semantic Code Analysis
type: conference_editor_article
user_id: '83781'
year: '2024'
...
---
_id: '11561'
abstract:
- lang: eng
text: CDISC's Operational Data Model (ODM) is a flexible standard for exchanging
and archiving metadata and subject clinical data in clinical trials. The Portal
of Medical Data Models (MDM-Portal) uses ODM to store more than 15000 medical
forms. As not every electronic health system accepts ODM as input format, there
is a need for conversion between ODM and other data standards and formats. This
research proposes a standardised template-based process to develop ODM converters.
So far, ten converters have been developed and integrated in the MDM-Portal following
this process and new ones should be included soon. The template, programming utilities
and an ODM test suite have been made online available and can be used to easily
develop new converters.
author:
- first_name: I
full_name: Soto-Rey, I
last_name: Soto-Rey
- first_name: P
full_name: Neuhaus, P
last_name: Neuhaus
- first_name: Philipp
full_name: Bruland, Philipp
id: '75847'
last_name: Bruland
orcid: 0000-0001-6939-7630
- first_name: S
full_name: Geßner, S
last_name: Geßner
- first_name: J
full_name: Varghese, J
last_name: Varghese
- first_name: S
full_name: Hegselmann, S
last_name: Hegselmann
- first_name: T
full_name: Brix, T
last_name: Brix
- first_name: M
full_name: Dugas, M
last_name: Dugas
- first_name: M
full_name: Storck, M
last_name: Storck
citation:
ama: 'Soto-Rey I, Neuhaus P, Bruland P, et al. Standardising the Development of
ODM Converters: The ODMToolBox. Stud Health Technol Inform. 2018;247:231-235.'
apa: 'Soto-Rey, I., Neuhaus, P., Bruland, P., Geßner, S., Varghese, J., Hegselmann,
S., Brix, T., Dugas, M., & Storck, M. (2018). Standardising the Development
of ODM Converters: The ODMToolBox. Stud Health Technol Inform, 247,
231–235.'
bjps: 'Soto-Rey I et al. (2018) Standardising the Development of ODM
Converters: The ODMToolBox. Stud Health Technol Inform 247, 231–235.'
chicago: 'Soto-Rey, I, P Neuhaus, Philipp Bruland, S Geßner, J Varghese, S Hegselmann,
T Brix, M Dugas, and M Storck. “Standardising the Development of ODM Converters:
The ODMToolBox.” Stud Health Technol Inform 247 (2018): 231–35.'
chicago-de: 'Soto-Rey, I, P Neuhaus, Philipp Bruland, S Geßner, J Varghese, S Hegselmann,
T Brix, M Dugas und M Storck. 2018. Standardising the Development of ODM Converters:
The ODMToolBox. Stud Health Technol Inform 247: 231–235.'
din1505-2-1: 'Soto-Rey,
I ; Neuhaus, P ; Bruland,
Philipp ; Geßner, S ; Varghese, J ; Hegselmann,
S ; Brix, T ; Dugas,
M ; u. a.: Standardising the Development of ODM Converters: The
ODMToolBox. In: Stud Health Technol Inform Bd. 247 (2018), S. 231–235'
havard: 'I. Soto-Rey, P. Neuhaus, P. Bruland, S. Geßner, J. Varghese, S. Hegselmann,
T. Brix, M. Dugas, M. Storck, Standardising the Development of ODM Converters:
The ODMToolBox., Stud Health Technol Inform. 247 (2018) 231–235.'
ieee: 'I. Soto-Rey et al., “Standardising the Development of ODM Converters:
The ODMToolBox.,” Stud Health Technol Inform, vol. 247, pp. 231–235, 2018.'
mla: 'Soto-Rey, I., et al. “Standardising the Development of ODM Converters: The
ODMToolBox.” Stud Health Technol Inform, vol. 247, 2018, pp. 231–35.'
short: I. Soto-Rey, P. Neuhaus, P. Bruland, S. Geßner, J. Varghese, S. Hegselmann,
T. Brix, M. Dugas, M. Storck, Stud Health Technol Inform 247 (2018) 231–235.
ufg: 'Soto-Rey, I. u. a.: Standardising the Development of ODM Converters:
The ODMToolBox., in: Stud Health Technol Inform 247 (2018), S. 231–235.'
van: 'Soto-Rey I, Neuhaus P, Bruland P, Geßner S, Varghese J, Hegselmann S, et al.
