Investigating plausible reasoning over knowledge graphs for semantics-based health data analytics

Hossein Mohammadhassanzadeh; Samina Raza Abidi; William Van Woensel; Syed Sibte Raza Abidi

doi:10.1109/WETICE.2018.00035

Investigating plausible reasoning over knowledge graphs for semantics-based health data analytics

Hossein Mohammadhassanzadeh, Samina Raza Abidi, William Van Woensel, Syed Sibte Raza Abidi

Medicine

Medicine

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

8 Citations (Scopus)

Abstract

Plausible reasoning reflects the 'plasticity' element of human reasoning, which, by leveraging the semantics of relevant concepts, allows dealing with incomplete data during decision making. We propose the SEmantics-based Data ANalytics (SeDan) framework that integrates plausible reasoning with expressive, fine-grained biomedical ontologies. Using this framework, an unresolvable query can be rewritten to explore the semantic knowledge graph and infer new knowledge. While the gained insights may be plausible, i.e., not supported by crisp deductive reasoning, they may still aid complex medical decision making by recommending plausible solutions. In this paper, we investigate the efficiency of SeDan in a real-world medical setting to pose intelligent medical queries from BioASQ challenges over the MEDLINE database. Experimental results show that SeDan can expand the query answering coverage by resolving up to 45% of initially unresolvable queries. The correctness of the inferred answers, as well as the underlying plausible reasoning processes, was verified by a domain expert.

Original language	English
Title of host publication	Proceedings - 2018 IEEE 27th International Conference on Enabling Technologies
Subtitle of host publication	Infrastructure for Collaborative Enterprises, WETICE 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	154-159
Number of pages	6
ISBN (Electronic)	9781538669167
DOIs	https://doi.org/10.1109/WETICE.2018.00035
Publication status	Published - Oct 17 2018
Event	27th IEEE International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises, WETICE 2018 - Paris, France Duration: Jun 27 2018 → Jun 29 2018

Publication series

Name	Proceedings - 2018 IEEE 27th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises, WETICE 2018

Conference

Conference	27th IEEE International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises, WETICE 2018
Country/Territory	France
City	Paris
Period	6/27/18 → 6/29/18

Bibliographical note

Funding Information:
Acknowledgment: This research is supported by an NSERC Discovery Grant.

Publisher Copyright:
© 2018 IEEE.

ASJC Scopus Subject Areas

Business, Management and Accounting (miscellaneous)
Computer Networks and Communications
Safety, Risk, Reliability and Quality
Modelling and Simulation

Access to Document

10.1109/WETICE.2018.00035

Cite this

Mohammadhassanzadeh, H., Abidi, S. R., Van Woensel, W., & Abidi, S. S. R. (2018). Investigating plausible reasoning over knowledge graphs for semantics-based health data analytics. In Proceedings - 2018 IEEE 27th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises, WETICE 2018 (pp. 154-159). Article 8495925 (Proceedings - 2018 IEEE 27th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises, WETICE 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/WETICE.2018.00035

Investigating plausible reasoning over knowledge graphs for semantics-based health data analytics. / Mohammadhassanzadeh, Hossein; Abidi, Samina Raza; Van Woensel, William et al.
Proceedings - 2018 IEEE 27th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises, WETICE 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 154-159 8495925 (Proceedings - 2018 IEEE 27th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises, WETICE 2018).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Mohammadhassanzadeh, H, Abidi, SR, Van Woensel, W & Abidi, SSR 2018, Investigating plausible reasoning over knowledge graphs for semantics-based health data analytics. in Proceedings - 2018 IEEE 27th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises, WETICE 2018., 8495925, Proceedings - 2018 IEEE 27th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises, WETICE 2018, Institute of Electrical and Electronics Engineers Inc., pp. 154-159, 27th IEEE International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises, WETICE 2018, Paris, France, 6/27/18. https://doi.org/10.1109/WETICE.2018.00035

Mohammadhassanzadeh H, Abidi SR, Van Woensel W, Abidi SSR. Investigating plausible reasoning over knowledge graphs for semantics-based health data analytics. In Proceedings - 2018 IEEE 27th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises, WETICE 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 154-159. 8495925. (Proceedings - 2018 IEEE 27th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises, WETICE 2018). doi: 10.1109/WETICE.2018.00035

Mohammadhassanzadeh, Hossein ; Abidi, Samina Raza ; Van Woensel, William et al. / Investigating plausible reasoning over knowledge graphs for semantics-based health data analytics. Proceedings - 2018 IEEE 27th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises, WETICE 2018. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 154-159 (Proceedings - 2018 IEEE 27th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises, WETICE 2018).

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Investigating plausible reasoning over knowledge graphs for semantics-based health data analytics

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