Standardising the Development of ODM Converters: The ODMToolBox. Stud Health Technol
Inform. 2018;247:231–5.'
date_created: 2024-06-24T07:30:35Z
date_updated: 2024-07-18T12:57:21Z
department:
- _id: DEP5024
extern: '1'
external_id:
pmid:
- '29677957'
intvolume: ' 247'
keyword:
- CDISC ODM
- Semantics
- interoperability
language:
- iso: eng
page: 231-235
pmid: '1'
publication: Stud Health Technol Inform
publication_identifier:
eissn:
- 1879-8365
issn:
- 0926-9630
status: public
title: 'Standardising the Development of ODM Converters: The ODMToolBox.'
type: journal_article
user_id: '83781'
volume: 247
year: '2018'
...
---
_id: '11560'
abstract:
- lang: eng
text: 'To address current key problems of medical documentation: lack of transparency,
overwhelming amount of medical contents to be documented and missing interoperability,
the Portal of Medical Data Models (http://medical-data-models.org/) was established
in 2012. Constantly evolving, four years later, the portal displays more than
8900 medical data models with more than 250000 items, of which 84 % have been
semantically annotated with UMLS codes to support interoperability. Giving an
update on new functions and contents of the portal, two additional export formats
have been implemented, allowing the reuse of forms such as HL7''s framework Fast
Health Interoperability Resources (FHIR) Questionnaires, as well as the OpenDataKit
format. Future projects include the implementation of an ODMtoOpenClinica converter,
as well as supporting the reuse of forms with Apple''s ResearchKit and Android''s
ResearchStack.'
author:
- first_name: S
full_name: Geßner, S
last_name: Geßner
- first_name: P
full_name: Neuhaus, P
last_name: Neuhaus
- first_name: J
full_name: Varghese, J
last_name: Varghese
- first_name: Philipp
full_name: Bruland, Philipp
id: '75847'
last_name: Bruland
orcid: 0000-0001-6939-7630
- first_name: A
full_name: Meidt, A
last_name: Meidt
- first_name: I
full_name: Soto-Rey, I
last_name: Soto-Rey
- first_name: M
full_name: Storck, M
last_name: Storck
- first_name: J
full_name: Doods, J
last_name: Doods
- first_name: M
full_name: Dugas, M
last_name: Dugas
citation:
ama: 'Geßner S, Neuhaus P, Varghese J, et al. The Portal of Medical Data Models:
Where Have We Been and Where Are We Going? Stud Health Technol Inform.
2017;245:858-862.'
apa: 'Geßner, S., Neuhaus, P., Varghese, J., Bruland, P., Meidt, A., Soto-Rey, I.,
Storck, M., Doods, J., & Dugas, M. (2017). The Portal of Medical Data Models:
Where Have We Been and Where Are We Going? Stud Health Technol Inform,
245, 858–862.'
bjps: 'Geßner S et al. (2017) The Portal of Medical Data Models: Where
Have We Been and Where Are We Going? Stud Health Technol Inform 245,
858–862.'
chicago: 'Geßner, S, P Neuhaus, J Varghese, Philipp Bruland, A Meidt, I Soto-Rey,
M Storck, J Doods, and M Dugas. “The Portal of Medical Data Models: Where Have
We Been and Where Are We Going?” Stud Health Technol Inform 245 (2017):
858–62.'
chicago-de: 'Geßner, S, P Neuhaus, J Varghese, Philipp Bruland, A Meidt, I Soto-Rey,
M Storck, J Doods und M Dugas. 2017. The Portal of Medical Data Models: Where
Have We Been and Where Are We Going? Stud Health Technol Inform 245: 858–862.'
din1505-2-1: 'Geßner,
S ; Neuhaus, P ; Varghese,
J ; Bruland, Philipp ; Meidt, A ; Soto-Rey,
I ; Storck, M ; Doods,
J ; u. a.: The Portal of Medical Data Models: Where Have We Been
and Where Are We Going? In: Stud Health Technol Inform Bd. 245, IOS Press
(2017), S. 858–862'
havard: 'S. Geßner, P. Neuhaus, J. Varghese, P. Bruland, A. Meidt, I. Soto-Rey,
M. Storck, J. Doods, M. Dugas, The Portal of Medical Data Models: Where Have We
Been and Where Are We Going?, Stud Health Technol Inform. 245 (2017) 858–862.'
ieee: 'S. Geßner et al., “The Portal of Medical Data Models: Where Have We
Been and Where Are We Going?,” Stud Health Technol Inform, vol. 245, pp.
858–862, 2017.'
mla: 'Geßner, S., et al. “The Portal of Medical Data Models: Where Have We Been
and Where Are We Going?” Stud Health Technol Inform, vol. 245, 2017, pp.
858–62.'
short: S. Geßner, P. Neuhaus, J. Varghese, P. Bruland, A. Meidt, I. Soto-Rey, M.
Storck, J. Doods, M. Dugas, Stud Health Technol Inform 245 (2017) 858–862.
ufg: 'Geßner, S. u. a.: The Portal of Medical Data Models: Where Have We
Been and Where Are We Going?, in: Stud Health Technol Inform 245 (2017),
S. 858–862.'
van: 'Geßner S, Neuhaus P, Varghese J, Bruland P, Meidt A, Soto-Rey I, et al. The
Portal of Medical Data Models: Where Have We Been and Where Are We Going? Stud
Health Technol Inform. 2017;245:858–62.'
date_created: 2024-06-24T07:30:25Z
date_updated: 2024-07-18T12:59:59Z
department:
- _id: DEP5024
extern: '1'
external_id:
pmid:
- '29295221'
intvolume: ' 245'
keyword:
- Clinical Trial
- Semantics
- Surveys and Questionnaires
language:
- iso: eng
page: 858-862
pmid: '1'
publication: Stud Health Technol Inform
publication_identifier:
issn:
- 0926-9630
- 1879-8365
publisher: ' IOS Press'
status: public
title: 'The Portal of Medical Data Models: Where Have We Been and Where Are We Going?'
type: journal_article
user_id: '83781'
volume: 245
year: '2017'
...
---
_id: '11576'
abstract:
- lang: eng
text: Data dictionaries provide structural meta-information about data definitions
in health information technology (HIT) systems. In this regard, reusing healthcare
data for secondary purposes offers several advantages (e.g. reduce documentation
times or increased data quality). Prerequisites for data reuse are its quality,
availability and identical meaning of data. In diverse projects, research data
warehouses serve as core components between heterogeneous clinical databases and
various research applications. Given the complexity (high number of data elements)
and dynamics (regular updates) of electronic health record (EHR) data structures,
we propose a clinical metadata warehouse (CMDW) based on a metadata registry standard.
Metadata of two large hospitals were automatically inserted into two CMDWs containing
16,230 forms and 310,519 data elements. Automatic updates of metadata are possible
as well as semantic annotations. A CMDW allows metadata discovery, data quality
assessment and similarity analyses. Common data models for distributed research
networks can be established based on similarity analyses.
author:
- first_name: Philipp
full_name: Bruland, Philipp
id: '75847'
last_name: Bruland
orcid: 0000-0001-6939-7630
- first_name: J
full_name: Doods, J
last_name: Doods
- first_name: M
full_name: Storck, M
last_name: Storck
- first_name: M
full_name: Dugas, M
last_name: Dugas
citation:
ama: Bruland P, Doods J, Storck M, Dugas M. What Information Does Your EHR Contain?
Automatic Generation of a Clinical Metadata Warehouse (CMDW) to Support Identification
and Data Access Within Distributed Clinical Research Networks. Studies in health
technology and informatics. 2017;245:313-317.
apa: Bruland, P., Doods, J., Storck, M., & Dugas, M. (2017). What Information
Does Your EHR Contain? Automatic Generation of a Clinical Metadata Warehouse (CMDW)
to Support Identification and Data Access Within Distributed Clinical Research
Networks. Studies in Health Technology and Informatics, 245, 313–317.
bjps: Bruland P et al. (2017) What Information Does Your EHR Contain?
Automatic Generation of a Clinical Metadata Warehouse (CMDW) to Support Identification
and Data Access Within Distributed Clinical Research Networks. Studies in health
technology and informatics 245, 313–317.
chicago: 'Bruland, Philipp, J Doods, M Storck, and M Dugas. “What Information Does
Your EHR Contain? Automatic Generation of a Clinical Metadata Warehouse (CMDW)
to Support Identification and Data Access Within Distributed Clinical Research
Networks.” Studies in Health Technology and Informatics 245 (2017): 313–17.'
chicago-de: 'Bruland, Philipp, J Doods, M Storck und M Dugas. 2017. What Information
Does Your EHR Contain? Automatic Generation of a Clinical Metadata Warehouse (CMDW)
to Support Identification and Data Access Within Distributed Clinical Research
Networks. Studies in health technology and informatics 245: 313–317.'
din1505-2-1: 'Bruland, Philipp ; Doods, J ; Storck,
M ; Dugas, M: What Information
Does Your EHR Contain? Automatic Generation of a Clinical Metadata Warehouse (CMDW)
to Support Identification and Data Access Within Distributed Clinical Research
Networks. In: Studies in health technology and informatics Bd. 245 (2017),
S. 313–317'
havard: P. Bruland, J. Doods, M. Storck, M. Dugas, What Information Does Your EHR
Contain? Automatic Generation of a Clinical Metadata Warehouse (CMDW) to Support
Identification and Data Access Within Distributed Clinical Research Networks.,
Studies in Health Technology and Informatics. 245 (2017) 313–317.
ieee: P. Bruland, J. Doods, M. Storck, and M. Dugas, “What Information Does Your
EHR Contain? Automatic Generation of a Clinical Metadata Warehouse (CMDW) to Support
Identification and Data Access Within Distributed Clinical Research Networks.,”
Studies in health technology and informatics, vol. 245, pp. 313–317, 2017.
mla: Bruland, Philipp, et al. “What Information Does Your EHR Contain? Automatic
Generation of a Clinical Metadata Warehouse (CMDW) to Support Identification and
Data Access Within Distributed Clinical Research Networks.” Studies in Health
Technology and Informatics, vol. 245, 2017, pp. 313–17.
short: P. Bruland, J. Doods, M. Storck, M. Dugas, Studies in Health Technology and
Informatics 245 (2017) 313–317.
ufg: 'Bruland, Philipp u. a.: What Information Does Your EHR Contain? Automatic
Generation of a Clinical Metadata Warehouse (CMDW) to Support Identification and
Data Access Within Distributed Clinical Research Networks., in: Studies in
health technology and informatics 245 (2017), S. 313–317.'
van: Bruland P, Doods J, Storck M, Dugas M. What Information Does Your EHR Contain?
Automatic Generation of a Clinical Metadata Warehouse (CMDW) to Support Identification
and Data Access Within Distributed Clinical Research Networks. Studies in health
technology and informatics. 2017;245:313–7.
date_created: 2024-06-24T07:36:24Z
date_updated: 2024-07-18T13:42:49Z
department:
- _id: DEP5024
extern: '1'
external_id:
pmid:
- '29295106'
intvolume: ' 245'
keyword:
- Information Systems
- Metadata
- Semantics
language:
- iso: eng
page: 313-317
pmid: '1'
publication: Studies in health technology and informatics
publication_identifier:
eissn:
- 1879-8365
issn:
- 0926-9630
publication_status: published
status: public
title: What Information Does Your EHR Contain? Automatic Generation of a Clinical
Metadata Warehouse (CMDW) to Support Identification and Data Access Within Distributed
Clinical Research Networks.
type: journal_article
user_id: '83781'
volume: 245
year: '2017'
...
---
_id: '682'
abstract:
- lang: eng
text: Well-designed interactive visualizations help users gaining insights into
an organization's data and, finally, making decisions. In the Business Intelligence
(BI) context, the most popular visualization approach is dashboards, which combine
multiple visual components, such as charts, on a single view. Well-founded decisions
require the collaboration of several analysts, such as domain experts, line-of-business
managers, or key suppliers. For face-to-face collaboration settings, multi-display
environments and smart meeting rooms have improved. In the BI context, support
for boardrooms is being discussed for this setting. In this paper, we propose
annotation dashboards, based on a multitouch and multiuser interaction approach,
which are integrated in a multi-display environment constituting a BI digital
boardroom. In addition, means of semantic navigation help business users to easily
get insights into business context information.
author:
- first_name: Jessica
full_name: Rubart, Jessica
id: '45672'
last_name: Rubart
- first_name: Benjamin
full_name: Lietzau, Benjamin
id: '58387'
last_name: Lietzau
- first_name: Patrick
full_name: Soehlke, Patrick
last_name: Soehlke
- first_name: Bastian
full_name: Alex, Bastian
last_name: Alex
- first_name: Stephan
full_name: Becker, Stephan
last_name: Becker
- first_name: Tim
full_name: Wienboeker, Tim
last_name: Wienboeker
citation:
ama: 'Rubart J, Lietzau B, Soehlke P, Alex B, Becker S, Wienboeker T. Semantic Navigation
and Discussion in a Digital Boardroom. In: 2017 IEEE 11th International Conference
on Semantic Computing (ICSC). IEEE; 2017. doi:10.1109/icsc.2017.39'
apa: 'Rubart, J., Lietzau, B., Soehlke, P., Alex, B., Becker, S., & Wienboeker,
T. (2017). Semantic Navigation and Discussion in a Digital Boardroom. In 2017
IEEE 11th International Conference on Semantic Computing (ICSC). San Diego,
CA, USA: IEEE. https://doi.org/10.1109/icsc.2017.39'
bjps: Rubart J et al. (2017) Semantic Navigation and Discussion in
a Digital Boardroom. 2017 IEEE 11th International Conference on Semantic Computing
(ICSC). IEEE.
chicago: Rubart, Jessica, Benjamin Lietzau, Patrick Soehlke, Bastian Alex, Stephan
Becker, and Tim Wienboeker. “Semantic Navigation and Discussion in a Digital Boardroom.”
In 2017 IEEE 11th International Conference on Semantic Computing (ICSC).
IEEE, 2017. https://doi.org/10.1109/icsc.2017.39.
chicago-de: 'Rubart, Jessica, Benjamin Lietzau, Patrick Soehlke, Bastian Alex, Stephan
Becker und Tim Wienboeker. 2017. Semantic Navigation and Discussion in a Digital
Boardroom. In: 2017 IEEE 11th International Conference on Semantic Computing
(ICSC). IEEE. doi:10.1109/icsc.2017.39,
.'
din1505-2-1: 'Rubart, Jessica ; Lietzau, Benjamin ; Soehlke,
Patrick ; Alex, Bastian ;
Becker, Stephan ; Wienboeker,
Tim: Semantic Navigation and Discussion in a Digital Boardroom. In: 2017
IEEE 11th International Conference on Semantic Computing (ICSC) : IEEE, 2017'
havard: 'J. Rubart, B. Lietzau, P. Soehlke, B. Alex, S. Becker, T. Wienboeker, Semantic
Navigation and Discussion in a Digital Boardroom, in: 2017 IEEE 11th International
Conference on Semantic Computing (ICSC), IEEE, 2017.'
ieee: J. Rubart, B. Lietzau, P. Soehlke, B. Alex, S. Becker, and T. Wienboeker,
“Semantic Navigation and Discussion in a Digital Boardroom,” in 2017 IEEE 11th
International Conference on Semantic Computing (ICSC), San Diego, CA, USA,
2017.
mla: Rubart, Jessica, et al. “Semantic Navigation and Discussion in a Digital Boardroom.”
2017 IEEE 11th International Conference on Semantic Computing (ICSC), IEEE,
2017, doi:10.1109/icsc.2017.39.
short: 'J. Rubart, B. Lietzau, P. Soehlke, B. Alex, S. Becker, T. Wienboeker, in:
2017 IEEE 11th International Conference on Semantic Computing (ICSC), IEEE, 2017.'
ufg: 'Rubart, Jessica et. al. (2017): Semantic Navigation and Discussion
in a Digital Boardroom, in: 2017 IEEE 11th International Conference on Semantic
Computing (ICSC).'
van: 'Rubart J, Lietzau B, Soehlke P, Alex B, Becker S, Wienboeker T. Semantic Navigation
and Discussion in a Digital Boardroom. In: 2017 IEEE 11th International Conference
on Semantic Computing (ICSC). IEEE; 2017.'
conference:
end_date: 2017-02-01
location: San Diego, CA, USA
name: 11th International Conference on Semantic Computing
start_date: 2017-01-30
date_created: 2019-03-06T16:03:57Z
date_updated: 2023-03-15T13:50:08Z
department:
- _id: DEP1305
- _id: DEP8008
- _id: DEP8000
doi: 10.1109/icsc.2017.39
keyword:
- Semantics
- Data visualization
- Navigation
- Collaboration
- Context
- Business intelligence
- Digital Boardroom
- Multitouch and Multiuser Interaction
language:
- iso: eng
main_file_link:
- url: https://ieeexplore.ieee.org/document/7889551
publication: 2017 IEEE 11th International Conference on Semantic Computing (ICSC)
publication_identifier:
eisbn:
- 978-1-5090-4284-5
isbn:
- '978-1-5090-4285-2 '
publication_status: published
publisher: IEEE
quality_controlled: '1'
status: public
title: Semantic Navigation and Discussion in a Digital Boardroom
type: conference
user_id: '45672'
year: 2017
...